gf_model_set

Modifies a model object.

# Calling Sequence

    gf_model_set(model M, 'clear')

    gf_model_set(model M, 'add fem variable', string name, mesh_fem mf[, int niter])

    gf_model_set(model M, 'add filtered fem variable', string name, mesh_fem mf, int region[, int niter])

    gf_model_set(model M, 'add variable', string name, int size[, int niter])

    gf_model_set(model M, 'resize variable', string name, int size)

    gf_model_set(model M, 'add multiplier', string name, mesh_fem mf, string primalname[, mesh_im mim, int region][, int niter])

    gf_model_set(model M, 'add fem data', string name, mesh_fem mf[, int qdim[, int niter]])

    gf_model_set(model M, 'add initialized fem data', string name, mesh_fem mf, vec V)

    gf_model_set(model M, 'add data', string name, int size[, int niter])

    gf_model_set(model M, 'add initialized data', string name, vec V)

    gf_model_set(model M, 'variable', string name, vec V[, int niter])

    gf_model_set(model M, 'to variables', vec V)

    ind = gf_model_set(model M, 'add Laplacian brick', mesh_im mim, string varname[, int region])

    ind = gf_model_set(model M, 'add generic elliptic brick', mesh_im mim, string varname, string dataname[, int region])

    ind = gf_model_set(model M, 'add source term brick', mesh_im mim, string varname, string dataname[, int region[, string directdataname]])

    ind = gf_model_set(model M, 'add normal source term brick', mesh_im mim, string varname, string dataname, int region)

    ind = gf_model_set(model M, 'add Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region[, string dataname])

    ind = gf_model_set(model M, 'add Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region[, string dataname, mesh_fem mf_mult])

    ind = gf_model_set(model M, 'add normal Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region[, string dataname])

    ind = gf_model_set(model M, 'add normal Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region[, string dataname, mesh_fem mf_mult])

    ind = gf_model_set(model M, 'add generalized Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region, string dataname, string Hname)

    ind = gf_model_set(model M, 'add generalized Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region, string dataname, string Hname[, mesh_fem mf_mult])

    ind = gf_model_set(model M, 'add pointwise constraints with multipliers', string varname, string dataname_pt[, string dataname_unitv] [, string dataname_val])

    ind = gf_model_set(model M, 'add pointwise constraints with given multipliers', string varname, string multname, string dataname_pt[, string dataname_unitv] [, string dataname_val])

    ind = gf_model_set(model M, 'add pointwise constraints with penalization', string varname, scalar coeff, string dataname_pt[, string dataname_unitv] [, string dataname_val])

    gf_model_set(model M, 'change penalization coeff', int ind_brick, scalar coeff)

    ind = gf_model_set(model M, 'add Helmholtz brick', mesh_im mim, string varname, string dataname[, int region])

    ind = gf_model_set(model M, 'add Fourier Robin brick', mesh_im mim, string varname, string dataname, int region)

    ind = gf_model_set(model M, 'add basic nonlinear brick', mesh_im mim, string varname, string f, string dfdu[, string dataname, int region])

    ind = gf_model_set(model M, 'add constraint with multipliers', string varname, string multname, spmat B, vec L)

    ind = gf_model_set(model M, 'add constraint with penalization', string varname, scalar coeff, spmat B, vec L)

    ind = gf_model_set(model M, 'add explicit matrix', string varname1, string varname2, spmat B[, int issymmetric[, int iscoercive]])

    ind = gf_model_set(model M, 'add explicit rhs', string varname, vec L)

    gf_model_set(model M, 'set private matrix', int indbrick, spmat B)

    gf_model_set(model M, 'set private rhs', int indbrick, vec B)

    ind = gf_model_set(model M, 'add isotropic linearized elasticity brick', mesh_im mim, string varname, string dataname_lambda, string dataname_mu[, int region])

    ind = gf_model_set(model M, 'add linear incompressibility brick', mesh_im mim, string varname, string multname_pressure[, int region[, string dataname_coeff]])

    ind = gf_model_set(model M, 'add nonlinear elasticity brick', mesh_im mim, string varname, string constitutive_law, string dataname[, int region])

    ind = gf_model_set(model M, 'add elastoplasticity brick', mesh_im mim ,string projname, string varname, string datalambda, string datamu, string datathreshold, string datasigma[, int region])

    ind = gf_model_set(model M, 'add nonlinear incompressibility brick', mesh_im mim, string varname, string multname_pressure[, int region])

    ind = gf_model_set(model M, 'add bilaplacian brick', mesh_im mim, string varname, string dataname [, int region])

    ind = gf_model_set(model M, 'add Kirchhoff-Love plate brick', mesh_im mim, string varname, string dataname_D, string dataname_nu [, int region])

    ind = gf_model_set(model M, 'add normal derivative source term brick', mesh_im mim, string varname, string dataname, int region)

    ind = gf_model_set(model M, 'add Kirchhoff-Love Neumann term brick', mesh_im mim, string varname, string dataname_M, string dataname_divM, int region)

    ind = gf_model_set(model M, 'add normal derivative Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region [, string dataname, int R_must_be_derivated])

    ind = gf_model_set(model M, 'add normal derivative Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region [, string dataname, int R_must_be_derivated])

    ind = gf_model_set(model M, 'add mass brick', mesh_im mim, string varname[, string dataname_rho[, int region]])

    ind = gf_model_set(model M, 'add basic d on dt brick', mesh_im mim, string varnameU, string dataname_dt[, string dataname_rho[, int region]])

    ind = gf_model_set(model M, 'add basic d2 on dt2 brick', mesh_im mim, string varnameU,  string datanameV, string dataname_dt, string dataname_alpha,[, string dataname_rho[, int region]])

    gf_model_set(model M, 'add theta method dispatcher', ivec bricks_indices, string theta)

    gf_model_set(model M, 'add midpoint dispatcher', ivec bricks_indices)

    gf_model_set(model M, 'velocity update for order two theta method', string varnameU,  string datanameV, string dataname_dt, string dataname_theta)

    gf_model_set(model M, 'velocity update for Newmark scheme', int id2dt2_brick, string varnameU,  string datanameV, string dataname_dt, string dataname_twobeta, string dataname_alpha)

    gf_model_set(model M, 'disable bricks', ivec bricks_indices)

    gf_model_set(model M, 'enable bricks', ivec bricks_indices)

    gf_model_set(model M, 'disable variable', string varname)

    gf_model_set(model M, 'enable variable', string varname)

    gf_model_set(model M, 'first iter')

    gf_model_set(model M, 'next iter')

    ind = gf_model_set(model M, 'add basic contact brick', string varname_u, string multname_n[, string multname_t], string dataname_r, spmat BN[, spmat BT, string dataname_friction_coeff][, string dataname_gap[, string dataname_alpha[, int augmented_version]])

    gf_model_set(model M, 'contact brick set BN', int indbrick, spmat BN)

    gf_model_set(model M, 'contact brick set BT', int indbrick, spmat BT)

    ind = gf_model_set(model M, 'add nodal contact with rigid obstacle brick',  mesh_im mim, string varname_u, string multname_n[, string multname_t], string dataname_r[, string dataname_friction_coeff], int region, string obstacle[,  int augmented_version])

    ind = gf_model_set(model M, 'add contact with rigid obstacle brick',  mesh_im mim, string varname_u, string multname_n[, string multname_t], string dataname_r[, string dataname_friction_coeff], int region, string obstacle[,  int augmented_version])

    ind = gf_model_set(model M, 'add integral contact with rigid obstacle brick',  mesh_im mim, string varname_u, string multname, string dataname_obstacle, string dataname_r [, string dataname_friction_coeff], int region [, int option [, string dataname_alpha [, string dataname_wt [, string dataname_gamma [, string dataname_vt]]]]])

    ind = gf_model_set(model M, 'add penalized contact with rigid obstacle brick',  mesh_im mim, string varname_u, string dataname_obstacle, string dataname_r [, string dataname_coeff], int region [, int option, string dataname_lambda, [, string dataname_alpha [, string dataname_wt]]])

    ind = gf_model_set(model M, 'add Nitsche contact with rigid obstacle brick',  mesh_im mim, string varname_u, string dataname_obstacle, string dataname_r, string dataname_theta, string dataname_friction_coeff, string dataname_lambda, string dataname_mu, int region)

    ind = gf_model_set(model M, 'add nodal contact between nonmatching meshes brick',  mesh_im mim1[, mesh_im mim2], string varname_u1[, string varname_u2], string multname_n[, string multname_t], string dataname_r[, string dataname_fr], int rg1, int rg2[, int slave1, int slave2,  int augmented_version])

    ind = gf_model_set(model M, 'add nonmatching meshes contact brick',  mesh_im mim1[, mesh_im mim2], string varname_u1[, string varname_u2], string multname_n[, string multname_t], string dataname_r[, string dataname_fr], int rg1, int rg2[, int slave1, int slave2,  int augmented_version])

    ind = gf_model_set(model M, 'add integral contact between nonmatching meshes brick',  mesh_im mim, string varname_u1, string varname_u2, string multname, string dataname_r [, string dataname_friction_coeff], int region1, int region2 [, int option [, string dataname_alpha [, string dataname_wt1 , string dataname_wt2]]])

    ind = gf_model_set(model M, 'add penalized contact between nonmatching meshes brick',  mesh_im mim, string varname_u1, string varname_u2, string dataname_r [, string dataname_coeff], int region1, int region2 [, int option [, string dataname_lambda, [, string dataname_alpha [, string dataname_wt1, string dataname_wt2]]]])

    ind = gf_model_set(model M, 'add integral large sliding contact brick',  mesh_im mim, string varname_u, string multname, string dataname_r, string dataname_fr, int rg)

    ind = gf_model_set(model M, 'add boundary to large sliding contact brick',  int indbrick, mesh_im mim, string varname_u, string multname, int rg)

    ind = gf_model_set(model M, 'add rigid obstacle to large sliding contact brick',  int indbrick, string obs)

## Description

Modifies a model object.

## Command list

- `gf_model_set(model M, 'clear')`

  Clear the model.

- `gf_model_set(model M, 'add fem variable', string name, mesh_fem mf[, int niter])`

  Add a variable to the model linked to a mesh_fem. `name` is the variable name and `niter` is the optional number of version of the data stored, for time integration schemes.

- `gf_model_set(model M, 'add filtered fem variable', string name, mesh_fem mf, int region[, int niter])`

  Add a variable to the model linked to a mesh_fem. The variable is filtered in the sense that only the dof on the region are considered. `name` is the variable name and `niter` is the optional number of version of the data stored, for time integration schemes.

- `gf_model_set(model M, 'add variable', string name, int size[, int niter])`

  Add a variable to the model of constant size. `name` is the variable name and `niter` is the optional number of version of the data stored, for time integration schemes.

- `gf_model_set(model M, 'resize variable', string name, int size)`

  Resize a constant size variable of the model. `name` is the variable name.

- `gf_model_set(model M, 'add multiplier', string name, mesh_fem mf, string primalname[, mesh_im mim, int region][, int niter])`

  Add a particular variable linked to a fem being a multiplier with respect to a primal variable. The dof will be filtered with the ``gmm::range_basis`` function applied on the terms of the model which link the multiplier and the primal variable. This in order to retain only linearly independant constraints on the primal variable. Optimized for boundary multipliers. `niter` is the optional number of version of the data stored, for time integration schemes.

- `gf_model_set(model M, 'add fem data', string name, mesh_fem mf[, int qdim[, int niter]])`

  Add a data to the model linked to a mesh_fem. `name` is the data name, `qdim` is the optional dimension of the data over the mesh_fem and `niter` is the optional number of version of the data stored, for time integration schemes.

- `gf_model_set(model M, 'add initialized fem data', string name, mesh_fem mf, vec V)`

  Add a data to the model linked to a mesh_fem. `name` is the data name. The data is initiakized with `V`. The data can be a scalar or vector field.

- `gf_model_set(model M, 'add data', string name, int size[, int niter])`

  Add a data to the model of constant size. `name` is the data name and `niter` is the optional number of version of the data stored, for time integration schemes.

- `gf_model_set(model M, 'add initialized data', string name, vec V)`

  Add a fixed size data to the model linked to a mesh_fem. `name` is the data name and `V` is the value of the data.

- `gf_model_set(model M, 'variable', string name, vec V[, int niter])`

  Set the value of a variable or data. `name` is the data name and `niter` is the optional number of version of the data stored, for time integration schemes.

- `gf_model_set(model M, 'to variables', vec V)`

  Set the value of the variables of the model with the vector `V`. Typically, the vector `V` results of the solve of the tangent linear system (useful to solve your problem with you own solver).

- `ind = gf_model_set(model M, 'add Laplacian brick', mesh_im mim, string varname[, int region])`

  Add a Laplacian term to the model relatively to the variable `varname` (in fact with a minus : -\text{div}(\nabla u)). If this is a vector valued variable, the Laplacian term is added componentwise. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add generic elliptic brick', mesh_im mim, string varname, string dataname[, int region])`

  Add a generic elliptic term to the model relatively to the variable `varname`. The shape of the elliptic term depends both on the variable and the data. This corresponds to a term -\text{div}(a\nabla u) where a is the data and u the variable. The data can be a scalar, a matrix or an order four tensor. The variable can be vector valued or not. If the data is a scalar or a matrix and the variable is vector valued then the term is added componentwise. An order four tensor data is allowed for vector valued variable only. The data can be constant or describbed on a fem. Of course, when the data is a tensor describe on a finite element method (a tensor field) the data can be a huge vector. The components of the matrix/tensor have to be stored with the fortran order (columnwise) in the data vector (compatibility with blas). The symmetry of the given matrix/tensor is not verified (but assumed). If this is a vector valued variable, the elliptic term is added componentwise. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add source term brick', mesh_im mim, string varname, string dataname[, int region[, string directdataname]])`

  Add a source term to the model relatively to the variable `varname`. The source term is represented by the data `dataname` which could be constant or described on a fem. `region` is an optional mesh region on which the term is added. An additional optional data `directdataname` can be provided. The corresponding data vector will be directly added to the right hand side without assembly. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add normal source term brick', mesh_im mim, string varname, string dataname, int region)`

  Add a source term on the variable `varname` on a boundary `region`. This region should be a boundary. The source term is represented by the data `dataname` which could be constant or described on a fem. A scalar product with the outward normal unit vector to the boundary is performed. The main aim of this brick is to represent a Neumann condition with a vector data without performing the scalar product with the normal as a pre-processing. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region[, string dataname])`

  Add a Dirichlet condition on the variable `varname` and the mesh region `region`. This region should be a boundary. The Dirichlet condition is prescribed with a multiplier variable described by `mult_description`. If `mult_description` is a string this is assumed to be the variable name corresponding to the multiplier (which should be first declared as a multiplier variable on the mesh region in the model). If it is a finite element method (mesh_fem object) then a multiplier variable will be added to the model and build on this finite element method (it will be restricted to the mesh region `region` and eventually some conflicting dofs with some other multiplier variables will be suppressed). If it is an integer, then a multiplier variable will be added to the model and build on a classical finite element of degree that integer. `dataname` is the optional right hand side of the Dirichlet condition. It could be constant or described on a fem; scalar or vector valued, depending on the variable on which the Dirichlet condition is prescribed. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region[, string dataname, mesh_fem mf_mult])`

  Add a Dirichlet condition on the variable `varname` and the mesh region `region`. This region should be a boundary. The Dirichlet condition is prescribed with penalization. The penalization coefficient is initially `coeff` and will be added to the data of the model. `dataname` is the optional right hand side of the Dirichlet condition. It could be constant or described on a fem; scalar or vector valued, depending on the variable on which the Dirichlet condition is prescribed. `mf_mult` is an optional parameter which allows to weaken the Dirichlet condition specifying a multiplier space. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add normal Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region[, string dataname])`

  Add a Dirichlet condition to the normal component of the vector (or tensor) valued variable `varname` and the mesh region `region`. This region should be a boundary. The Dirichlet condition is prescribed with a multiplier variable described by `mult_description`. If `mult_description` is a string this is assumed to be the variable name corresponding to the multiplier (which should be first declared as a multiplier variable on the mesh region in the model). If it is a finite element method (mesh_fem object) then a multiplier variable will be added to the model and build on this finite element method (it will be restricted to the mesh region `region` and eventually some conflicting dofs with some other multiplier variables will be suppressed). If it is an integer, then a multiplier variable will be added to the model and build on a classical finite element of degree that integer. `dataname` is the optional right hand side of the Dirichlet condition. It could be constant or described on a fem; scalar or vector valued, depending on the variable on which the Dirichlet condition is prescribed (scalar if the variable is vector valued, vector if the variable is tensor valued). Returns the brick index in the model.

- `ind = gf_model_set(model M, 'add normal Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region[, string dataname, mesh_fem mf_mult])`

  Add a Dirichlet condition to the normal component of the vector (or tensor) valued variable `varname` and the mesh region `region`. This region should be a boundary. The Dirichlet condition is prescribed with penalization. The penalization coefficient is initially `coeff` and will be added to the data of the model. `dataname` is the optional right hand side of the Dirichlet condition. It could be constant or described on a fem; scalar or vector valued, depending on the variable on which the Dirichlet condition is prescribed (scalar if the variable is vector valued, vector if the variable is tensor valued). `mf_mult` is an optional parameter which allows to weaken the Dirichlet condition specifying a multiplier space. Returns the brick index in the model.

- `ind = gf_model_set(model M, 'add generalized Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region, string dataname, string Hname)`

  Add a Dirichlet condition on the variable `varname` and the mesh region `region`. This version is for vector field. It prescribes a condition Hu = r where `H` is a matrix field. The region should be a boundary. The Dirichlet condition is prescribed with a multiplier variable described by `mult_description`. If `mult_description` is a string this is assumed to be the variable name corresponding to the multiplier (which should be first declared as a multiplier variable on the mesh region in the model). If it is a finite element method (mesh_fem object) then a multiplier variable will be added to the model and build on this finite element method (it will be restricted to the mesh region `region` and eventually some conflicting dofs with some other multiplier variables will be suppressed). If it is an integer, then a multiplier variable will be added to the model and build on a classical finite element of degree that integer. `dataname` is the right hand side of the Dirichlet condition. It could be constant or described on a fem; scalar or vector valued, depending on the variable on which the Dirichlet condition is prescribed. `Hname` is the data corresponding to the matrix field `H`. Returns the brick index in the model.

- `ind = gf_model_set(model M, 'add generalized Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region, string dataname, string Hname[, mesh_fem mf_mult])`

  Add a Dirichlet condition on the variable `varname` and the mesh region `region`. This version is for vector field. It prescribes a condition Hu = r where `H` is a matrix field. The region should be a boundary. The Dirichlet condition is prescribed with penalization. The penalization coefficient is intially `coeff` and will be added to the data of the model. `dataname` is the right hand side of the Dirichlet condition. It could be constant or described on a fem; scalar or vector valued, depending on the variable on which the Dirichlet condition is prescribed. `Hname` is the data corresponding to the matrix field `H`. It has to be a constant matrix or described on a scalar fem. `mf_mult` is an optional parameter which allows to weaken the Dirichlet condition specifying a multiplier space. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add pointwise constraints with multipliers', string varname, string dataname_pt[, string dataname_unitv] [, string dataname_val])`

  Add some pointwise constraints on the variable `varname` using multiplier. The multiplier variable is automatically added to the model. The conditions are prescribed on a set of points given in the data `dataname_pt` whose dimension is the number of points times the dimension of the mesh. If the variable represents a vector field, one has to give the data `dataname_unitv` which represents a vector of dimension the number of points times the dimension of the vector field which should store some unit vectors. In that case the prescribed constraint is the scalar product of the variable at the corresponding point with the corresponding unit vector. The optional data `dataname_val` is the vector of values to be prescribed at the different points. This brick is specifically designed to kill rigid displacement in a Neumann problem. Returns the brick index in the model.

- `ind = gf_model_set(model M, 'add pointwise constraints with given multipliers', string varname, string multname, string dataname_pt[, string dataname_unitv] [, string dataname_val])`

  Add some pointwise constraints on the variable `varname` using a given multiplier `multname`. The conditions are prescribed on a set of points given in the data `dataname_pt` whose dimension is the number of points times the dimension of the mesh. The multiplier variable should be a fixed size variable of size the number of points. If the variable represents a vector field, one has to give the data `dataname_unitv` which represents a vector of dimension the number of points times the dimension of the vector field which should store some unit vectors. In that case the prescribed constraint is the scalar product of the variable at the corresponding point with the corresponding unit vector. The optional data `dataname_val` is the vector of values to be prescribed at the different points. This brick is specifically designed to kill rigid displacement in a Neumann problem. Returns the brick index in the model.

- `ind = gf_model_set(model M, 'add pointwise constraints with penalization', string varname, scalar coeff, string dataname_pt[, string dataname_unitv] [, string dataname_val])`

  Add some pointwise constraints on the variable `varname` thanks to a penalization. The penalization coefficient is initially `penalization_coeff` and will be added to the data of the model. The conditions are prescribed on a set of points given in the data `dataname_pt` whose dimension is the number of points times the dimension of the mesh. If the variable represents a vector field, one has to give the data `dataname_unitv` which represents a vector of dimension the number of points times the dimension of the vector field which should store some unit vectors. In that case the prescribed constraint is the scalar product of the variable at the corresponding point with the corresponding unit vector. The optional data `dataname_val` is the vector of values to be prescribed at the different points. This brick is specifically designed to kill rigid displacement in a Neumann problem. Returns the brick index in the model.

- `gf_model_set(model M, 'change penalization coeff', int ind_brick, scalar coeff)`

  Change the penalization coefficient of a Dirichlet condition with penalization brick. If the brick is not of this kind, this function has an undefined behavior.

- `ind = gf_model_set(model M, 'add Helmholtz brick', mesh_im mim, string varname, string dataname[, int region])`

  Add a Helmholtz term to the model relatively to the variable `varname`. `dataname` should contain the wave number. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add Fourier Robin brick', mesh_im mim, string varname, string dataname, int region)`

  Add a Fourier-Robin term to the model relatively to the variable `varname`. This corresponds to a weak term of the form \int (qu).v. `dataname` should contain the parameter q of the Fourier-Robin condition. `region` is the mesh region on which the term is added. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add basic nonlinear brick', mesh_im mim, string varname, string f, string dfdu[, string dataname, int region])`

  Add a brick representing a scalar term f(u) to the left-hand side of the model. In the weak form, one adds +\int f(u)v. The function f may optionally depend on \lambda, i.e., f(u)=f(u,\lambda). `f` and `dfdu` should contain the expressions for f(u) and \frac{df}{du}(u), respectively. `dataname` represents the optional real scalar parameter \lambda in the model. `region` is an optional mesh region on which the term is added. If it is not specified, the term is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add constraint with multipliers', string varname, string multname, spmat B, vec L)`

  Add an additional explicit constraint on the variable `varname` thank to a multiplier `multname` peviously added to the model (should be a fixed size variable). The constraint is BU=L with `B` being a rectangular sparse matrix. It is possible to change the constraint at any time whith the methods gf_model_set(model M, 'set private matrix') and gf_model_set(model M, 'set private rhs'). Return the brick index in the model.

- `ind = gf_model_set(model M, 'add constraint with penalization', string varname, scalar coeff, spmat B, vec L)`

  Add an additional explicit penalized constraint on the variable `varname`. The constraint is :math`BU=L` with `B` being a rectangular sparse matrix. Be aware that `B` should not contain a palin row, otherwise the whole tangent matrix will be plain. It is possible to change the constraint at any time whith the methods gf_model_set(model M, 'set private matrix') and gf_model_set(model M, 'set private rhs'). The method gf_model_set(model M, 'change penalization coeff') can be used. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add explicit matrix', string varname1, string varname2, spmat B[, int issymmetric[, int iscoercive]])`

  Add a brick representing an explicit matrix to be added to the tangent linear system relatively to the variables `varname1` and `varname2`. The given matrix should have has many rows as the dimension of `varname1` and as many columns as the dimension of `varname2`. If the two variables are different and if `issymmetric` is set to 1 then the transpose of the matrix is also added to the tangent system (default is 0). Set `iscoercive` to 1 if the term does not affect the coercivity of the tangent system (default is 0). The matrix can be changed by the command gf_model_set(model M, 'set private matrix'). Return the brick index in the model.

- `ind = gf_model_set(model M, 'add explicit rhs', string varname, vec L)`

  Add a brick representing an explicit right hand side to be added to the right hand side of the tangent linear system relatively to the variable `varname`. The given rhs should have the same size than the dimension of `varname`. The rhs can be changed by the command gf_model_set(model M, 'set private rhs'). Return the brick index in the model.

- `gf_model_set(model M, 'set private matrix', int indbrick, spmat B)`

  For some specific bricks having an internal sparse matrix (explicit bricks: 'constraint brick' and 'explicit matrix brick'), set this matrix.

- `gf_model_set(model M, 'set private rhs', int indbrick, vec B)`

  For some specific bricks having an internal right hand side vector (explicit bricks: 'constraint brick' and 'explicit rhs brick'), set this rhs.

- `ind = gf_model_set(model M, 'add isotropic linearized elasticity brick', mesh_im mim, string varname, string dataname_lambda, string dataname_mu[, int region])`

  Add an isotropic linearized elasticity term to the model relatively to the variable `varname`. `dataname_lambda` and `dataname_mu` should contain the Lame coefficients. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add linear incompressibility brick', mesh_im mim, string varname, string multname_pressure[, int region[, string dataname_coeff]])`

  Add an linear incompressibility condition on `variable`. `multname_pressure` is a variable which represent the pressure. Be aware that an inf-sup condition between the finite element method describing the pressure and the primal variable has to be satisfied. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. `dataname_coeff` is an optional penalization coefficient for nearly incompressible elasticity for instance. In this case, it is the inverse of the Lame coefficient \lambda. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add nonlinear elasticity brick', mesh_im mim, string varname, string constitutive_law, string dataname[, int region])`

  Add a nonlinear elasticity term to the model relatively to the variable `varname`. `lawname` is the constitutive law which could be 'SaintVenant Kirchhoff', 'Mooney Rivlin', 'neo Hookean', 'Ciarlet Geymonat' or 'generalized Blatz Ko'. 'Mooney Rivlin' and 'neo Hookean' law names can be preceded with the word 'compressible' or 'incompressible' to force using the corresponding version. The compressible version of these laws requires one additional material coefficient. By default, the incompressible version of 'Mooney Rivlin' law and the compressible one of the 'neo Hookean' law are considered. In general, 'neo Hookean' is a special case of the 'Mooney Rivlin' law that requires one coefficient less. IMPORTANT : if the variable is defined on a 2D mesh, the plane strain approximation is automatically used. `dataname` is a vector of parameters for the constitutive law. Its length depends on the law. It could be a short vector of constant values or a vector field described on a finite element method for variable coefficients. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add elastoplasticity brick', mesh_im mim ,string projname, string varname, string datalambda, string datamu, string datathreshold, string datasigma[, int region])`

  Add a nonlinear elastoplastic term to the model relatively to the variable `varname`, in small deformations, for an isotropic material and for a quasistatic model. `projname` is the type of projection that we want to use. For the moment, only the Von Mises projection is computing that we could entering 'VM' or 'Von Mises'. `datasigma` is the variable representing the constraints on the material. Be careful that `varname` and `datasigma` are composed of two iterates for the time scheme needed for the Newton algorithm used. Moreover, the finite element method on which `varname` is described is an K ordered mesh_fem, the `datasigma` one have to be at least an K-1 ordered mesh_fem. `datalambda` and `datamu` are the Lame coefficients of the studied material. `datathreshold` is the plasticity threshold of the material. The three last variable could be constants or described on the same finite element method. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add nonlinear incompressibility brick', mesh_im mim, string varname, string multname_pressure[, int region])`

  Add an nonlinear incompressibility condition on `variable` (for large strain elasticity). `multname_pressure` is a variable which represent the pressure. Be aware that an inf-sup condition between the finite element method describing the pressure and the primal variable has to be satisfied. `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add bilaplacian brick', mesh_im mim, string varname, string dataname [, int region])`

  Add a bilaplacian brick on the variable `varname` and on the mesh region `region`. This represent a term \Delta(D \Delta u). where D(x) is a coefficient determined by `dataname` which could be constant or described on a f.e.m. The corresponding weak form is \int D(x)\Delta u(x) \Delta v(x) dx. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add Kirchhoff-Love plate brick', mesh_im mim, string varname, string dataname_D, string dataname_nu [, int region])`

  Add a bilaplacian brick on the variable `varname` and on the mesh region `region`. This represent a term \Delta(D \Delta u) where D(x) is a the flexion modulus determined by `dataname_D`. The term is integrated by part following a Kirchhoff-Love plate model with `dataname_nu` the poisson ratio. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add normal derivative source term brick', mesh_im mim, string varname, string dataname, int region)`

  Add a normal derivative source term brick F = \int b.\partial_n v on the variable `varname` and the mesh region `region`. Update the right hand side of the linear system. `dataname` represents `b` and `varname` represents `v`. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add Kirchhoff-Love Neumann term brick', mesh_im mim, string varname, string dataname_M, string dataname_divM, int region)`

  Add a Neumann term brick for Kirchhoff-Love model on the variable `varname` and the mesh region `region`. `dataname_M` represents the bending moment tensor and `dataname_divM` its divergence. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add normal derivative Dirichlet condition with multipliers', mesh_im mim, string varname, mult_description, int region [, string dataname, int R_must_be_derivated])`

  Add a Dirichlet condition on the normal derivative of the variable `varname` and on the mesh region `region` (which should be a boundary. The general form is \int \partial_n u(x)v(x) = \int r(x)v(x) \forall v where r(x) is the right hand side for the Dirichlet condition (0 for homogeneous conditions) and v is in a space of multipliers defined by `mult_description`. If `mult_description` is a string this is assumed to be the variable name corresponding to the multiplier (which should be first declared as a multiplier variable on the mesh region in the model). If it is a finite element method (mesh_fem object) then a multiplier variable will be added to the model and build on this finite element method (it will be restricted to the mesh region `region` and eventually some conflicting dofs with some other multiplier variables will be suppressed). If it is an integer, then a multiplier variable will be added to the model and build on a classical finite element of degree that integer. `dataname` is an optional parameter which represents the right hand side of the Dirichlet condition. If `R_must_be_derivated` is set to `true` then the normal derivative of `dataname` is considered. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add normal derivative Dirichlet condition with penalization', mesh_im mim, string varname, scalar coeff, int region [, string dataname, int R_must_be_derivated])`

  Add a Dirichlet condition on the normal derivative of the variable `varname` and on the mesh region `region` (which should be a boundary. The general form is \int \partial_n u(x)v(x) = \int r(x)v(x) \forall v where r(x) is the right hand side for the Dirichlet condition (0 for homogeneous conditions). The penalization coefficient is initially `coeff` and will be added to the data of the model. It can be changed with the command gf_model_set(model M, 'change penalization coeff'). `dataname` is an optional parameter which represents the right hand side of the Dirichlet condition. If `R_must_be_derivated` is set to `true` then the normal derivative of `dataname` is considered. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add mass brick', mesh_im mim, string varname[, string dataname_rho[, int region]])`

  Add mass term to the model relatively to the variable `varname`. If specified, the data `dataname_rho` should contain the density (1 if omitted). `region` is an optional mesh region on which the term is added. If it is not specified, it is added on the whole mesh. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add basic d on dt brick', mesh_im mim, string varnameU, string dataname_dt[, string dataname_rho[, int region]])`

  Add the standard discretization of a first order time derivative on `varnameU`. The parameter `dataname_rho` is the density which could be omitted (the defaul value is 1). This brick should be used in addition to a time dispatcher for the other terms. Return the brick index in the model.

- `ind = gf_model_set(model M, 'add basic d2 on dt2 brick', mesh_im mim, string varnameU, string datanameV, string dataname_dt, string dataname_alpha,[, string dataname_rho[, int region]])`

  Add the standard discretization of a second order time derivative on `varnameU`. `datanameV` is a data represented on the same finite element method as U which represents the time derivative of U. The parameter `dataname_rho` is the density which could be omitted (the defaul value is 1). This brick should be used in addition to a time dispatcher for the other terms. The time derivative v of the variable u is preferably computed as a post-traitement which depends on each scheme. The parameter `dataname_alpha` depends on the time integration scheme. Return the brick index in the model.

- `gf_model_set(model M, 'add theta method dispatcher', ivec bricks_indices, string theta)`

  Add a theta-method time dispatcher to a list of bricks. For instance, a matrix term K will be replaced by \theta K U^{n+1} + (1-\theta) K U^{n}.

- `gf_model_set(model M, 'add midpoint dispatcher', ivec bricks_indices)`

  Add a midpoint time dispatcher to a list of bricks. For instance, a nonlinear term K(U) will be replaced by K((U^{n+1} + U^{n})/2).

- `gf_model_set(model M, 'velocity update for order two theta method', string varnameU, string datanameV, string dataname_dt, string dataname_theta)`

  Function which udpate the velocity v^{n+1} after the computation of the displacement u^{n+1} and before the next iteration. Specific for theta-method and when the velocity is included in the data of the model.

- `gf_model_set(model M, 'velocity update for Newmark scheme', int id2dt2_brick, string varnameU, string datanameV, string dataname_dt, string dataname_twobeta, string dataname_alpha)`

  Function which udpate the velocity v^{n+1} after the computation of the displacement u^{n+1} and before the next iteration. Specific for Newmark scheme and when the velocity is included in the data of the model.* This version inverts the mass matrix by a conjugate gradient.

- `gf_model_set(model M, 'disable bricks', ivec bricks_indices)`

  Disable a brick (the brick will no longer participate to the building of the tangent linear system).

- `gf_model_set(model M, 'enable bricks', ivec bricks_indices)`

  Enable a disabled brick.

- `gf_model_set(model M, 'disable variable', string varname)`

  Disable a variable for a solve. The next solve will operate only on the remaining variables. This allows to solve separately different parts of a model. If there is a strong coupling of the variables, a fixed point strategy can the be used.

- `gf_model_set(model M, 'enable variable', string varname)`

  Enable a disabled variable.

- `gf_model_set(model M, 'first iter')`

  To be executed before the first iteration of a time integration scheme.

- `gf_model_set(model M, 'next iter')`

  To be executed at the end of each iteration of a time integration scheme.

- `ind = gf_model_set(model M, 'add basic contact brick', string varname_u, string multname_n[, string multname_t], string dataname_r, spmat BN[, spmat BT, string dataname_friction_coeff][, string dataname_gap[, string dataname_alpha[, int augmented_version]])`

  Add a contact with or without friction brick to the model. If U is the vector of degrees of freedom on which the unilateral constraint is applied, the matrix `BN` have to be such that this constraint is defined by B_N U \le 0. A friction condition can be considered by adding the three parameters `multname_t`, `BT` and `dataname_friction_coeff`. In this case, the tangential displacement is B_T U and the matrix `BT` should have as many rows as `BN` multiplied by d-1 where d is the domain dimension. In this case also, `dataname_friction_coeff` is a data which represents the coefficient of friction. It can be a scalar or a vector representing a value on each contact condition. The unilateral constraint is prescribed thank to a multiplier `multname_n` whose dimension should be equal to the number of rows of `BN`. If a friction condition is added, it is prescribed with a multiplier `multname_t` whose dimension should be equal to the number of rows of `BT`. The augmentation parameter `r` should be chosen in a range of acceptabe values (see Getfem user documentation). `dataname_gap` is an optional parameter representing the initial gap. It can be a single value or a vector of value. `dataname_alpha` is an optional homogenization parameter for the augmentation parameter (see Getfem user documentation). The parameter `augmented_version` indicates the augmentation strategy : 1 for the non-symmetric Alart-Curnier augmented Lagrangian, 2 for the symmetric one (except for the coupling between contact and Coulomb friction), 3 for the unsymmetric method with augmented multipliers, 4 for the unsymmetric method with augmented multipliers and De Saxce projection.

- `gf_model_set(model M, 'contact brick set BN', int indbrick, spmat BN)`

  Can be used to set the BN matrix of a basic contact/friction brick.

- `gf_model_set(model M, 'contact brick set BT', int indbrick, spmat BT)`

  Can be used to set the BT matrix of a basic contact with friction brick.

- `ind = gf_model_set(model M, 'add nodal contact with rigid obstacle brick', mesh_im mim, string varname_u, string multname_n[, string multname_t], string dataname_r[, string dataname_friction_coeff], int region, string obstacle[, int augmented_version])`

  Add a contact with or without friction condition with a rigid obstacle to the model. The condition is applied on the variable `varname_u` on the boundary corresponding to `region`. The rigid obstacle should be described with the string `obstacle` being a signed distance to the obstacle. This string should be an expression where the coordinates are 'x', 'y' in 2D and 'x', 'y', 'z' in 3D. For instance, if the rigid obstacle correspond to z \le 0, the corresponding signed distance will be simply "z". `multname_n` should be a fixed size variable whose size is the number of degrees of freedom on boundary `region`. It represents the contact equivalent nodal forces. In order to add a friction condition one has to add the `multname_t` and `dataname_friction_coeff` parameters. `multname_t` should be a fixed size variable whose size is the number of degrees of freedom on boundary `region` multiplied by d-1 where d is the domain dimension. It represents the friction equivalent nodal forces. The augmentation parameter `r` should be chosen in a range of acceptabe values (close to the Young modulus of the elastic body, see Getfem user documentation). `dataname_friction_coeff` is the friction coefficient. It could be a scalar or a vector of values representing the friction coefficient on each contact node. The parameter `augmented_version` indicates the augmentation strategy : 1 for the non-symmetric Alart-Curnier augmented Lagrangian, 2 for the symmetric one (except for the coupling between contact and Coulomb friction), 3 for the new unsymmetric method. Basically, this brick compute the matrix BN and the vectors gap and alpha and calls the basic contact brick.

- `ind = gf_model_set(model M, 'add contact with rigid obstacle brick', mesh_im mim, string varname_u, string multname_n[, string multname_t], string dataname_r[, string dataname_friction_coeff], int region, string obstacle[, int augmented_version])`

  DEPRECATED FUNCTION. Use 'add nodal contact with rigid obstacle brick' instead.

- `ind = gf_model_set(model M, 'add integral contact with rigid obstacle brick', mesh_im mim, string varname_u, string multname, string dataname_obstacle, string dataname_r [, string dataname_friction_coeff], int region [, int option [, string dataname_alpha [, string dataname_wt [, string dataname_gamma [, string dataname_vt]]]]])`

  Add a contact with or without friction condition with a rigid obstacle to the model. This brick adds a contact which is defined in an integral way. It is the direct approximation of an augmented Lagrangian formulation (see Getfem user documentation) defined at the continuous level. The advantage is a better scalability: the number of Newton iterations should be more or less independent of the mesh size. The contact condition is applied on the variable `varname_u` on the boundary corresponding to `region`. The rigid obstacle should be described with the data `dataname_obstacle` being a signed distance to the obstacle (interpolated on a finite element method). `multname` should be a fem variable representing the contact stress. An inf-sup condition beetween `multname` and `varname_u` is required. The augmentation parameter `dataname_r` should be chosen in a range of acceptabe values. The optional parameter `dataname_friction_coeff` is the friction coefficient which could be constant or defined on a finite element method. Possible values for `option` is 1 for the non-symmetric Alart-Curnier augmented Lagrangian method, 2 for the symmetric one, 3 for the non-symmetric Alart-Curnier method with an additional augmentation and 4 for a new unsymmetric method. The default value is 1. In case of contact with friction, `dataname_alpha` and `dataname_wt` are optional parameters to solve evolutionary friction problems. `dataname_gamma` and `dataname_vt` represent optional data for adding a parameter-dependent sliding velocity to the friction condition.

- `ind = gf_model_set(model M, 'add penalized contact with rigid obstacle brick', mesh_im mim, string varname_u, string dataname_obstacle, string dataname_r [, string dataname_coeff], int region [, int option, string dataname_lambda, [, string dataname_alpha [, string dataname_wt]]])`

  Add a penalized contact with or without friction condition with a rigid obstacle to the model. The condition is applied on the variable `varname_u` on the boundary corresponding to `region`. The rigid obstacle should be described with the data `dataname_obstacle` being a signed distance to the obstacle (interpolated on a finite element method). The penalization parameter `dataname_r` should be chosen large enough to prescribe approximate non-penetration and friction conditions but not too large not to deteriorate too much the conditionning of the tangent system. `dataname_lambda` is an optional parameter used if option is 2. In that case, the penalization term is shifted by lambda (this allows the use of an Uzawa algorithm on the corresponding augmented Lagrangian formulation)

- `ind = gf_model_set(model M, 'add Nitsche contact with rigid obstacle brick', mesh_im mim, string varname_u, string dataname_obstacle, string dataname_r, string dataname_theta, string dataname_friction_coeff, string dataname_lambda, string dataname_mu, int region)`

  Add a contact with friction condition with a rigid obstacle to the model with Nitsche strategy (no multiplier) in an integral way. This is an experimental brick, which works only for linear homogeneous isotropic elasticity. The condition is applied on the variable `varname_u` on the boundary corresponding to `region`. The rigid obstacle should be described with the data `dataname_obstacle` being a signed distance to the obstacle (interpolated on a finite element method). The Nitsche parameter `dataname_r` should be chosen in a range of acceptable values. `dataname_theta` corresponds to the real parameter (1 for the classical symmetric version, 0 for the simplest non symmetric one, -1 for the classical unconditionally coercive non-symmetric one). `dataname_friction_coeff` is the friction coefficient which could be constant or defined on a finite element method. `dataname_lambda` and `dataname_mu` are the Lame coefficients.

- `ind = gf_model_set(model M, 'add nodal contact between nonmatching meshes brick', mesh_im mim1[, mesh_im mim2], string varname_u1[, string varname_u2], string multname_n[, string multname_t], string dataname_r[, string dataname_fr], int rg1, int rg2[, int slave1, int slave2, int augmented_version])`

  Add a contact with or without friction condition between two faces of one or two elastic bodies. The condition is applied on the variable `varname_u1` or the variables `varname_u1` and `varname_u2` depending if a single or two distinct displacement fields are given. Integers `rg1` and `rg2` represent the regions expected to come in contact with each other. In the single displacement variable case the regions defined in both `rg1` and `rg2` refer to the variable `varname_u1`. In the case of two displacement variables, `rg1` refers to `varname_u1` and `rg2` refers to `varname_u2`. `multname_n` should be a fixed size variable whose size is the number of degrees of freedom on those regions among the ones defined in `rg1` and `rg2` which are characterized as "slaves". It represents the contact equivalent nodal normal forces. `multname_t` should be a fixed size variable whose size corresponds to the size of `multname_n` multiplied by qdim - 1 . It represents the contact equivalent nodal tangent (frictional) forces. The augmentation parameter `r` should be chosen in a range of acceptabe values (close to the Young modulus of the elastic body, see Getfem user documentation). The friction coefficient stored in the parameter `fr` is either a single value or a vector of the same size as `multname_n`. The optional parameters `slave1` and `slave2` declare if the regions defined in `rg1` and `rg2` are correspondingly considered as "slaves". By default `slave1` is true and `slave2` is false, i.e. `rg1` contains the slave surfaces, while 'rg2' the master surfaces. Preferrably only one of `slave1` and `slave2` is set to true. The parameter `augmented_version` indicates the augmentation strategy : 1 for the non-symmetric Alart-Curnier augmented Lagrangian, 2 for the symmetric one (except for the coupling between contact and Coulomb friction), 3 for the new unsymmetric method. Basically, this brick computes the matrices BN and BT and the vectors gap and alpha and calls the basic contact brick.

- `ind = gf_model_set(model M, 'add nonmatching meshes contact brick', mesh_im mim1[, mesh_im mim2], string varname_u1[, string varname_u2], string multname_n[, string multname_t], string dataname_r[, string dataname_fr], int rg1, int rg2[, int slave1, int slave2, int augmented_version])`

  DEPRECATED FUNCTION. Use 'add nodal contact between nonmatching meshes brick' instead.

- `ind = gf_model_set(model M, 'add integral contact between nonmatching meshes brick', mesh_im mim, string varname_u1, string varname_u2, string multname, string dataname_r [, string dataname_friction_coeff], int region1, int region2 [, int option [, string dataname_alpha [, string dataname_wt1 , string dataname_wt2]]])`

  Add a contact with or without friction condition between nonmatching meshes to the model. This brick adds a contact which is defined in an integral way. It is the direct approximation of an augmented agrangian formulation (see Getfem user documentation) defined at the continuous level. The advantage should be a better scalability: the number of Newton iterations should be more or less independent of the mesh size. The condition is applied on the variables `varname_u1` and `varname_u2` on the boundaries corresponding to `region1` and `region2`. `multname` should be a fem variable representing the contact stress for the frictionless case and the contact and friction stress for the case with friction. An inf-sup condition between `multname` and `varname_u1` and `varname_u2` is required. The augmentation parameter `dataname_r` should be chosen in a range of acceptable values. The optional parameter `dataname_friction_coeff` is the friction coefficient which could be constant or defined on a finite element method on the same mesh as `varname_u1`. Possible values for `option` is 1 for the non-symmetric Alart-Curnier augmented Lagrangian method, 2 for the symmetric one, 3 for the non-symmetric Alart-Curnier method with an additional augmentation and 4 for a new unsymmetric method. The default value is 1. In case of contact with friction, `dataname_alpha`, `dataname_wt1` and `dataname_wt2` are optional parameters to solve evolutionary friction problems.

- `ind = gf_model_set(model M, 'add penalized contact between nonmatching meshes brick', mesh_im mim, string varname_u1, string varname_u2, string dataname_r [, string dataname_coeff], int region1, int region2 [, int option [, string dataname_lambda, [, string dataname_alpha [, string dataname_wt1, string dataname_wt2]]]])`

  Add a penalized contact condition with or without friction between nonmatching meshes to the model. The condition is applied on the variables `varname_u1` and `varname_u2` on the boundaries corresponding to `region1` and `region2`. The penalization parameter `dataname_r` should be chosen large enough to prescribe approximate non-penetration and friction conditions but not too large not to deteriorate too much the conditionning of the tangent system. The optional parameter `dataname_friction_coeff` is the friction coefficient which could be constant or defined on a finite element method on the same mesh as `varname_u1`. `dataname_lambda` is an optional parameter used if option is 2. In that case, the penalization term is shifted by lambda (this allows the use of an Uzawa algorithm on the corresponding augmented Lagrangian formulation) In case of contact with friction, `dataname_alpha`, `dataname_wt1` and `dataname_wt2` are optional parameters to solve evolutionary friction problems.

- `ind = gf_model_set(model M, 'add integral large sliding contact brick', mesh_im mim, string varname_u, string multname, string dataname_r, string dataname_fr, int rg)`

  (still experimental brick) Add a large sliding contact with friction brick to the model. This brick is able to deal with auto-contact, contact between several deformable bodies and contact with rigid obstacles. The condition is applied on the variable `varname_u` on the boundary corresponding to `region`. `dataname_r` is the augmentation parameter of the augmented Lagrangian. `dataname_friction_coeff` is the friction coefficient. `mim` is an integration method on the boundary. `varname_u` is the variable on which the contact condition will be prescribed (should be of displacement type). `multname` is a multiplier defined on the boundary which will represent the contact force. If no additional boundary or rigid obstacle is added, only auto-contact will be detected. Use `add_boundary_to_large_sliding_contact_brick` and `add_rigid_obstacle_to_large_sliding_contact_brick` to add contact boundaries and rigid obstacles.

- `ind = gf_model_set(model M, 'add boundary to large sliding contact brick', int indbrick, mesh_im mim, string varname_u, string multname, int rg)`

  Add a contact boundary to an existing large sliding contact brick. `indbrick` is the brick index.

- `ind = gf_model_set(model M, 'add rigid obstacle to large sliding contact brick', int indbrick, string obs)`

  Add a rigid obstacle to an existing large sliding contact brick. `indbrick` is the brick index, `obs` is the expression of a function which should be closed to a signed distance to the obstacle.

## See Also

- getfem types

## Authors

Y. Collette