petsc-3.6.2 2015-10-02
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# TAOLMVM

Limited Memory Variable Metric method is a quasi-Newton optimization solver for unconstrained minimization. It solves the Newton step Hkdk = - gk using an approximation Bk in place of Hk, where Bk is composed using the BFGS update formula. A More-Thuente line search is then used to computed the steplength in the dk direction

### Options Database Keys

| -tao_lmm_vectors | - number of vectors to use for approximation
| -tao_lmm_scale_type | - "none","scalar","broyden"
| -tao_lmm_limit_type | - "none","average","relative","absolute"
| -tao_lmm_rescale_type | - "none","scalar","gl"
| -tao_lmm_limit_mu | - mu limiting factor
| -tao_lmm_limit_nu | - nu limiting factor
| -tao_lmm_delta_min | - minimum delta value
| -tao_lmm_delta_max | - maximum delta value
| -tao_lmm_broyden_phi | - phi factor for Broyden scaling
| -tao_lmm_scalar_alpha | - alpha factor for scalar scaling
| -tao_lmm_rescale_alpha | - alpha factor for rescaling diagonal
| -tao_lmm_rescale_beta | - beta factor for rescaling diagonal
| -tao_lmm_scalar_history | - amount of history for scalar scaling
| -tao_lmm_rescale_history | - amount of history for rescaling diagonal
| -tao_lmm_eps | - rejection tolerance

Level:beginner
Location: src/tao/unconstrained/impls/lmvm/lmvm.c
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages

### Examples

src/tao/unconstrained/examples/tutorials/eptorsion1.c.html
src/tao/unconstrained/examples/tutorials/rosenbrock1.c.html
src/tao/unconstrained/examples/tutorials/rosenbrock1f.F.html