petsc-3.11.4 2019-09-28
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TAOCG
Nonlinear conjugate gradient method is an extension of the nonlinear conjugate gradient solver for nonlinear optimization.
Options Database Keys
-tao_cg_eta <r>
- restart tolerance
-tao_cg_type <taocg_type>
- cg formula
-tao_cg_delta_min <r>
- minimum delta value
-tao_cg_delta_max <r>
- maximum delta value
Notes
CG formulas are
"fr" - Fletcher-Reeves "pr" - Polak-Ribiere "prp" - Polak-Ribiere-Plus "hs" - Hestenes-Steifel "dy" - Dai-Yuan
Level
beginner
Location
src/tao/unconstrained/impls/cg/taocg.c
Examples
src/ts/examples/tutorials/ex16opt_p.c.html
src/ts/examples/tutorials/ex16opt_ic.c.html
src/tao/unconstrained/examples/tutorials/eptorsion2.c.html
src/tao/unconstrained/examples/tutorials/minsurf2.c.html
src/tao/unconstrained/examples/tutorials/eptorsion2f.F.html
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages