SNESNEWTONTR#
Newton based nonlinear solver that uses trust-region dogleg method with Cauchy direction
Options Database Keys#
-snes_tr_tol
- trust region tolerance-snes_tr_eta1
- trust region parameter 0.0 <= eta1 <= eta2, rho >= eta1 breaks out of the inner iteration (default: eta1=0.001)-snes_tr_eta2
- trust region parameter 0.0 <= eta1 <= eta2, rho <= eta2 shrinks the trust region (default: eta2=0.25)-snes_tr_eta3
- trust region parameter eta3 > eta2, rho >= eta3 expands the trust region (default: eta3=0.75)-snes_tr_t1
- trust region parameter, shrinking factor of trust region (default: 0.25)-snes_tr_t2
- trust region parameter, expanding factor of trust region (default: 2.0)-snes_tr_deltaM
- trust region parameter, max size of trust region (default: MAX_REAL)-snes_tr_delta0
- trust region parameter, initial size of trust region (default: 0.2)-snes_tr_fallback_type <newton,cauchy,dogleg> - Solution strategy to test reduction when step is outside of trust region. Can use scaled Newton direction, Cauchy point (Steepest Descent direction) or dogleg method.
Reference#
**** -*** “Numerical Optimization” by Nocedal and Wright, chapter 4.
(since 3.19)
See Also#
SNESCreate()
, SNES
, SNESSetType()
, SNESNEWTONLS
, SNESSetTrustRegionTolerance()
,
SNESNewtonTRPreCheck()
, SNESNewtonTRGetPreCheck()
, SNESNewtonTRSetPostCheck()
, SNESNewtonTRGetPostCheck()
,
SNESNewtonTRSetPreCheck()
, SNESNewtonTRSetFallbackType()
Level#
deprecated
Location#
Index of all SNES routines
Table of Contents for all manual pages
Index of all manual pages