Lines Matching refs:conjugate
88 minimization method (e.g., limited-memory variable metric, conjugate
860 method (`tao_lmvm`) and nonlinear conjugate gradient method
1103 conjugate gradient method, Nash conjugate gradient method,
1104 Steihaug-Toint conjugate gradient method, generalized Lanczos method, or
1112 the linear system of equations. For the conjugate gradient methods and
1192 computed and reduces the number of iterations of the conjugate gradient
1207 standard conjugate gradient method and initializes the trust region to
1448 the Nash or Steihaug-Toint conjugate gradient methods or the generalized
1457 compute the direction. For the Nash and Steihaug-Toint conjugate
1482 standard conjugate gradient method and initializes the trust region to
1586 The nonlinear conjugate gradient method can be viewed as an extension of
1587 the conjugate gradient method for solving symmetric, positive-definite
1591 conjugate gradient method can be selected by using the TAO solver
1598 Dai-Yuan method. These conjugate gradient methods can be specified by
1602 The conjugate gradient method incorporates automatic restarts when
1750 method. Trust-region conjugate gradient methods (`KSPNASH`,
1793 trust-region conjugate gradient method is used for the Hessian
1857 BNCG extends the unconstrained nonlinear conjugate gradient algorithm to
2856 conjugate gradient method to minimize an objective function. Each
2859 conjugate gradient iterations. After these iterates, the TRON solver
2861 applies a preconditioned conjugate gradient method to a quadratic model
2867 conjugate gradients to ensure convergence. The initial trust-region
3005 For the nonlinear conjugate gradient solver (`TAOBNCG`), this option
3081 structures. In order to implement the conjugate gradient algorithm, for
3109 solves an unconstrained minimization problem using the conjugate
3206 using the conjugate gradient algorithm and computations using Vec
3211 Nonlinear conjugate gradient algorithms also require a line search. TAO
3238 conjugate gradient algorithm shown above can be implemented as follows.
3279 conjugate gradient algorithm, sets default convergence tolerances, and
3295 created by earlier routines. For the nonlinear conjugate gradient method