• # tn

• Referenced in 110 articles [sw05140]
• linear conjugate-gradient method may be exploited to define a modified Newton method which ... Newton method is to terminate the iterations earlier. A preconditioned truncated Newton method is described ... direction defined by a nonlinear conjugate-gradient-type method and a modified Newton direction. Numerical...
• # CG_DESCENT

• Referenced in 81 articles [sw04813]
• DESCENT. A conjugate gradient method with guaranteed descent Recently, a new nonlinear conjugate gradient scheme ... extensive numerical tests and comparisons with other methods for large-scale unconstrained optimization are given...
• # Poblano

• Referenced in 9 articles [sw04186]
• converge to a stationary point where the gradient is approximately zero. A line search satisfying ... methods in Poblano include several nonlinear conjugate gradient methods (Fletcher-Reeves, Polak-Ribiere, Hestenes-Stiefel...
• # CGOPT

• Referenced in 4 articles [sw10952]
• improved nonlinear conjugate gradient method with an optimal property. Conjugate gradient methods have played ... proposed an efficient nonlinear conjugate gradient method called CGOPT, through seeking the conjugate gradient direction...
• # CG+

• Referenced in 13 articles [sw05285]
• unconstrained, nonlinear optimization problems. CG+ implements three different versions of the Conjugate Gradient method...
• # SEISCOPE

• Referenced in 3 articles [sw19396]
• which implement first-order methods (steepest-descent and nonlinear conjugate gradient) and second-order methods ... Newton), for the solution of large-scale nonlinear optimization problems. An efficient line-search strategy...
• # CONMIN

• Referenced in 50 articles [sw04741]
• linear or nonlinear constrained optimization problems. The basic optimization algorithm is the Method of Feasible ... constraint functions and to provide gradient information. If analytic gradients of the objective or constraint ... problems may also be solved, and the conjugate direction method of Fletcher and Reeves...
• # PREQN

• Referenced in 7 articles [sw01233]
• automatically generating preconditioners for the conjugate gradient method. It is designed for solving a sequence ... this type arise, for example, in nonlinear optimization. The preconditioners are based on limited-memory ... that a single call from a conjugate gradient routine performs the preconditioning operation and stores...
• # NPPC

• Referenced in 4 articles [sw08728]
• system of linear equations by conjugate gradient method. The performance of the reformulated NPPC ... synthetic data sets for both linear and nonlinear classifiers. Apart from the technical improvement...
• # MHOST

• Referenced in 2 articles [sw18263]
• nonlinear equation solution including the classical Newton-Raphson, modified, quasi and secant Newton methods ... with optional line search and the conjugate gradient method...
• # IP-PCG

• Referenced in 3 articles [sw04830]
• software designed to solve large-scale Nonlinear Programming Problems (NLP). It employs a Newton inexact ... solved by the Preconditioned Conjugate Gradient (PCG) method, with a suitable indefinite preconditioner...
• # trlib

• Referenced in 1 article [sw17722]
• from preexisting ones. We implement both conjugate gradient (CG) and Lanczos iterations for assembly ... region problem frequently arises in sequential methods for nonlinear optimization. In this implementation, we made...