
levmar
 Referenced in 58 articles
[sw04809]
 combination of steepest descent and the GaussNewton method. When the current solution ... algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current...

topopt_multi
 Referenced in 17 articles
[sw25723]
 AllenCahn system and regularized projected steepest descent method. A new computational algorithm is introduced ... functional by a fractional step projected steepest descent method. In the first step ... found based on the projected steepest descent method to ensure the reduction in the objective...

NSOIA
 Referenced in 40 articles
[sw36301]
 NewtonRaphson algorithm and the method of steepest descents applied to minimize the function noted ... given algorithm compares favorable with other numerical methods for solving nonlinear equations. .. The name...

TIGRA
 Referenced in 40 articles
[sw02333]
 TIGRA (Tikhonovgradient method) algorithm proposed uses steepest descent iterations in an inner loop ... discrepancy criterion in an outer loop. The method with given convergence rate results works...

GPFEM
 Referenced in 3 articles
[sw22222]
 minimize the Gross–Pitaevskii energy: a steepest descent method based on Sobolev gradients...

FOPID
 Referenced in 3 articles
[sw20912]
 optimization algorithm based on the steepest descent method is used. Simulation results show the benefit...

SEISCOPE
 Referenced in 4 articles
[sw19396]
 routines, which implement firstorder methods (steepestdescent and nonlinear conjugate gradient) and secondorder...

etas_solve
 Referenced in 2 articles
[sw26918]
 solve, which is based on the steepest descent method and calculates exact gradient and Hessian...

SearchFill
 Referenced in 1 article
[sw26745]
 method works as a steepest descent optimization. Our method, with only two free parameters...

LevenbergMarquardt
 Referenced in 0 articles
[sw05284]
 algorithm for multivariate optimization. The LevenbergMarquardt Method is recommended, if such a function ... algorithm combines advantages of the steepest descent method (that is, minimization along the direction ... gradient) with the Newton method (that is, using a quadratic model to speed ... obtained its operating stability from the steepest descent method, and adopted its accelerated convergence...

GOP
 Referenced in 6 articles
[sw17432]
 method. The approach is presented and implemented for various particular core optimization algorithms: Steepest Descent ... alone and with two additional global optimization methods (Direct Tabu Search and Continuous Greedy Randomized...

PADMOS
 Referenced in 3 articles
[sw13393]
 relevant algorithms from steepest descent and BFGS to Newton’s method. PADMOS itself uses trust...

SparseFIS
 Referenced in 11 articles
[sw13736]
 extended by including rule weights. Our learning method consists of three phases: The first phase ... measure by applying a sparsityconstrained steepest descentoptimization procedure. Depending on the sparsity threshold ... each rule are (near) 0. The method is evaluated, which is based on highdimensional...

ABCRATE
 Referenced in 2 articles
[sw00011]
 calculated as the path of steepest descent from the collinear saddle point, which is called ... treated in curvilinear internal coordinates. The GTST methods include two versions of variational transition state...

CSDP
 Referenced in 200 articles
[sw00169]
 CSDP, A C Library for Semidefinite Programming. This...

CUBPACK
 Referenced in 30 articles
[sw00175]
 CUBPACK aims to offer a collection of re...

Expokit
 Referenced in 180 articles
[sw00258]
 Expokit provides a set of routines aimed at...

HSL
 Referenced in 274 articles
[sw00418]
 HSL (formerly the Harwell Subroutine Library) is a...

HURRY
 Referenced in 27 articles
[sw00420]
 HURRY: An acceleration algorithm for scalar sequences and...

LANCELOT
 Referenced in 302 articles
[sw00500]
 LANCELOT. A Fortran package for largescale nonlinear...