
CG_DESCENT
 Referenced in 122 articles
[sw04813]
 Algorithm 851: CG_DESCENT. A conjugate gradient method with guaranteed descent Recently, a new nonlinear ... conjugate gradient scheme was developed which satisfies the descent condition gTkdk ... extensive numerical tests and comparisons with other methods for largescale unconstrained optimization are given...

Pegasos
 Referenced in 98 articles
[sw08752]
 contrast, previous analyses of stochastic gradient descent methods for SVMs require Ω(1/ϵ2) iterations...

SNLSDP
 Referenced in 38 articles
[sw05127]
 starting point for a gradient descent method with backtracking line search to solve the smooth...

TIGRA
 Referenced in 40 articles
[sw02333]
 presented. The TIGRA (Tikhonovgradient method) algorithm proposed uses steepest descent iterations in an inner...

Wirtinger Flow
 Referenced in 83 articles
[sw34175]
 initialization obtained by means of a spectral method, and then refines this initial estimate ... computational complexity, much like in a gradient descent scheme. The main contribution is that this ... patterns. We illustrate the effectiveness of our methods with various experiments on image data. Underlying...

LASSO
 Referenced in 32 articles
[sw02850]
 gradient descent algorithm for LASSO LASSO is a useful method to achieve the shrinkage...

BADMM
 Referenced in 26 articles
[sw20288]
 Alternating Direction Method of Multipliers. The mirror descent algorithm (MDA) generalizes gradient descent by using ... paper, we similarly generalize the alternating direction method of multipliers (ADMM) to Bregman ADMM (BADMM...

topopt_multi
 Referenced in 17 articles
[sw25723]
 Cahn system and regularized projected steepest descent method. A new computational algorithm is introduced ... gradient flow of the objective functional by a fractional step projected steepest descent method...

hgm
 Referenced in 2 articles
[sw25628]
 package hgm: Holonomic Gradient Method and Gradient Descent. The holonomic gradient method (HGM, hgm) gives ... difference equations. The holonomic gradient descent (HGD, hgd) gives a method to find maximal likelihood...

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

ADMMSoftmax
 Referenced in 1 article
[sw32744]
 solving multinomial logistic regression (MLR) problems. Our method is geared toward supervised classification tasks with ... quasi Newton, and a stochastic gradient descent method...

GPFEM
 Referenced in 3 articles
[sw22222]
 Pitaevskii energy: a steepest descent method based on Sobolev gradients and a minimization algorithm based...

DNSPLIN1
 Referenced in 2 articles
[sw01235]
 strain energy by a descent method with a Sobolev gradient in place of the standard...

etas_solve
 Referenced in 2 articles
[sw26918]
 based on the steepest descent method and calculates exact gradient and Hessian using the automatic...

LSGA
 Referenced in 1 article
[sw02836]
 segmentation. Levelsetbased segmentation methods typically perform gradient descent minimization on an energy function ... features: the Gabor wavelet based textural segmentation method [1, 9], and the levelset based...

DARTS
 Referenced in 7 articles
[sw36213]
 discrete and nondifferentiable search space, our method is based on the continuous relaxation ... efficient search of the architecture using gradient descent. Extensive experiments on CIFAR10, ImageNet, Penn...

NESVM
 Referenced in 6 articles
[sw08753]
 primal SVM. Then the optimal gradient method without any line search is adopted to solve ... current gradient and historical gradients are combined to determine the descent direction, while the Lipschitz ... smooth parameter and using the continuation method. Our experiments on census income categorization, indoor/outdoor scene...

Oger
 Referenced in 2 articles
[sw09696]
 sets, gradient descent training, several crossvalidation schemes and parallel parameter optimization methods. Additionally, several...

deepNN
 Referenced in 1 article
[sw38663]
 Learning methods. Includes multilayer perceptron, different activation functions, regularisation strategies, stochastic gradient descent and dropout...

ACDS
 Referenced in 3 articles
[sw31742]
 Yu.E. Nesterov proposed accelerated gradientfree methods for solving such problems. Since only unconditional optimization ... this statement. We propose an accelerated descent method along a random direction with ... extend this approach to an accelerated gradientfree method). We obtain estimates of the rate...