
GradSamp
 Referenced in 82 articles
[sw05270]
 robust gradient sampling algorithm for nonsmooth, nonconvex optimization The authors describe a practical and robust ... only request formulated is that the gradient of the function is easily computed where...

HIFOO
 Referenced in 45 articles
[sw05188]
 based on quasiNewton updating and gradient sampling...

HANSO
 Referenced in 9 articles
[sw05271]
 package based on the BFGS and gradient sampling methods. For general unconstrained minimization: convex ... including BFGS, limited memory BFGS and gradient sampling methods, based on weak Wolfe line search...

DAKOTA
 Referenced in 50 articles
[sw05202]
 optimization with gradient and nongradientbased methods; uncertainty quantification with sampling, reliability, and stochastic expansion...

SLQPGS
 Referenced in 5 articles
[sw05162]
 Sequential Linear or Quadratic Programming with Gradient Sampling (Matlab...

CONMIN
 Referenced in 50 articles
[sw04741]
 provide gradient information. If analytic gradients of the objective or constraint functions are not available ... used without special knowledge of optimization techniques. Sample problems are inc! luded to help...

IMFIL
 Referenced in 26 articles
[sw04814]
 interpolates to get an approximation of the gradient. Implicit Filtering describes the algorithm, its convergence ... area of derivativefree or sampling methods to be accompanied by publicly available software...

GPDT
 Referenced in 40 articles
[sw04803]
 such as the quadratic subproblem solution, the gradient updating, the working set selection, are systematically ... realworld data sets with millions training samples highlight how the software makes large scale...

ABCRATE
 Referenced in 2 articles
[sw00011]
 potential energy and its gradient at that geometry (sample subprograms for several systems are provided...

IJK
 Referenced in 1 article
[sw21790]
 dual contouring and Religrad for computing reliable gradients from scalar data. It also contains programs ... information, for generating regular grid samplings of scalar and gradient fields, for measuring the angle...

NESVM
 Referenced in 5 articles
[sw08753]
 NESVM: A Fast Gradient Method for Support Vector Machines. Support vector machines (SVMs) are invaluable ... applications with a great deal of samples as well as a large number of features ... paper, thus, we present NESVM, a fast gradient SVM solver that can optimize various...

DeepTrack
 Referenced in 2 articles
[sw27576]
 loss function that maintains as many training samples as possible and reduces the risk ... ordinary Stochastic Gradient Descent approach in CNN training with a robust sample selection mechanism...

ZhuSuan
 Referenced in 2 articles
[sw27939]
 objectives and advanced gradient estimators (SGVB, REINFORCE, VIMCO, etc.). Importance sampling for learning and evaluating...

COMBIgor
 Referenced in 1 article
[sw28386]
 experiments involve synthesis of sample libraries with lateral composition gradients requiring spatiallyresolved characterization...

IPSepCoLa
 Referenced in 8 articles
[sw09789]
 give an incremental algorithm based on gradient projection for efficiently solving this problem. The algorithm ... demonstrate the utility of our technique with sample data from a number of practical applications...

MINMOD
 Referenced in 10 articles
[sw16356]
 factors, using computer analysis of a frequentlysampled intravenous glucose tolerance test (FSIGT). This ‘minimal ... squares estimation technique is used, employing a gradienttype of estimation algorithm, and the first...

ZOOjl
 Referenced in 1 article
[sw22397]
 gradient of the objective function, but instead, learns from samples of the search space...

QUIC
 Referenced in 5 articles
[sw11795]
 Gaussian Markov Random Field, from very limited samples. We propose a novel algorithm for solving ... methods that largely use first order gradient information, our algorithm is based on Newton...

ASTRODF
 Referenced in 3 articles
[sw26833]
 ASTRODF: a class of adaptive sampling trustregion algorithms for derivativefree stochastic optimization ... provide no direct observations of the function gradient. We present ASTRODF  a class ... sense that the extent of Monte Carlo sampling is determined by continuously monitoring and balancing...

sparseHessianFD
 Referenced in 2 articles
[sw23054]
 improve efficiency of numerical optimization and sampling algorithms. By exploiting the known sparsity pattern ... sparseHessianFD package require many fewer function or gradient evaluations than would be required...