
SPG
 Referenced in 74 articles
[sw00897]
 Algorithm 813: SPG  software for convexconstrained optimization: Fortran 77 software implementing the SPG method ... introduced. SPG is a nonmonotone projected gradient algorithm for solving largescale convexconstrained optimization...

TAO
 Referenced in 44 articles
[sw10597]
 analyze the performance and scalabilty of algorithms for the solution of large optimization problems ... study uses the GPCG (gradient projection, conjugate gradient) algorithm for solving boundconstrained convex quadratic...

PESTO
 Referenced in 29 articles
[sw20864]
 exact worstcase performance of any algorithm belonging to a broad class of oraclebased ... including those performing explicit, projected, proximal, conditional and inexact (sub)gradient steps. We simultaneously obtain ... algorithm and of several variants of fast proximal gradient, conditional gradient, subgradient and alternating projection ... incorporating a projection or a proximal operator, which leads to an algorithm that converges...

SPGL1
 Referenced in 173 articles
[sw08365]
 finding arbitrary points on this curve; the algorithm is suitable for problems that are large ... domain. At each iteration, a spectral gradientprojection method approximately minimizes a leastsquares problem...

KELLEY
 Referenced in 609 articles
[sw04829]
 complete generality and confine our scope to algorithms that are easy to implement ... first part, chapter 5, studies projection methods for the solution of bound constrained problems ... cases the noise often introduces artificial minimizers. Gradient information, even if available, cannot expected ... used to demonstrate the behavior of optimization algorithms. Chapter 7 introduces implicit filtering, a technique...

IPSepCoLa
 Referenced in 9 articles
[sw09789]
 problem. We give an incremental algorithm based on gradient projection for efficiently solving this problem...

SLEP
 Referenced in 38 articles
[sw13487]
 SLEP: Sparse Learning with Efficient Projections. Main Features: 1) FirstOrder Method. At each iteration ... function value and the gradient; and thus the algorithms can handle largescale sparse data ... firstorder blackbox methods. 3) Efficient Projection. The projection problem (proximal operator...

AMIDST
 Referenced in 5 articles
[sw21741]
 defined as a distributed projected natural gradient ascent algorithm, has excellent convergence properties, and covers...

Jellyfish
 Referenced in 28 articles
[sw12431]
 stochastic gradient algorithms for largescale matrix completion. This paper develops Jellyfish, an algorithm ... gamma _2$norm. Jellyfish implements a projected incremental gradient method with a biased, random ordering...

GPArotation
 Referenced in 1 article
[sw14533]
 GPArotation: GPA Factor Rotation. Gradient Projection Algorithm Rotation for Factor Analysis...

topopt_multi
 Referenced in 17 articles
[sw25723]
 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 ... design is found based on the projected steepest descent method to ensure the reduction ... control constraints. The presented algorithm could be accounted as a constrained $H^1$ optimization algorithm...

LightGBM
 Referenced in 12 articles
[sw27912]
 performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used ... umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft...

Vowpal Wabbit
 Referenced in 10 articles
[sw28398]
 build an intrinsically fast learning algorithm. This project is about approach ... several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss...

DINDSCAL
 Referenced in 1 article
[sw13360]
 projected gradient approach. First, the problem is transformed into a gradient dynamical system ... numerically integrated which gives a globally convergent algorithm for solving the DINDSCAL. The DINDSCAL problem ... solved by iterative algorithm based on the conjugate (projected) gradient method, which MATLAB implementation...

GPfit
 Referenced in 19 articles
[sw14044]
 multistart gradient based optimization algorithm yield optimization that is robust and typically faster than ... genetic algorithm based approach. We present two examples with R codes to illustrate the usage ... license, as part of the R software project (R Development Core Team...

GPGCD
 Referenced in 9 articles
[sw06224]
 pair of polynomials and a degree, our algorithm finds a pair of polynomials which ... which is a generalization of the gradientprojection method, by searching the solution iteratively...

GPSR
 Referenced in 1 article
[sw14968]
 found that a solver of gradient projection type, using special line search and termination techniques ... debiasing step based on the conjugategradient algorithm improves the results further...

PASTIS3D
 Referenced in 3 articles
[sw02168]
 Stokes equations. It uses the implicit projection2 algorithm, which is second order accurate ... data parallel variant of the conjugate gradient method and runs efficiently on parallel systems such...

CARPCG
 Referenced in 10 articles
[sw00105]
 CARPCG is a conjugate gradient (CG) acceleration of CARP, which was introduced ... linear systems. CARP performs Kaczmarz (KACZ) row projections within the blocks, and the results from ... certain KACZ row projections in some superspace (the “averaging projections”), and so CARP is equivalent ... generalization of the (sequential) CGMN algorithm of {\itA. Björck} and {\itT. Elfving} [BIT, Nord. Tidskr...

OptimPack
 Referenced in 1 article
[sw26295]
 possibly, bound constraints on the parameters. The algorithm is based on limited memory BFGS updates ... Thuente inexact line search [2] and gradient projection to account for bounds. The method...