• # SPG

• Referenced in 74 articles [sw00897]
• Algorithm 813: SPG -- software for convex-constrained optimization: Fortran 77 software implementing the SPG method ... introduced. SPG is a nonmonotone projected gradient algorithm for solving large-scale convex-constrained 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 bound-constrained convex quadratic...
• # PESTO

• Referenced in 29 articles [sw20864]
• exact worst-case performance of any algorithm belonging to a broad class of oracle-based ... 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 gradient-projection method approximately minimizes a least-squares 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...
• # SLEP

• Referenced in 38 articles [sw13487]
• SLEP: Sparse Learning with Efficient Projections. Main Features: 1) First-Order Method. At each iteration ... function value and the gradient; and thus the algorithms can handle large-scale sparse data ... first-order black-box methods. 3) Efficient Projection. The projection problem (proximal operator...
• # Jellyfish

• Referenced in 28 articles [sw12431]
• # 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]
• multi-start 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 gradient-projection 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 conjugate-gradient algorithm improves the results further...
• # PASTIS-3D

• Referenced in 3 articles [sw02168]
• Stokes equations. It uses the implicit projection-2 algorithm, which is second order accurate ... data parallel variant of the conjugate gradient method and runs efficiently on parallel systems such...
• # CARP-CG

• Referenced in 10 articles [sw00105]
• CARP-CG 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...