
ECOS
 Referenced in 35 articles
[sw12123]
 opensource numerical software package for solving optimization problems with secondorder cone constraints (SOCPs ... includes linear (LPs), quadratic (QPs), and quadraticallyconstrained quadratic programs (QCQPs). ECOS also supports ... variables by employing a simple branch and bound technique. ECOS is written entirely in ANSI ... consequence, it can be used to solve optimization problems on any embedded system for which...

OSGA
 Referenced in 5 articles
[sw16542]
 User’s Manual for OSGA (Optimal SubGradient Algorithm). This document provides a user’s guide ... solving largescale unconstrained, boundconstrained, and simply constrained convex optimization...

TRICE
 Referenced in 46 articles
[sw05197]
 keep strict feasibility with respect to the bound constraints by using an affine scaling method ... Coleman} and {it Y. Li} [SIAM J. Optim ... they exploit trustregion techniques for equalityconstrained optimization. Thus, they allow the computation...

SLMQN
 Referenced in 2 articles
[sw00879]
 Newton method for largescale bound constrained nonlinear optimization. SLMQN is a subspace limited memory ... quasiNewton algorithm for solving largescale bound constrained nonlinear programming problems. The algorithm...

libbrkga
 Referenced in 1 article
[sw13245]
 Python/C++ library for boundconstrained global optimization using a biased randomkey genetic algorithm. This ... genetic algorithm (BRKGA) for bound constrained global optimization. BRKGA (J Heuristics 17:487525, 2011b...

MLOCPSOA
 Referenced in 1 article
[sw05055]
 MLOCPSOA is a solver for bound constrained optimization, base on the particle swarm paradigm. MLOCPSOA...

SQOPT
 Referenced in 17 articles
[sw07860]
 practical antidegeneracy procedure, scaling, and elastic bounds on any number of constraints and variables ... SNOPT package for largescale nonlinearly constrained optimization. The source code is reentrant...

Intsolver
 Referenced in 3 articles
[sw08787]
 used to bound ALL solutions of nonlinear optimization problem, equality constrained or not as well ... through the analysis of some important global optimization examples that we provide with the main...

ARGONAUT
 Referenced in 5 articles
[sw20651]
 global optimization of general constrained greybox problems. ARGONAUT incorporates variable selection, bounds tightening ... representations of unknown equations, which are globally optimized. ARGONAUT is tested on a large...

GLOPT
 Referenced in 19 articles
[sw00359]
 global minimizer. \parGLOPT uses a branch and bound technique to split the problem recursively into ... block separable structure of the optimization problem. \parIn this paper we discuss a new reduction ... ways for generating feasible points of constrained nonlinear programs. These are implemented as the first...

TRESNEI
 Referenced in 14 articles
[sw05208]
 trustregion GaussNewton method for boundconstrained nonlinear leastsquares problems is presented ... numerical comparison with functions from the Matlab Optimization Toolbox is carried...

PyBOBYQA
 Referenced in 1 article
[sw32721]
 BOBYQA: DerivativeFree Optimizer for BoundConstrained Minimization. PyBOBYQA is a flexible package...

SparseFIS
 Referenced in 10 articles
[sw13736]
 kind of upper bound on a reasonable granularity. The second phase optimizes the rule weights ... squares error measure by applying a sparsityconstrained steepest descentoptimization procedure. Depending...

ibexMop
 Referenced in 1 article
[sw34657]
 only a few approaches dealing with nonlinear optimization problems, when they consider multiple objectives ... interval branch & bound algorithm for solving nonlinear constrained biobjective optimization problems. Although the general strategy...

SnadiOpt
 Referenced in 4 articles
[sw14988]
 generalpurpose system for solving optimization problems with many variables and constraints. It minimizes ... linear or nonlinear function subject to bounds on the variables and sparse linear or nonlinear ... quadratic programming and for linearly constrained optimization, as well as for general nonlinear programs...

PESC
 Referenced in 6 articles
[sw17860]
 general framework for constrained Bayesian optimization using informationbased search. We present an informationtheoretic ... framework for solving global blackbox optimization problems that also have blackbox constraints ... target objective. We take a bounded rationality approach and develop a partial update for PESC ... direction towards a unified solution for constrained Bayesian optimization...

SOFAR
 Referenced in 3 articles
[sw31665]
 sparse singular value decomposition with orthogonality constrained optimization to learn the underlying association networks, with ... convexityassisted nonconvex optimization, we derive nonasymptotic error bounds for the suggested procedure characterizing...

cumulativemm
 Referenced in 3 articles
[sw15628]
 constrained project scheduling problem, stateoftheart exact algorithms combine a Branch and Bound ... constraint handlers cumulativemm and gprecedencemm for the optimization framework SCIP. With the latter...

gprecedencemm
 Referenced in 3 articles
[sw15629]
 constrained project scheduling problem, stateoftheart exact algorithms combine a Branch and Bound ... constraint handlers cumulativemm and gprecedencemm for the optimization framework SCIP. With the latter...

cGOP
 Referenced in 1 article
[sw20093]
 rigorously solving nonconvex optimization problems to global optimality. The package implements the GOP algorithm (Floudas ... Visweswaran, 1993), which is applicable to general constrained biconvex problems, using ... these problems using decomposition and branchandbound techniques. It also incorporates several improvements made ... Floudas, 1995). The algorithms use local optimization solvers (currently MINOS (Murtagh and Saunders...