
TRICE
 Referenced in 46 articles
[sw05197]
 bound constraints by using an affine scaling method proposed, for a different class of problems ... they exploit trustregion techniques for equalityconstrained optimization. Thus, they allow the computation...

TRIOPT
 Referenced in 6 articles
[sw02486]
 solving lowdimensional boundconstrained black box global optimization problems. The method starts by forming...

DSPCA
 Referenced in 35 articles
[sw04804]
 with an upper bound on the cardinality of its eigenvector. The problem arises ... symmetric matrix, where cardinality is constrained, and derive a semidefinite programming based relaxation...

Intsolver
 Referenced in 3 articles
[sw08787]
 used to bound ALL solutions of nonlinear optimization problem, equality constrained or not as well ... equation. Our functions can deal with these problems using an implementation of the interval Newton...

SNOBFIT
 Referenced in 20 articles
[sw05289]
 solution of noisy optimization problems with continuous variables varying within bound, possibly subject to additional ... SNOBFIT, one needs the MINQ boundconstrained quadratic programming package...

QPBOX
 Referenced in 6 articles
[sw04799]
 Bound constrained quadratic programming via piecewise quadratic functions We consider the strictly convex quadratic programming ... problem with bounded variables. A dual problem is derived using Lagrange duality. The dual ... problem is the minimization of an unconstrained, piecewise quadratic function. It involves a lower bound ... testing and comparison with other methods for constrained QP are given...

SLMQN
 Referenced in 2 articles
[sw00879]
 algorithm for solving largescale bound constrained nonlinear programming problems. The algorithm is suitable...

MSO
 Referenced in 4 articles
[sw35041]
 algorithms for solving boundconstrained blackbox global optimization problems. These algorithms partition the objective...

QPOPT
 Referenced in 17 articles
[sw07859]
 User guide for QPOPT: Fortran package for constrained linear leastsquares and convex quadratic programming ... linear constraints and simple upper and lower bounds. QPOPT may also be used for linear ... bounds are active at the solution. QPOPT is not intended for large sparse problems...

GLOPT
 Referenced in 19 articles
[sw00359]
 uses a branch and bound technique to split the problem recursively into subproblems that ... 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...

BVLS
 Referenced in 5 articles
[sw04345]
 solves linear leastsquares problems with upper and lower bounds on the variables is described ... also to find bounds for linear functionals of a model constrained to satisfy, in approximate ... lower bounds. It is shown how to use BVLS to solve that problem when...

MATISSE
 Referenced in 25 articles
[sw06311]
 reachable set computation of large dimensional, constrained linear systems. Matisse is based on the framework ... approximate bisimulation. This precision notably provides a bound of the distance between the trajectories ... particularly useful for the safety verification problem which consists in checking whether the intersection...

SQOPT
 Referenced in 18 articles
[sw07860]
 primarily intended for large linear and quadratic problems with sparse constraint matrices. A quadratic term ... 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...

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

SHGO
 Referenced in 1 article
[sw26954]
 with bounds placed on the variables. Numerical experiments on linearly constrained test problems show that ... large selection of blackbox problems with bounds placed on the variables from the SciPy...

cumulativemm
 Referenced in 3 articles
[sw15628]
 constrained project scheduling problem, stateoftheart exact algorithms combine a Branch and Bound...

gprecedencemm
 Referenced in 3 articles
[sw15629]
 constrained project scheduling problem, stateoftheart exact algorithms combine a Branch and Bound...

PyBOBYQA
 Referenced in 1 article
[sw32721]
 BOBYQA: DerivativeFree Optimizer for BoundConstrained Minimization. PyBOBYQA is a flexible package ... solutions to nonlinear, nonconvex minimization problems (with optional bound constraints), without requiring any derivatives...

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 ... linear and quadratic programming and for linearly constrained optimization, as well as for general nonlinear...

libcgrpp
 Referenced in 2 articles
[sw07205]
 adaptive search procedure (CGRASP) for bound constrained global optimization. CGRASP is an extension ... been used to solve unstable and nondifferentiable problems, as well as hard global optimization problems...