
CPLEX
 Referenced in 2307 articles
[sw04082]
 constrained optimization problems where the objective to be optimized can be expressed as a linear ... declared as continuous or further constrained to take only integer values...

MPT
 Referenced in 186 articles
[sw04732]
 design, analysis and deployment of optimal controllers for constrained linear, nonlinear and hybrid systems. Efficiency ... field of computational geometry and multiparametric optimization. The toolbox offers a broad spectrum...

Genocop
 Referenced in 1023 articles
[sw04707]
 genetic algorithmbased program for constrained and unconstrained optimization, written in C. The Genocop system ... input parameters) of a function; additional linear constraints (equations and inequalities) can be specified...

Gurobi
 Referenced in 347 articles
[sw04105]
 Mathematical Programming Solver. The Gurobi Optimizer is a stateoftheart solver for mathematical ... following solvers: linear programming solver (LP), quadratic programming solver (QP), quadratically constrained programming solver ... linear programming solver (MILP), mixedinteger quadratic programming solver (MIQP), and mixedinteger quadratically constrained ... solver (MIQCP). The solvers in the Gurobi Optimizer were designed from the ground...

LINGO
 Referenced in 264 articles
[sw04942]
 Linear, Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models...

SNOPT
 Referenced in 459 articles
[sw02300]
 have proved highly effective for solving constrained optimization problems with smooth nonlinear functions ... consider problems with general inequality constraints (linear and nonlinear). We assume that first derivatives...

CVX
 Referenced in 522 articles
[sw04594]
 number of standard problem types, including linear and quadratic programs (LPs/QPs), secondorder cone programs ... also solve much more complex convex optimization problems, including many involving nondifferentiable functions, such ... conveniently formulate and solve constrained norm minimization, entropy maximization, determinant maximization, and many other convex...

DOT
 Referenced in 58 articles
[sw14223]
 linear structural finite element simulation. Very little formal knowledge of optimization techniques is needed ... handle constrained, unconstrained, linear and nonlinear optimization problems and can automatically calculate finite difference...

CONMIN
 Referenced in 50 articles
[sw04741]
 form, for the solution of linear or nonlinear constrained optimization problems. The basic optimization algorithm...

PSwarm
 Referenced in 53 articles
[sw00742]
 hybrid solver for linearly constrained global derivativefree optimization. PSwarm was developed originally ... algorithm is highly competitive with other global optimization methods based only on function values. PSwarm ... extended in this paper to handle general linear constraints. The poll step now incorporates positive...

TOLMIN
 Referenced in 16 articles
[sw07787]
 TOLMIN: a Fortran package for linearly constrained optimization calculations...

CONDOR
 Referenced in 21 articles
[sw02490]
 Powell’s UOBYQA algorithm (Unconstrained Optimization BY Quadratical Approximation) [Math. Program ... paper CONDOR (COnstrained, Nonlinear, Direct, parallel Optimization using trust Region method for highcomputing...

LCOBYQA
 Referenced in 6 articles
[sw10964]
 derivativefree algorithm for linearly constrained optimization problems. Based on the NEWUOA algorithm ... minimizer x * ∈ℝ n of a nonlinear function, whose derivatives are unavailable, subject...

SnadiOpt
 Referenced in 4 articles
[sw14988]
 solving optimization problems with many variables and constraints. It minimizes a linear or nonlinear function ... linear and quadratic programming and for linearly constrained optimization, as well as for general nonlinear...

levmar
 Referenced in 43 articles
[sw04809]
 ANSI C implementations of the LevenbergMarquardt optimization algorithm, usable also from C++, Matlab, Perl ... explains their use. Both unconstrained and constrained (under linear equations, inequality and box constraints) Levenberg...

SparseFIS
 Referenced in 10 articles
[sw13736]
 measure by applying a sparsityconstrained steepest descentoptimization procedure. Depending on the sparsity threshold ... phase estimates the linear consequent parameters by a regularized sparsityconstrainedoptimization procedure for each ... constraints are applied in order to force linear parameters to be 0, triggering a feature...

constrOptim
 Referenced in 2 articles
[sw12069]
 constrOptim: Linearly Constrained Optimization. Minimise a function subject to linear inequality constraints using an adaptive...

SQPlab
 Referenced in 113 articles
[sw05161]
 algorithm for solving constrained optimization problems. The functions defining the problem can be nonlinear ... will be paid to problems with an optimal control structure. SQP stands for Sequential Quadratic ... Newton approach applied to the optimality conditions of the optimization problem. Each iteration ... simpler optimization problem, which has a quadratic objective and linear constraints. This QP is still...

LINCOA
 Referenced in 2 articles
[sw13473]
 LINCOA (LINearly Constrained Optimization Algorithm), an algorithm that seeks the least value of a nonlinear ... function subject to linear inequality constraints, without using derivatives of the objective function...

HASP
 Referenced in 2 articles
[sw23782]
 would be a valuable preprocessor for linearly constrained optimization problems. In a companion paper ... experience in testing HASP on the NETLIB linearprogramming problems. We found that HASP substantially...