
CPLEX
 Referenced in 2625 articles
[sw04082]
 related problems. Specifically, it solves linearly or quadratically constrained optimization problems where the objective ... linear function or a convex quadratic function. The variables in the model may be declared...

GQTPAR
 Referenced in 317 articles
[sw07451]
 problem of minimizing a quadratic function subject to an ellipsoidal constraint and show that this...

Algorithm 829
 Referenced in 56 articles
[sw04467]
 generated by defining a convex quadratic function systematically distorted by polynomials in order to introduce ... minimizer to the vertex of the quadratic function. Then, all other necessary parameters are generated...

Optimization Toolbox
 Referenced in 288 articles
[sw10828]
 Solve linear, quadratic, integer, and nonlinear optimization problems. Optimization Toolbox™ provides functions for finding parameters ... linear programming, mixedinteger linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares...

HSLVF05
 Referenced in 67 articles
[sw36311]
 method. The approximate minimization of a quadratic function within an ellipsoidal trust region...

FPC_AS
 Referenced in 63 articles
[sw12218]
 norm ∥x∥ 1 to a linear function of x. The resulting subspace problem, which involves ... minimization of a smaller and smooth quadratic function, is solved in the second phase...

SNOPT
 Referenced in 524 articles
[sw02300]
 algorithm for largescale constrained optimization. Sequential quadratic programming (SQP) methods have proved highly effective ... solving constrained optimization problems with smooth nonlinear functions in the objective and constraints. Here...

CVX
 Referenced in 745 articles
[sw04594]
 standard problem types, including linear and quadratic programs (LPs/QPs), secondorder cone programs (SOCPs ... convex optimization problems, including many involving nondifferentiable functions, such as ℓ1 norms...

UOBYQA
 Referenced in 64 articles
[sw07576]
 UOBYQA: unconstrained optimization by quadratic approximation. A new algorithm for general unconstrained optimization calculations ... curvature of the objective function by forming quadratic models by interpolation. Obviously, no first derivatives ... vector of variables either by minimizing the quadratic model subject to a trust region bound ... error of the quadratic approximation of the function being minimized. It is pointed out that...

CGAL
 Referenced in 367 articles
[sw00118]
 functions, as well as a matrix search framework and a solver for linear and quadratic...

YALMIP
 Referenced in 963 articles
[sw04595]
 used for linear programming, quadratic programming, second order cone programming, semidefinite programming, nonconvex semidefinite ... define your constraints and objective functions using intuitive and standard MATLAB code. Automatic categorization...

NLPQL
 Referenced in 130 articles
[sw08457]
 constraint functions. At each iteration, the search direction is the solution of a quadratic programming...

QPOPT
 Referenced in 17 articles
[sw07859]
 subroutines for minimizing a general quadratic function subject to linear constraints and simple upper ... linear equalities and inequalities. If the quadratic function is convex (i.e., the Hessian is positive ... will be a global minimizer. If the quadratic is nonconvex (i.e., the Hessian ... infeasibilities. The second phase minimizes the quadratic function within the feasible region, using a reduced...

Cabri 3D
 Referenced in 22 articles
[sw06697]
 geometric meaning of algebraic expression and quadratic function. We follow a simple goal...

quadprog
 Referenced in 39 articles
[sw05110]
 package quadprog: Functions to solve Quadratic Programming Problems. This package contains routines and documentation...

NLPQLP
 Referenced in 40 articles
[sw04073]
 method. Proceeding from a quadratic approximation of the Lagrangian function and a linearization of constraints ... quadratic programming subproblem is formulated and solved by QL. Depending on the number of nodes ... distributed system, objective and constraint functions can be evaluated simultaneously at predetermined test points along...

SQOPT
 Referenced in 18 articles
[sw07860]
 software package for minimizing a convex quadratic function subject to both equality and inequality constraints ... some of the variables appear in the quadratic term, or the number of active constraints ... constraint matrices. A quadratic term 1/2x’Hx in the objective function is represented...

LSTRS
 Referenced in 30 articles
[sw04729]
 implementation, the Hessian matrix of the quadratic objective function can be specified either explicitly...

NPSOL
 Referenced in 147 articles
[sw07420]
 subroutines to define the objective and constraints functions and (optionally) their first derivatives. NPSOL ... problem size. NPSOL uses a sequential quadratic programming (SQP) algorithm, in which each search direction ... especially effective if the objective or constraint functions are expensive to evaluate...

OPECgen
 Referenced in 20 articles
[sw13463]
 optimization problem whose objective function is quadratic, firstlevel constraints are linear, and secondlevel...