
CPLEX
 Referenced in 2307 articles
[sw04082]
 solve linear programming (LP) and related problems. Specifically, it solves linearly or quadratically constrained optimization ... expressed as a linear function or a convex quadratic function. The variables in the model...

YALMIP
 Referenced in 749 articles
[sw04595]
 linear programming, quadratic programming, second order cone programming, semidefinite programming, nonconvex semidefinite programming, mixed...

CVX
 Referenced in 522 articles
[sw04594]
 linear and quadratic programs (LPs/QPs), secondorder cone programs (SOCPs), and semidefinite programs (SDPs ... also solve much more complex convex optimization problems, including many involving nondifferentiable functions, such...

ZQPCVX
 Referenced in 31 articles
[sw08459]
 quadratic programming algorithm of Goldfarb and Idnani. Two implementations of the algorithm of D. Goldfarb ... convex quadratic programming are considered. A pathological example shows that the faster ... subroutine [”ZQPCVX: a Fortran subroutine for convex, quadratic programming”, Report DAMTP/1983/NA17, Dept. Appl. Math. Theor ... very suitable in practice for convex quadratic programming calculations...

LOQO
 Referenced in 197 articles
[sw02212]
 linear and quadratic programming with only brief mention of the extensions to convex and general ... included for a variety of linear and quadratic programming problems...

CVXGEN
 Referenced in 31 articles
[sw07151]
 using disciplined convex programming techniques, to convex quadratic programs of modest size. CVXGEN generates simple...

HOPDM
 Referenced in 70 articles
[sw04342]
 solving large scale linear, convex quadratic and convex nonlinear programming problems. The code...

OOQP
 Referenced in 31 articles
[sw04743]
 dual interiorpoint method, for solving convex quadratic programming problems (QPs). It contains code that...

QL
 Referenced in 14 articles
[sw12450]
 Fortran Code for Convex Quadratic Programming. The Fortran subroutine QL solves strictly convex quadratic programming...

QSDP
 Referenced in 39 articles
[sw04726]
 designed to solve a convex quadratic semide¯nite programming(QSDP) problem, possibly with...

LSSOL
 Referenced in 17 articles
[sw07785]
 linearly constrained leastsquares and convex quadratic programming. It uses a twophase active ... main features are its exploitation of convexity and treatment of singularity. LSSOL may also...

QPOPT
 Referenced in 15 articles
[sw07859]
 constrained linear leastsquares and convex quadratic programming. QPOPT is a set of Fortran ... QPOPT may also be used for linear programming and for finding a feasible point ... equalities and inequalities. If the quadratic function is convex (i.e., the Hessian is positive definite...

QPSchur
 Referenced in 15 articles
[sw06918]
 method for largescale and structured convex quadratic programming. We describe an activeset, dual...

KNITRO
 Referenced in 146 articles
[sw00490]
 solving linear, quadratic, and nonlinear smooth optimization problems, both convex and nonconvex. It is also ... constraints (MPCCs or MPECs), and mixedinteger programming (MIPs), particular convex mixed integer, nonlinear problems...

NewtonKKTqp
 Referenced in 9 articles
[sw04820]
 local) solution of (possibly) indefinite quadratic programming problems. They are of the NewtonKKT variety ... case of primaldual algorithms for linear programming) search directions for the “primal” variables ... adapted from previously proposed algorithms for convex quadratic programming and general nonlinear programming. First, inspired...

LSSVMlab
 Referenced in 23 articles
[sw07367]
 methods one solves convex optimization problems, typically quadratic programs. Least Squares Support Vector Machines...

CGAL
 Referenced in 309 articles
[sw00118]
 approximation of ridges and umbilics), alpha shapes, convex hull algorithms ... solver for linear and quadratic programs. It further offers interfaces to third party software such...

QSDPNAL
 Referenced in 10 articles
[sw18799]
 Proximal Augmented Lagrangian Method for Convex Quadratic Semidefinite Programming Problems...

QSPLINE
 Referenced in 4 articles
[sw07307]
 QSPLINE method for solving convex quadratic programming problems with simple bound constraints A convex quadratic ... unconstrained minimization problem with a convex quadratic spline (i.e., a differentiable convex piecewise quadratic function ... paradigm for solving the original quadratic programming problem, in which various unconstrained minimization algorithms ... find a stationary point of the convex quadratic spline. In this paper, we give...

QPBOX
 Referenced in 6 articles
[sw04799]
 quadratic functions We consider the strictly convex quadratic programming problem with bounded variables. A dual...