
CPLEX
 Referenced in 2583 articles
[sw04082]
 linearly or quadratically constrained optimization problems where the objective to be optimized can be expressed ... linear function or a convex quadratic function. The variables in the model may be declared...

CVX
 Referenced in 720 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...

KNITRO
 Referenced in 179 articles
[sw00490]
 solving linear, quadratic, and nonlinear smooth optimization problems, both convex and nonconvex. It is also...

YALMIP
 Referenced in 937 articles
[sw04595]
 MATLAB toolbox for rapid prototyping of optimization problems. The package initially aimed at the control ... linear programming, quadratic programming, second order cone programming, semidefinite programming, nonconvex semidefinite programming, mixed...

LINGO
 Referenced in 300 articles
[sw04942]
 Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models faster ... expressing optimization models, a full featured environment for building and editing problems...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 methods one solves convex optimization problems, typically quadratic programs. Least Squares Support Vector Machines...

TAO
 Referenced in 44 articles
[sw10597]
 algorithms for the solution of large optimization problems on highperformance parallel architectures. Our case ... convex quadratic problems. Our implementation of the GPCG algorithm within the Toolkit for Advanced Optimization...

GloMIQO
 Referenced in 71 articles
[sw06266]
 Major applications of mixedinteger quadraticallyconstrained quadratic programs (MIQCQP) include quality blending in process ... optimization in finance. Specific instantiations of MIQCQP in process networks optimization problems include: pooling problems ... production. Computational geometry problems formulated as MIQCQP include: point packing, cutting convex shapes from rectangles...

StdPoolingPolyAlgos
 Referenced in 5 articles
[sw34823]
 hard subclass of nonconvex quadraticallyconstrained optimization problems that commonly arises in process systems...

CVXGEN
 Referenced in 39 articles
[sw07151]
 high level description of a convex optimization problem family, and automatically generates custom C code ... problem family. The current implementation targets problem families that can be transformed, using disciplined convex ... programming techniques, to convex quadratic programs of modest size. CVXGEN generates simple, flat, libraryfree...

Karnak.sGbem
 Referenced in 3 articles
[sw10250]
 canonical form as a convex optimization problem with quadratic constraints, in terms of discrete variables...

Algorithm 829
 Referenced in 39 articles
[sw04467]
 functions for multiextremal multidimensional boxconstrained global optimization is presented. Each test class consists ... functions are generated by defining a convex quadratic function systematically distorted by polynomials in order ... user defines the following parameters: (i) problem dimension, (ii) number of local minima, (iii) value...

LPbook
 Referenced in 49 articles
[sw31782]
 analysis, network flows, integer programming, quadratic programming, and convex optimization. The book is carefully written ... book underscores the purpose of optimization: to solve practical problems on a computer. Accordingly...

CONLIN
 Referenced in 46 articles
[sw14151]
 simple algebraic structure. The explicit subproblems are convex and separable, and they can be solved ... this paper, a special purpose dual optimizer is proposed to solve the explicit subproblem generated ... primary dual problem is itself replaced with a sequence of approximate quadratic subproblems with...

QHOPDM
 Referenced in 5 articles
[sw04335]
 primaldual method for large scale convex quadratic programming In 1992 we prepared HOPDM ... optimization. We broadened this software subsequently to use it for a quadratic programming problem generated ... convex quadratic objectives.par Now we are presenting QHOPDM, a library for convex quadratic optimization with...

ECOS
 Referenced in 40 articles
[sw12123]
 linear (LPs), quadratic (QPs), and quadraticallyconstrained quadratic programs (QCQPs). ECOS also supports a small ... sparse) problem data. As a consequence, it can be used to solve optimization problems ... efficient standard algorithm for solving convex optimization problems. It uses regularization and iterative refinement techniques...

WORHP
 Referenced in 15 articles
[sw10824]
 scale, sparse, nonlinear optimization problems with millions of variables and constraints. Convexity is not required ... core foundations as a sparse sequential quadratic programming (SQP) / interiorpoint (IP) method; it includes ... development philosophy. Two largescale optimization problems from space applications that demonstrate the robustness...

ZQPCVX
 Referenced in 34 articles
[sw08459]
 unstable, but numerical testing on some difficult problems indicates that both implementations give excellent accuracy ... subroutine [”ZQPCVX: a Fortran subroutine for convex, quadratic programming”, Report DAMTP/1983/NA17, Dept. Appl. Math. Theor ... subroutine is compared with two widely available quadratic programming subroutines that employ feasible point methods ... Fortran package for quadratic programming”, Report SOL 837, Systems Optim. Lab., Rept. Oper...

qpDUNES
 Referenced in 13 articles
[sw13238]
 quadratic programming solver targeted at blockbanded convex QPs that arise in optimal control, dynamic ... optimization, and estimation. The acronym DUNES stands for dual Newton strategy, the novel solution methodology ... data storage formats to better exploit the problem intrinsic structures. Problems...

OPECgen
 Referenced in 20 articles
[sw13463]
 MPEC, that is an optimization problem whose objective function is quadratic, firstlevel constraints ... first and second level, illconditioning, convexity of the objective, monotonicity and symmetry...