
CONOPT
 Referenced in 162 articles
[sw02791]
 gradient (GRG) algorithm for solving largescale nonlinear programs involving sparse nonlinear constraints. The paper ... competitive with other codes for largescale nonlinear programming from both an efficiency...

MINOS
 Referenced in 441 articles
[sw05095]
 largescale optimization system, for the solution of sparse linear and nonlinear programs. The objective...

SNOPT
 Referenced in 507 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...

PETSc
 Referenced in 1148 articles
[sw04012]
 building blocks for the implementation of largescale application codes on parallel (and serial) computers ... includes an expanding suite of parallel linear, nonlinear equation solvers and time integrators that ... problem. By using techniques of objectoriented programming, PETSc provides enormous ﬂexibility for users. PETSc...

Bonmin
 Referenced in 185 articles
[sw04766]
 fact that mixed integer nonlinear programming is an important and difficult area for which there ... largescale problems. Moreover, both fundamental building blocks, namely mixed integer linear programming and nonlinear...

IPPCG
 Referenced in 3 articles
[sw04830]
 software designed to solve largescale Nonlinear Programming Problems (NLP). It employs a Newton inexact...

SPENBAR
 Referenced in 1 article
[sw08452]
 Modified penalty barrier method for largescale nonlinear programming problems: SPENBAR implements a modified penalty ... algorithm for solving largescale nonlinear programming problems. It uses only onedimensional arrays...

WORHP
 Referenced in 15 articles
[sw10824]
 WORHP) is a solver for largescale, sparse, nonlinear optimization problems with millions of variables ... core foundations as a sparse sequential quadratic programming (SQP) / interiorpoint (IP) method; it includes ... level of interaction between user and nonlinear programming (NLP) solver. It was chosen ... driven design and development philosophy. Two largescale optimization problems from space applications that demonstrate...

pySLEQP
 Referenced in 1 article
[sw17724]
 Programming (SLEQP) method for solving the nonlinear programming problem. Similar to SQP active set methods ... every iteration, a trust region constrained linear programming problem is solved to estimate the active ... Subsequently, a trust region equality constrained quadratic programming problem is solved to obtain a step ... properties for future research in largescale nonlinear programming. Implementations of SLEQP methods accessible...

SQOPT
 Referenced in 18 articles
[sw07860]
 SQOPT may also be used for linear programming and for finding a feasible point ... active constraints and bounds is nearly as large as the number of variables). However, unlike ... freedom. SQOPT is primarily intended for large linear and quadratic problems with sparse constraint matrices ... part of the SNOPT package for largescale nonlinearly constrained optimization. The source code...

OSiL
 Referenced in 10 articles
[sw07617]
 largescale optimization problems including linear programs, mixedinteger programs, quadratic programs, and very general ... nonlinear programs. OSiL has two key features that make it much superior to current standard...

SnadiOpt
 Referenced in 4 articles
[sw14988]
 nonlinear constraints. It is suitable for largescale linear and quadratic programming and for linearly ... constrained optimization, as well as for general nonlinear programs. The method used by Snopt requires...

APMonitor
 Referenced in 5 articles
[sw19694]
 coupled with largescale solvers for linear, quadratic, nonlinear, and mixed integer programming...

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

Pyomo
 Referenced in 42 articles
[sw04910]
 software package for formulating and solving largescale optimization problems. The software extends the modeling ... language. Python is a powerful and dynamic programming language that has a very clear, readable ... tutorial on simple linear and integer programming models. Information needed to install and get started ... final chapters cover advanced topics such as nonlinear models, stochastic models, and scripting examples...

HQP
 Referenced in 5 articles
[sw07288]
 solver for nonlinearly constrained largescale optimization. It is intended for problems with sufficient regular ... widely used model formats. HQP (Huge Quadratic Programming) consists of mainly two parts: the actual...

OPALQP
 Referenced in 8 articles
[sw04847]
 implementing a sequential quadratic programming method for nonlinearly constrained optimization. It was originally designed ... each iteration  the solution of a quadratic program  would involve dense, rather than sparse, matrices ... been designed from the outset for largescale nonlinear optimization...

nlpy
 Referenced in 3 articles
[sw05159]
 toolbox for solving linear and nonlinear programming problems that is both easy ... modifying innovative optimization algorithms for largescale constrained problems are difficult and challenging tasks, regardless...

NLP.py
 Referenced in 1 article
[sw24347]
 NLP.py: An ObjectOriented Environment for LargeScale Optimization. NLP.py is a Python package ... toolbox for solving linear and nonlinear programming problems that is both easy ... modifying innovative optimization algorithms for largescale constrained problems are difficult and challenging tasks, regardless...

MUSCOP
 Referenced in 6 articles
[sw06143]
 PDEs). The proposed method features asymptotically optimal scaleup of the numerical effort with ... Newton method to an inexact sequential quadratic programming (SQP) method for inequality constrained problems ... solution of the occurring largescale quadratic programming problems (QPs) we develop a structure exploiting ... NewtonPicard structure to reduce the largescale QP to an equivalent QP whose size...