• CONOPT

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

  • Referenced in 441 articles [sw05095]
  • large-scale optimization system, for the solution of sparse linear and nonlinear programs. The objective...
  • SNOPT

  • Referenced in 507 articles [sw02300]
  • algorithm for large-scale 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 large-scale 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 object-oriented 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 ... large-scale problems. Moreover, both fundamental building blocks, namely mixed integer linear programming and nonlinear...
  • IP-PCG

  • Referenced in 3 articles [sw04830]
  • software designed to solve large-scale Nonlinear Programming Problems (NLP). It employs a Newton inexact...
  • SPENBAR

  • Referenced in 1 article [sw08452]
  • Modified penalty barrier method for large-scale nonlinear programming problems: SPENBAR implements a modified penalty ... algorithm for solving large-scale nonlinear programming problems. It uses only one-dimensional arrays...
  • WORHP

  • Referenced in 15 articles [sw10824]
  • WORHP) is a solver for large-scale, sparse, nonlinear optimization problems with millions of variables ... core foundations as a sparse sequential quadratic programming (SQP) / interior-point (IP) method; it includes ... level of interaction between user and nonlinear programming (NLP) solver. It was chosen ... driven design and development philosophy. Two large-scale 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 large-scale 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 large-scale nonlinearly constrained optimization. The source code...
  • OSiL

  • Referenced in 10 articles [sw07617]
  • large-scale optimization problems including linear programs, mixed-integer 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 large-scale 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 large-scale solvers for linear, quadratic, nonlinear, and mixed integer programming...
  • SLMQN

  • Referenced in 2 articles [sw00879]
  • Newton algorithm for solving large-scale bound constrained nonlinear programming problems. The algorithm is suitable...
  • Pyomo

  • Referenced in 42 articles [sw04910]
  • software package for formulating and solving large-scale 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 large-scale 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 large-scale 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 large-scale constrained problems are difficult and challenging tasks, regardless...
  • NLP.py

  • Referenced in 1 article [sw24347]
  • NLP.py: An Object-Oriented Environment for Large-Scale Optimization. NLP.py is a Python package ... toolbox for solving linear and nonlinear programming problems that is both easy ... modifying innovative optimization algorithms for large-scale constrained problems are difficult and challenging tasks, regardless...
  • MUSCOP

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