• SNOPT

  • Referenced in 456 articles [sw02300]
  • programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear...
  • nlmdl

  • Referenced in 107 articles [sw27811]
  • Ronald Gallant’s, ”Nonlinear Statistical Models”. The program computes least squares estimates for a univariate...
  • KNITRO

  • Referenced in 143 articles [sw00490]
  • MPECs), and mixed-integer programming (MIPs), particular convex mixed integer, nonlinear problems (MINLP). KNITRO...
  • ALGENCAN

  • Referenced in 51 articles [sw05160]
  • ALGENCAN. Fortran code for general nonlinear programming that does not use matrix manipulations...
  • NLPLIB

  • Referenced in 28 articles [sw03199]
  • TOMLAB NLPLIB toolbox for nonlinear programming The paper presents the toolbox NLPLIB TB 1.0 (NonLinear ... unconstrained and constrained optimization, quadratic programming, unconstrained and constrained nonlinear least squares ... boxbounded global optimization, global mixed- integer nonlinear programming, and exponential sum model fitting. NLPLIB ... types of algorithms are implemented for the nonlinear least squares problem to approxi mate sums...
  • MultiMin

  • Referenced in 46 articles [sw07546]
  • multi-start method using a suitable nonlinear programming subsolver...
  • DAKOTA

  • Referenced in 46 articles [sw05202]
  • surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented...
  • GPOPS

  • Referenced in 45 articles [sw05853]
  • control problem is transcribed to a nonlinear programming problem (NLP). The NLP is then solved...
  • DICOPT

  • Referenced in 30 articles [sw04938]
  • program for solving mixed-integer nonlinear programming (MINLP) problems that involve linear binary or integer ... variables and linear and nonlinear continuous variables. While the modeling and solution of these MINLP ... reliability as linear, integer or non-linear programming modeling, these problems have a rich area ... solved using any NLP (Nonlinear Programming) or MIP (Mixed-Integer Programming) solver that runs under...
  • MINLP

  • Referenced in 42 articles [sw04800]
  • about all aspects of Mixed Integer Nonlinear Programming (MINLP): http://www.gamsworld.org/minlp/solvers.htm...
  • BEAM189

  • Referenced in 40 articles [sw07447]
  • node BEAM189 element incorporating ANSYS nonlinear program. The pressure effect is equivalent included...
  • NLPQLP

  • Referenced in 36 articles [sw04073]
  • NLPQLP - Nonlinear Programming with Non-Monotone and Distributed Line Search. NLPQLP is a special implementation...
  • COMPleib

  • Referenced in 33 articles [sw06359]
  • benchmarking algorithms for linear semidefinite programs (SDPs), nonlinear semidefinite programs (NSDPs), minimizing spectral functions, Lyapunov/Riccati...
  • PETSc

  • Referenced in 918 articles [sw04012]
  • 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...
  • OPERA

  • Referenced in 28 articles [sw03200]
  • programming (DP). OPERA TB, like the nonlinear programming toolbox NLPLIB TB, is a part...
  • minlpBB

  • Referenced in 22 articles [sw06199]
  • dense mixed-integer linear, quadratic and nonlinear programming problems...
  • GLOBALLib

  • Referenced in 21 articles [sw04653]
  • GLOBALLib is a collection of Nonlinear Programming models. The purpose of the collection...
  • MaxSolver

  • Referenced in 20 articles [sw01990]
  • based on a nonlinear programming formulation of max-SAT. The second strategy is an effective...
  • PCOMP

  • Referenced in 19 articles [sw00688]
  • algorithms that require derivatives, e.g., in nonlinear programming, optimal control, parameter estimation, and differential equations...
  • GLOPT

  • Referenced in 19 articles [sw00359]
  • GLOPT is a Fortran 77 program for global minimization of a block-separable objective function ... generating feasible points of constrained nonlinear programs. These are implemented as the first stage...