• SNOPT

  • Referenced in 495 articles [sw02300]
  • highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...
  • NLPQL

  • Referenced in 121 articles [sw08457]
  • sequential quadratic programming method for solving nonlinearly constrained optimization problems with differentiable objective and constraint...
  • L-BFGS

  • Referenced in 702 articles [sw03229]
  • constrained optimization. L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization...
  • MPT

  • Referenced in 209 articles [sw04732]
  • analysis and deployment of optimal controllers for constrained linear, nonlinear and hybrid systems. Efficiency ... field of computational geometry and multi-parametric optimization. The toolbox offers a broad spectrum...
  • LINGO

  • Referenced in 289 articles [sw04942]
  • Linear, Nonlinear (convex & nonconvex/Global), Quadratic, Quadratically Constrained, Second Order Cone, Stochastic, and Integer optimization models...
  • CONMIN

  • Referenced in 50 articles [sw04741]
  • solution of linear or nonlinear constrained optimization problems. The basic optimization algorithm is the Method...
  • LINDOGlobal

  • Referenced in 46 articles [sw06196]
  • methods to break an nonlinearly constrained optimization problem model down into a list of subproblems...
  • NLopt

  • Referenced in 83 articles [sw11789]
  • nonlinear optimization, providing a common interface for a number of different free optimization routines available ... changing one parameter. Support for large-scale optimization (some algorithms scalable to millions of parameters ... thousands of constraints). Both global and local optimization algorithms. Algorithms using function values only (derivative ... Algorithms for unconstrained optimization, bound-constrained optimization, and general nonlinear inequality/equality constraints. Free/open-source software under...
  • LBFGS-B

  • Referenced in 293 articles [sw05142]
  • constrained optimization L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization...
  • CFSQP

  • Referenced in 60 articles [sw04658]
  • Code for Solving (Large Scale) Constrained Nonlinear (Minimax) Optimization Problems, Generating Iterates Satisfying All Inequality...
  • SQPlab

  • Referenced in 145 articles [sw05161]
  • solving constrained optimization problems. The functions defining the problem can be nonlinear and nonconvex...
  • L-BFGS-B

  • Referenced in 154 articles [sw01234]
  • constrained optimization. L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization...
  • fmincon

  • Referenced in 17 articles [sw08758]
  • This is generally referred to as constrained nonlinear optimization or nonlinear programming...
  • NLPLIB

  • Referenced in 29 articles [sw03199]
  • paper presents the toolbox NLPLIB TB 1.0 (NonLinear Programming LIBrary); a set of Matlab solvers ... unconstrained and constrained optimization, quadratic programming, unconstrained and constrained nonlinear least squares, boxbounded global optimization...
  • KELLEY

  • Referenced in 592 articles [sw04829]
  • optimization methods for unconstrained and bound constrained minimization problems. The style of the book ... approximately 100 pages, is devoted to the optimization of smooth functions. The methods studied ... parameter identification problem and a discretized optimal control problem, both of which are used ... Gauss-Newton method for the solution of nonlinear least squares problems. Both, overdetermined and underdetermined...
  • SQOPT

  • Referenced in 17 articles [sw07860]
  • SNOPT package for large-scale nonlinearly constrained optimization. The source code is re-entrant...
  • CUTE

  • Referenced in 212 articles [sw14681]
  • CUTE: Constrained and unconstrained testing environment. The purpose of this article is to discuss ... testing small- and large-scale nonlinear optimization algorithms. Although many of these facilities were originally...
  • STRSCNE

  • Referenced in 54 articles [sw00922]
  • Matlab solver for constrained nonlinear equations is presented. The code, called STRSCNE, is based ... comparison with high quality codes for nonlinear optimization are shown...
  • pyOpt

  • Referenced in 10 articles [sw06921]
  • python-based object-oriented framework for nonlinear constrained optimization We present pyOpt, an object-oriented ... framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable...
  • SDPEN

  • Referenced in 14 articles [sw05152]
  • Sequential penalty derivative-free methods for nonlinear constrained optimization We consider the problem of minimizing ... function of several variables subject to smooth nonlinear constraints. We assume that the first order ... free context a sequential penalty approach for nonlinear programming. This approach consists in solving ... guarantee convergence to stationary points of the constrained problem. On the basis of the general...