• SNOPT

  • Referenced in 495 articles [sw02300]
  • SNOPT: An SQP algorithm for large-scale constrained optimization. Sequential quadratic programming (SQP) methods have ... gradients are sparse. We discuss an SQP algorithm that uses a smooth augmented Lagrangian merit...
  • NPSOL

  • Referenced in 147 articles [sw07420]
  • problem size. NPSOL uses a sequential quadratic programming (SQP) algorithm, in which each search direction...
  • MISER3

  • Referenced in 81 articles [sw04190]
  • which is solved using a sequential quadratic programming algorithm...
  • PNEW

  • Referenced in 66 articles [sw06157]
  • Algorithm 811: NDA: algorithms for nondifferentiable optimization We present four basic Fortran subroutines for nondifferentiable ... based on a sequential quadratic programming variable metric algorithm. Subroutines PBUN and PNEW, intended...
  • TRICE

  • Referenced in 46 articles [sw05197]
  • region interior-point SQP algorithms for a class of nonlinear programming problems A family ... trust-region interior-point sequential quadratic programming (SQP) algorithms for the solution of a class...
  • CFSQP

  • Referenced in 60 articles [sw04658]
  • infinite programming (SIP) problems, CFSQP gives the user the option to use an algorithm that ... implementation of two algorithms based on Sequential Quadratic Programming (SQP), modified so as to generate...
  • SQPlab

  • Referenced in 143 articles [sw05161]
  • modest Matlab implementation of the SQP algorithm for solving constrained optimization problems. The functions defining ... optimal control structure. SQP stands for Sequential Quadratic Programming, a method invented ... optimization problem. Each iteration of the SQP algorithm requires finding a solution to a quadratic...
  • NDA

  • Referenced in 14 articles [sw04663]
  • Algorithm 811: NDA: algorithms for nondifferentiable optimization. We present four basic Fortran subroutines for nondifferentiable ... based on a sequential quadratic programming variable metric algorithm. Subroutines PBUN and PNEW, intended...
  • NLPQL

  • Referenced in 121 articles [sw08457]
  • FORTRAN implementation of a sequential quadratic programming method for solving nonlinearly constrained optimization problems with ... direction is the solution of a quadratic programming subproblem. This paper discusses the organization ... given of the performance of different algorithmic options of NLPQL on a collection of test...
  • WORHP

  • Referenced in 15 articles [sw10824]
  • necessary for the underlying theory and the algorithms based on it. WORHP has been designed ... core foundations as a sparse sequential quadratic programming (SQP) / interior-point (IP) method; it includes...
  • NLPQLP

  • Referenced in 38 articles [sw04073]
  • implementation of a sequential quadratic programming (SQP) method. Proceeding from a quadratic approximation ... linearization of constraints, a quadratic programming subproblem is formulated and solved by QL. Depending ... theoretical convergence properties of the SQP algorithm remain satisfied. The Hessian approximation is updated...
  • NSVMOOP

  • Referenced in 3 articles [sw14484]
  • single quadratic programming problem, on which a modified sequential minimization optimization algorithm is explored...
  • TRAC-IK

  • Referenced in 0 articles [sw26570]
  • algorithm, a set of sequential quadratic programming (SQP) IK algorithms that use a variety...
  • dsoa

  • Referenced in 6 articles [sw01448]
  • solution of dynamics system optimization problems. The algorithm is a direct method that ... solved via a sequential quadratic programming technique. The program dsoa is evaluated using 83 nontrivial ... Here we compare the performance of the algorithm using two different NLP problem solvers...
  • ODEm

  • Referenced in 1 article [sw31741]
  • program includes heuristic algorithms such as particle swarm optimization (PSO), simulating annealing (SA), genetic algorithm ... method (IP), active set method (AS), sequential quadratic programming (SQP), Nelder Mead (NM) and also...
  • NLPLSQ

  • Referenced in 1 article [sw33666]
  • Fortran implementation of an SQP-Gauss-Newton algorithm for least squares optimization. The Fortran subroutine ... NLPLSQ solves constrained least squares nonlin- ear programming problems, where the sum of squared nonlinear ... nonlinear program subsequently solved by the sequential quadratic programming (SQP) code NLPQLP ... shown that typical features of special purpose algorithms are retained, i.e., a combination...
  • NLPL1

  • Referenced in 1 article [sw25050]
  • NLPL1: A fortran implementation of an sqp algorithm for minimizing sums of absolute function values ... smooth nonlinear programming problem which is then solved by the sequential quadratic programming (SQP) code...
  • MISQPOA

  • Referenced in 1 article [sw07024]
  • modified sequential quadratic programming code MISQP stabilized by an outer approximation master program. Convergence ... programs. Outer approximation methods apply linear approximations at previous iterates to stabilize the algorithm...
  • FastLSA

  • Referenced in 3 articles [sw01958]
  • fast, linear-space, parallel and sequential algorithm for sequence alignment Sequence alignment is a fundamental ... full-matrix (FM), dynamic programming alignment algorithms such as Needleman-Wunsch and Smith-Waterman take ... prohibitive O(m×n) space. Hirschberg’s algorithm reduces the space requirements ... algorithms. The Fast Linear-Space Alignment (FastLSA) algorithm adapts to the amount of space available...
  • ADOL-C

  • Referenced in 221 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...