• SNOPT

  • Referenced in 532 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...
  • GQTPAR

  • Referenced in 322 articles [sw07451]
  • propose an algorithm for the problem of minimizing a quadratic function subject to an ellipsoidal...
  • NPSOL

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

  • Referenced in 168 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 ... algorithm requires finding a solution to a quadratic program (QP). This is a simpler optimization ... quadratic objective is nonconvex. On the other hand, as a Newton method, the SQP algorithm...
  • LOQO

  • Referenced in 209 articles [sw02212]
  • LOQO: An interior point code for quadratic programming. This paper describes a software package, called ... mainly on the algorithm as it applies to linear and quadratic programming with only brief...
  • MISER3

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

  • Referenced in 293 articles [sw10828]
  • linear programming, mixed-integer linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares ... tradeoff analyses, and incorporate optimization methods into algorithms and applications...
  • UOBYQA

  • Referenced in 65 articles [sw07576]
  • UOBYQA: unconstrained optimization by quadratic approximation. A new algorithm for general unconstrained optimization calculations ... curvature of the objective function by forming quadratic models by interpolation. Obviously, no first derivatives ... algorithm generates a new vector of variables either by minimizing the quadratic model subject ... adjustment of trust region radii. par The algorithm works with the Lagrange functions...
  • Gurobi

  • Referenced in 610 articles [sw04105]
  • quadratic programming solver (MIQP), and mixed-integer quadratically constrained programming solver (MIQCP). The solvers ... most advanced implementations of the latest algorithms. To help set you up for success...
  • QSHEP3D

  • Referenced in 70 articles [sw00762]
  • Algorithm 661 QSHEP3D: Quadratic Shepard method for trivariate interpolation of scattered data...
  • NEWUOA

  • Referenced in 93 articles [sw00618]
  • vector of variables x . The algorithm is iterative, a quadratic model being required...
  • GRASP

  • Referenced in 130 articles [sw01094]
  • Algorithm 754: Fortran subroutines for approximate solution of dense quadratic assignment problems using GRASP (greedy...
  • TRICE

  • Referenced in 46 articles [sw05197]
  • Trust-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 ... many iterative techniques.par Global convergence of these algorithms to a first-order Karush-Kuhn-Tucker ... quadratic model and on the trial steps, the sequence of iterates generated by the algorithms...
  • PNEW

  • Referenced in 75 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...
  • ZQPCVX

  • Referenced in 34 articles [sw08459]
  • quadratic programming algorithm of Goldfarb and Idnani. Two implementations of the algorithm of D. Goldfarb ... convex quadratic programming are considered. A pathological example shows that the faster ... general quadratic programming”, Report AERE-R 6370, Harwell (1970)]. We conclude that the algorithm...
  • MPT

  • Referenced in 221 articles [sw04732]
  • toolbox offers a broad spectrum of algorithms compiled in a user friendly and accessible format ... starting from different performance objectives (linear, quadratic, minimum time) to the handling of systems with...
  • SCCP

  • Referenced in 79 articles [sw03318]
  • show that the algorithm is globally linearly and locally quadratically convergent under suitable assumptions...
  • FastSLAM

  • Referenced in 63 articles [sw13538]
  • environments. Kalman filter-based algorithms, for example, require time quadratic in the number of landmarks ... sensor observation. This paper presents FastSLAM, an algorithm that recursively estimates the full posterior distribution...
  • quadeig

  • Referenced in 32 articles [sw11532]
  • algorithm for the complete solution of quadratic eigenvalue problems. We develop a new algorithm ... right and left eigenvectors of dense quadratic matrix polynomials. It incorporates scaling of the problem ... trailing matrix coefficients. The algorithm is backward-stable for quadratics that are not too heavily ... show that our MATLAB implementation of the algorithm, quadeig, outperforms the MATLAB function polyeig...
  • CFSQP

  • Referenced in 61 articles [sw04658]
  • implementation of two algorithms based on Sequential Quadratic Programming (SQP), modified so as to generate...