• KAdaptabilitySolver

  • Referenced in 3 articles [sw33898]
  • KAdaptabilitySolver: k-adaptability-solver is a numerical optimization package, written in C++, for solving ... counterparts of two-stage mixed-integer robust optimization problems, based on our paper K-Adaptability ... Stage Mixed-Integer Robust Optimization, Mathematical Programming Computation...
  • ECOS

  • Referenced in 35 articles [sw12123]
  • convex optimization problems. It uses regularization and iterative refinement techniques to be numerically robust...
  • WORHP

  • Referenced in 15 articles [sw10824]
  • solver for large-scale, sparse, nonlinear optimization problems with millions of variables and constraints. Convexity ... solver on the basis of its high robustness and its application-driven design and development ... large-scale optimization problems from space applications that demonstrate the robustness of the solver complement...
  • SIMANN

  • Referenced in 11 articles [sw02517]
  • regarding the function to be optimized, it is quite robust with respect to non-quadratic ... surfaces. The degree of robustness can be adjusted by the user. In fact, simulated annealing ... used as a local optimizer for difficult functions...
  • MinRes

  • Referenced in 26 articles [sw09350]
  • robust FEM-BEM minres solver for distributed multiharmonic eddy current optimal control problems in unbounded ... apply a multiharmonic approach to the optimality system and discretize in space by means ... equations. We show that this solver is robust with respect to the space discretization...
  • OPT++

  • Referenced in 20 articles [sw05203]
  • development of new optimization algorithms. In particular, the focus is on robust and efficient algorithms...
  • RobRex

  • Referenced in 2 articles [sw06349]
  • package RobRex: Optimally robust influence curves for regression and scale , functions for the determination ... optimally robust influence curves in case of linear regression with unknown scale and standard normal...
  • CIXL2

  • Referenced in 19 articles [sw03302]
  • offspring. Our aim is the optimization of the balance between exploration and exploitation ... robustness of this crossover, we have used a set of functions to be optimized with...
  • LiPsMin

  • Referenced in 2 articles [sw26236]
  • smooth functions: a case study for robust optimization. This paper presents a minimization method ... caused by abs(), min(), and max(). The optimization method generates successively piecewise linearizations ... solver LiPsMin. Finally, minimax problems from robust optimization are considered. Numerical results and a comparison...
  • GrabCut

  • Referenced in 101 articles [sw15842]
  • Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which ... given quality of result. Thirdly, a robust algorithm for ”border matting” has been developed...
  • PSOt

  • Referenced in 11 articles [sw07371]
  • PSOt - a particle swarm optimization toolbox for use with Matlab. Robust Particle Swarm toolbox implementing ... developers, students, and classroom labs. It is robust enough that several papers have been developed ... easy to hack. Users of MATLAB’s Optimization Toolbox should feel right at home...
  • QPsimplex

  • Referenced in 2 articles [sw31751]
  • risk minimization, portfolio optimization, and robust optimization with ellipsoidal objective uncertainty; and they...
  • BLOPEX

  • Referenced in 25 articles [sw04024]
  • includes an eigensolver implemented with the Locally Optimal Block Preconditioned Conjugate Gradient Method (LOBPCG ... eigenproblems; a user-defined symmetric positive preconditioner; robustness with respect to random initial approximations, variable ... conditioning of the stiffness matrix; and apparently optimal convergence speed. BLOPEX supports parallel MPI-based...
  • Sat4j

  • Referenced in 72 articles [sw07283]
  • java library for solving boolean satisfaction and optimization problems. It can solve SAT, MAXSAT, Pseudo ... full featured, robust, user friendly, and to follow Java design guidelines and code conventions (checked...
  • LYAPACK

  • Referenced in 58 articles [sw12624]
  • Equations, Model Reduction Problems, and Linear–Quadratic Optimal Control Problems Users ’ Guide (Version 1.0). Control ... past decade, implementations of numerically robust algorithms for many types of dense problems in control ... large Riccati equations and linear-quadratic optimal control problems...
  • QLib

  • Referenced in 2 articles [sw13338]
  • parametrization of quantum objects and a robust optimization mechanism. New ways of re-examining well...
  • MrDIRECT

  • Referenced in 8 articles [sw12380]
  • MrDIRECT: a multilevel robust DIRECT algorithm for global optimization problems. Although DIRECT global optimization algorithm ... adapt the multigrid approach to a robust version of DIRECT algorithm, obtaining a “multilevel” robust...
  • ROptRegTS

  • Referenced in 1 article [sw06094]
  • ROptRegTS: Optimally robust estimation for regression-type models , Optimally robust estimation for regression-type models...
  • SparsePR

  • Referenced in 12 articles [sw25721]
  • representative numerical results can be found in: Robust Sparse Phase Retrieval Made Easy, Mark Iwen ... near-optimal number of measurements, and is both computationally efficient and robust to measurement noise...
  • minFunc

  • Referenced in 16 articles [sw12928]
  • than fminunc (or minimize.m). Further it can optimize problems with a much larger number ... uses a line search that is robust to several common function pathologies...