• WORHP

  • Referenced in 20 articles [sw10824]
  • WORHP) is a solver for large-scale, sparse, nonlinear optimization problems with millions of variables ... driven design and development philosophy. Two large-scale optimization problems from space applications that demonstrate...
  • CFSQP

  • Referenced in 61 articles [sw04658]
  • Code for Solving (Large Scale) Constrained Nonlinear (Minimax) Optimization Problems, Generating Iterates Satisfying All Inequality...
  • MapReduce

  • Referenced in 267 articles [sw00546]
  • parallel programming model initially developed for large-scale web content processing. Data analysis meets ... calculation over extremely large datasets. The arrival of MapReduce provides a chance to utilize commodity ... parallel data analysis applications. The translation and optimization from relational algebra operators to MapReduce programs...
  • LKH

  • Referenced in 151 articles [sw04735]
  • optimality). Furthermore, the algorithm has improved the best known solutions for a series of large ... scale instances with unknown optima, among these a 1,904,711-city instance (World...
  • SPGL1

  • Referenced in 199 articles [sw08365]
  • SPGL1: A solver for large-scale sparse reconstruction: Probing the Pareto frontier for basis pursuit ... parameter determines a curve that traces the optimal trade-off between the least-squares ... gives an explicit relationship to two other optimization problems closely related to BPDN. We describe ... suitable for problems that are large scale and for those that are in the complex...
  • SNAP

  • Referenced in 179 articles [sw04184]
  • performance system for analysis and manipulation of large networks. Graphs consists of nodes and directed/undirected/multiple ... optimized for maximum performance and compact graph representation. It easily scales to massive networks with ... billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random...
  • TRICE

  • Referenced in 46 articles [sw05197]
  • programs arise, e.g., from the discretization of optimal control problems. The algorithms treat states ... well suited for large scale problems arising from optimal control problems governed by partial differential...
  • SLEP

  • Referenced in 42 articles [sw13487]
  • algorithms can handle large-scale sparse data. 2) Optimal Convergence Rate. The convergence rate...
  • PENSDP

  • Referenced in 24 articles [sw05119]
  • second-order methods for large-scale semidefinite optimization are the storage and factorization ... viable alternative for problems with a large number of variables and modest size...
  • CG+

  • Referenced in 15 articles [sw05285]
  • Software for Large-scale Unconstrained Optimization CG+ is a Conjugate Gradient code for solving large...
  • DASOPT

  • Referenced in 14 articles [sw09260]
  • DASOPT, a software system for the optimal control of processes described by time-dependent partial ... equations (DAEs) with a package for large scale optimization based on sequential quadratic programming ... intended for the computation of the optimal control of time-dependent nonlinear systems of PDEs ... derivatives, the PDEs are converted into a large system of ordinary differential equations or DAEs...
  • PLCP

  • Referenced in 238 articles [sw04795]
  • based on Newton steps on the perturbed optimality system ... either SCILAB or matlab for solving large scale linear programming problems. It can be freely...
  • DIP

  • Referenced in 21 articles [sw09870]
  • algorithms for use in solving large-scale discrete optimization problems. The framework provides a simple...
  • HSL

  • Referenced in 284 articles [sw00418]
  • state-of-the-art packages for large-scale scientific computation written and developed ... processors. If you are interested in our optimization or nonlinear equation solving packages, our work...
  • APOGEE

  • Referenced in 36 articles [sw08451]
  • recent work globally optimized two classes of large-scale pooling problems: a generalized pooling problem ... regulations into constraints. The pooling problems were optimized using a piecewise linear scheme that activates...
  • Theano

  • Referenced in 98 articles [sw05894]
  • efficient symbolic differentiation, speed and stability optimizations, dynamic C code generation, and extensive unit-testing ... self-verification. Theano has been powering large-scale computationally intensive scientific investigations since...
  • OSiL

  • Referenced in 11 articles [sw07617]
  • computer language for representing instances of large-scale optimization problems including linear programs, mixed-integer...
  • Sparse-BSOS

  • Referenced in 14 articles [sw31772]
  • bounded degree SOS hierarchy for large scale polynomial optimization with sparsity. We provide a sparse ... polynomial optimization problems. It permits to treat large scale problems which satisfy a structured sparsity...
  • SVMTorch

  • Referenced in 67 articles [sw12121]
  • SVMTorch: Support vector machines for large-scale regression problems. Support Vector Machines (SVMs) for regression ... problems are trained by solving a quadratic optimization problem which needs on the order ... Light proposed by T. Joachims [“Making large-scale support vector machine learning practical...
  • MSS

  • Referenced in 6 articles [sw08530]
  • BFGS Trust-Region Subproblems for Large-Scale Optimization. A MATLAB implementation of the Moré-Sorensen ... into an L-BFGS setting for large-scale optimization. The MSS method makes ... proposed stable fast direct method for solving large shifted BFGS systems of equations ... matrix-free iterative method for large-scale optimization. Numerical experiments on the CUTEr...