• LANCELOT

  • Referenced in 245 articles [sw00500]
  • software package for solving large-scale nonlinear optimization problems. This book provides a coherent overview ... proposal for a standard input for problems and the LANCELOT optimization package. Although the book ... design and implementation of large-scale optimization algorithms...
  • Bonmin

  • Referenced in 114 articles [sw04766]
  • methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed...
  • ISOGAT

  • Referenced in 100 articles [sw00457]
  • MATLAB code for solving elliptic diffusion-type problems, including Poisson’s equation on single patch ... apparent. It is not intended for large-scale problems...
  • SVMTorch

  • Referenced in 56 articles [sw12121]
  • SVMTorch: Support vector machines for large-scale regression problems. Support Vector Machines (SVMs) for regression ... Light proposed by T. Joachims [“Making large-scale support vector machine learning practical ... efficiently solve large-scale regression problems (more than 20000 examples). Comparisons with Nodelib, another publicly ... available SVM algorithm for large-scale regression problems from G. Flake and S. Lawrence [Mach...
  • LIPSOL

  • Referenced in 69 articles [sw04712]
  • LIPSOL is designed to solve relatively large problems. It utilizes Matlab’s sparse-matrix data ... existing, efficient Fortran codes for solving large, sparse, symmetric positive definite linear systems. Specifically, LIPSOL ... adequate speed for solving moderately large-scale problems even in the presence of overhead induced...
  • L-BFGS

  • Referenced in 516 articles [sw03229]
  • BFGS-B Fortran subroutines for large-scale bound-constrained optimization. L-BFGS ... limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds...
  • SNOPT

  • Referenced in 365 articles [sw02300]
  • SNOPT: An SQP algorithm for large-scale constrained optimization. Sequential quadratic programming (SQP) methods have ... proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...
  • SVMlight

  • Referenced in 223 articles [sw04076]
  • objects as accurately as possible. Such ranking problems naturally occur in applications like search engines ... large-scale transductive SVMs. The algorithm proceeds by solving a sequence of optimization problems lower...
  • tn

  • Referenced in 99 articles [sw05140]
  • method) in the solution of large-scale unconstrained minimization problems. It is shown...
  • Ipopt

  • Referenced in 313 articles [sw04808]
  • large-scale ​nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems...
  • SimpleMKL

  • Referenced in 45 articles [sw12290]
  • since it makes MKL tractable for large-scale problems, by iteratively using existing support vector...
  • CirCut

  • Referenced in 39 articles [sw04782]
  • approximation can be excessively high for large-scale problems due to the need for solving...
  • Mercury

  • Referenced in 53 articles [sw08333]
  • programming systems. Mercury addresses the problems of large-scale program development, allowing modularity, separate compilation...
  • SPGL1

  • Referenced in 72 articles [sw08365]
  • SPGL1: A solver for large-scale sparse reconstruction: Probing the Pareto frontier for basis pursuit ... solutions. The basis pursuit problem seeks a minimum one-norm solution of an underdetermined least...
  • NESTA

  • Referenced in 75 articles [sw06576]
  • ideally suited for solving large-scale compressed sensing reconstruction problems as (1) it is computationally...
  • LDGB

  • Referenced in 22 articles [sw07134]
  • bundle method for large-scale nonsmooth optimization Many practical optimization problems involve nonsmooth (that ... hundreds or thousands of variables. In such problems the direct application of smooth gradient-based ... nonsmooth optimization methods is efficient in large-scale settings. In this article we describe ... academic test problems for large-scale nonsmooth minimization. Finally, we give some encouraging results from...
  • Harwell-Boeing sparse matrix collection

  • Referenced in 186 articles [sw08516]
  • variety of scientific and engineering disciplines. The problems range from small matrices, used as counter ... sparse matrix research, to large test cases arising in large-scale computation. We offer ... describe the guidelines for contributing further test problems to the collection...
  • PETSc

  • Referenced in 652 articles [sw04012]
  • building blocks for the implementation of large-scale application codes on parallel (and serial) computers ... that is most appropriate for a particular problem. By using techniques of object-oriented programming...
  • SPG

  • Referenced in 59 articles [sw00897]
  • gradient algorithm for solving large-scale convex-constrained optimization problems. It combines the classical projected...
  • LBFGS-B

  • Referenced in 152 articles [sw05142]
  • BFGS-B Fortran subroutines for large-scale bound-constrained optimization L-BFGS ... limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds...