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  • ISOGAT
  • Referenced in 310 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...

  • Bonmin
  • Referenced in 211 articles [sw04766]
  • methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed...

  • LANCELOT
  • Referenced in 306 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...

  • Ipopt
  • Referenced in 740 articles [sw04808]
  • large-scale ​nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems...

  • L-BFGS
  • Referenced in 805 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...

  • SVMTorch
  • Referenced in 67 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...

  • SNOPT
  • Referenced in 543 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...

  • LIPSOL
  • Referenced in 84 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...

  • IR Tools
  • Referenced in 49 articles [sw26721]
  • Iterative Regularization Methods and Large-Scale Test Problems. This paper describes a new MATLAB software ... iterative regularization methods and test problems for large-scale linear inverse problems. The software package ... provide a set of large-scale test problems in the form of discretizations ... parameters. The test problems represent realistic large-scale problems found in image reconstruction and several...

  • SPGL1
  • Referenced in 196 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...

  • tn
  • Referenced in 140 articles [sw05140]
  • method) in the solution of large-scale unconstrained minimization problems. It is shown...

  • SimpleMKL
  • Referenced in 67 articles [sw12290]
  • since it makes MKL tractable for large-scale problems, by iteratively using existing support vector...

  • IETI
  • Referenced in 66 articles [sw19412]
  • powerful approach to designing solvers for large-scale problems in computational mechanics. The numerical simulation...

  • SVMlight
  • Referenced in 264 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...

  • PETSc
  • Referenced in 1541 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...

  • LBFGS-B
  • Referenced in 413 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...

  • FUN3D
  • Referenced in 49 articles [sw13801]
  • applied to a number of complex large-scale problems by groups at NASA Langley, industry ... also been used for military applications, large-scale computer science research at national labs...

  • NESTA
  • Referenced in 131 articles [sw06576]
  • ideally suited for solving large-scale compressed sensing reconstruction problems as (1) it is computationally...

  • LDGB
  • Referenced in 42 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...

  • Mercury
  • Referenced in 69 articles [sw08333]
  • programming systems. Mercury addresses the problems of large-scale program development, allowing modularity, separate compilation...