• ISOGAT

• Referenced in 146 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...

• LANCELOT

• Referenced in 254 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 131 articles [sw04766]
• methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed...

• SVMTorch

• Referenced in 59 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 73 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 559 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 419 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...

• Ipopt

• Referenced in 419 articles [sw04808]
• large-scale ​nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems...

• SVMlight

• Referenced in 233 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 105 articles [sw05140]
• method) in the solution of large-scale unconstrained minimization problems. It is shown...

• SimpleMKL

• Referenced in 49 articles [sw12290]
• since it makes MKL tractable for large-scale problems, by iteratively using existing support vector...

• Mercury

• Referenced in 63 articles [sw08333]
• programming systems. Mercury addresses the problems of large-scale program development, allowing modularity, separate compilation...

• CirCut

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

• SPGL1

• Referenced in 102 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 89 articles [sw06576]
• ideally suited for solving large-scale compressed sensing reconstruction problems as (1) it is computationally...

• PETSc

• Referenced in 820 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...

• LDGB

• Referenced in 24 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 199 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...

• GLPK

• Referenced in 141 articles [sw04560]
• solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems...

• LBFGS-B

• Referenced in 194 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...