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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...
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Bonmin
- Referenced in 211 articles
[sw04766]
- methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed...
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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...
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Ipopt
- Referenced in 740 articles
[sw04808]
- large-scale nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems...
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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...
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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...
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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...
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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...
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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...
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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...
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tn
- Referenced in 140 articles
[sw05140]
- method) in the solution of large-scale unconstrained minimization problems. It is shown...
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SimpleMKL
- Referenced in 67 articles
[sw12290]
- since it makes MKL tractable for large-scale problems, by iteratively using existing support vector...
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IETI
- Referenced in 66 articles
[sw19412]
- powerful approach to designing solvers for large-scale problems in computational mechanics. The numerical simulation...
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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...
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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...
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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...
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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...
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NESTA
- Referenced in 131 articles
[sw06576]
- ideally suited for solving large-scale compressed sensing reconstruction problems as (1) it is computationally...
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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...
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Mercury
- Referenced in 69 articles
[sw08333]
- programming systems. Mercury addresses the problems of large-scale program development, allowing modularity, separate compilation...