
ISOGAT
 Referenced in 207 articles
[sw00457]
 MATLAB code for solving elliptic diffusiontype problems, including Poisson’s equation on single patch ... apparent. It is not intended for largescale problems...

Bonmin
 Referenced in 176 articles
[sw04766]
 methods and software for solving largescale problems. Moreover, both fundamental building blocks, namely mixed...

LANCELOT
 Referenced in 276 articles
[sw00500]
 software package for solving largescale 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 largescale optimization algorithms...

SVMTorch
 Referenced in 66 articles
[sw12121]
 SVMTorch: Support vector machines for largescale regression problems. Support Vector Machines (SVMs) for regression ... Light proposed by T. Joachims [“Making largescale support vector machine learning practical ... efficiently solve largescale regression problems (more than 20000 examples). Comparisons with Nodelib, another publicly ... available SVM algorithm for largescale regression problems from G. Flake and S. Lawrence [Mach...

LBFGS
 Referenced in 674 articles
[sw03229]
 BFGSB Fortran subroutines for largescale boundconstrained optimization. LBFGS ... limitedmemory algorithm for solving large nonlinear optimization problems subject to simple bounds...

SNOPT
 Referenced in 480 articles
[sw02300]
 SNOPT: An SQP algorithm for largescale 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 547 articles
[sw04808]
 largescale nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems...

LIPSOL
 Referenced in 79 articles
[sw04712]
 LIPSOL is designed to solve relatively large problems. It utilizes Matlab’s sparsematrix data ... existing, efficient Fortran codes for solving large, sparse, symmetric positive deﬁnite linear systems. Specifically, LIPSOL ... adequate speed for solving moderately largescale problems even in the presence of overhead induced...

SPGL1
 Referenced in 144 articles
[sw08365]
 SPGL1: A solver for largescale sparse reconstruction: Probing the Pareto frontier for basis pursuit ... solutions. The basis pursuit problem seeks a minimum onenorm solution of an underdetermined least...

tn
 Referenced in 117 articles
[sw05140]
 method) in the solution of largescale unconstrained minimization problems. It is shown...

SVMlight
 Referenced in 254 articles
[sw04076]
 objects as accurately as possible. Such ranking problems naturally occur in applications like search engines ... largescale transductive SVMs. The algorithm proceeds by solving a sequence of optimization problems lower...

SimpleMKL
 Referenced in 55 articles
[sw12290]
 since it makes MKL tractable for largescale problems, by iteratively using existing support vector...

CirCut
 Referenced in 42 articles
[sw04782]
 approximation can be excessively high for largescale problems due to the need for solving...

Mercury
 Referenced in 65 articles
[sw08333]
 programming systems. Mercury addresses the problems of largescale program development, allowing modularity, separate compilation...

NESTA
 Referenced in 110 articles
[sw06576]
 ideally suited for solving largescale compressed sensing reconstruction problems as (1) it is computationally...

IETI
 Referenced in 39 articles
[sw19412]
 powerful approach to designing solvers for largescale problems in computational mechanics. The numerical simulation...

PETSc
 Referenced in 1015 articles
[sw04012]
 building blocks for the implementation of largescale application codes on parallel (and serial) computers ... that is most appropriate for a particular problem. By using techniques of objectoriented programming...

LDGB
 Referenced in 31 articles
[sw07134]
 bundle method for largescale nonsmooth optimization Many practical optimization problems involve nonsmooth (that ... hundreds or thousands of variables. In such problems the direct application of smooth gradientbased ... nonsmooth optimization methods is efficient in largescale settings. In this article we describe ... academic test problems for largescale nonsmooth minimization. Finally, we give some encouraging results from...

LBFGSB
 Referenced in 263 articles
[sw05142]
 BFGSB Fortran subroutines for largescale boundconstrained optimization LBFGS ... limitedmemory algorithm for solving large nonlinear optimization problems subject to simple bounds...

huge
 Referenced in 31 articles
[sw08466]
 graph visualization; (4) a minor convergence problem of the graphical lasso algorithm is corrected ... lossy screening rules to scale up largescale problems, making a tradeoff between computational...