
ISOGAT
 Referenced in 268 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 180 articles
[sw04766]
 methods and software for solving largescale problems. Moreover, both fundamental building blocks, namely mixed...

LANCELOT
 Referenced in 293 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 693 articles
[sw03229]
 BFGSB Fortran subroutines for largescale boundconstrained optimization. LBFGS ... limitedmemory algorithm for solving large nonlinear optimization problems subject to simple bounds...

Ipopt
 Referenced in 589 articles
[sw04808]
 largescale nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems...

SNOPT
 Referenced in 495 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...

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 153 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 125 articles
[sw05140]
 method) in the solution of largescale unconstrained minimization problems. It is shown...

SimpleMKL
 Referenced in 57 articles
[sw12290]
 since it makes MKL tractable for largescale problems, by iteratively using existing support vector...

SVMlight
 Referenced in 257 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...

IETI
 Referenced in 55 articles
[sw19412]
 powerful approach to designing solvers for largescale problems in computational mechanics. The numerical simulation...

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

NESTA
 Referenced in 115 articles
[sw06576]
 ideally suited for solving largescale compressed sensing reconstruction problems as (1) it is computationally...

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

PETSc
 Referenced in 1092 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...

LBFGSB
 Referenced in 287 articles
[sw05142]
 BFGSB Fortran subroutines for largescale boundconstrained optimization LBFGS ... limitedmemory algorithm for solving large nonlinear optimization problems subject to simple bounds...

LDGB
 Referenced in 33 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...

huge
 Referenced in 34 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...