
LANCELOT
 Referenced in 245 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...

Bonmin
 Referenced in 114 articles
[sw04766]
 methods and software for solving largescale problems. Moreover, both fundamental building blocks, namely mixed...

ISOGAT
 Referenced in 100 articles
[sw00457]
 MATLAB code for solving elliptic diffusiontype problems, including Poisson’s equation on single patch ... apparent. It is not intended for largescale problems...

SVMTorch
 Referenced in 56 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...

LIPSOL
 Referenced in 69 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...

LBFGS
 Referenced in 516 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 365 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...

SVMlight
 Referenced in 223 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...

tn
 Referenced in 99 articles
[sw05140]
 method) in the solution of largescale unconstrained minimization problems. It is shown...

Ipopt
 Referenced in 313 articles
[sw04808]
 largescale nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems...

SimpleMKL
 Referenced in 45 articles
[sw12290]
 since it makes MKL tractable for largescale problems, by iteratively using existing support vector...

CirCut
 Referenced in 39 articles
[sw04782]
 approximation can be excessively high for largescale problems due to the need for solving...

Mercury
 Referenced in 53 articles
[sw08333]
 programming systems. Mercury addresses the problems of largescale program development, allowing modularity, separate compilation...

SPGL1
 Referenced in 72 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...

NESTA
 Referenced in 75 articles
[sw06576]
 ideally suited for solving largescale compressed sensing reconstruction problems as (1) it is computationally...

LDGB
 Referenced in 22 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...

HarwellBoeing sparse matrix collection
 Referenced in 186 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 largescale computation. We offer ... describe the guidelines for contributing further test problems to the collection...

PETSc
 Referenced in 652 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...

SPG
 Referenced in 59 articles
[sw00897]
 gradient algorithm for solving largescale convexconstrained optimization problems. It combines the classical projected...

LBFGSB
 Referenced in 152 articles
[sw05142]
 BFGSB Fortran subroutines for largescale boundconstrained optimization LBFGS ... limitedmemory algorithm for solving large nonlinear optimization problems subject to simple bounds...