- Referenced in 684 articles
- Fortran77 subroutines designed to solve large scale eigenvalue problems. The package is designed to compute ... technique that is suitable for large scale problems. For many standard problems, a matrix factorization ... ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant...
- Referenced in 859 articles
- building blocks for the implementation of large-scale application codes on parallel (and serial) computers...
- Referenced in 473 articles
- SIFT Keypoint Detector. Distinctive Image Features from Scale-Invariant Keypoints. This paper presents a method ... scene. The features are invariant to image scale and rotation, and are shown to provide...
- Referenced in 427 articles
- MINOS is a large-scale optimization system, for the solution of sparse linear and nonlinear ... factors of the basis matrix), automatic scaling of linear contraints, and automatic estimation of some...
- Referenced in 567 articles
- BFGS-B Fortran subroutines for large-scale bound-constrained optimization. L-BFGS...
- Referenced in 510 articles
- programs on both a small and large scale. Python supports multiple programming paradigms, including object...
- Referenced in 435 articles
- software package for large-scale nonlinear optimization. It is designed to find (local) solutions...
- Referenced in 429 articles
- SNOPT: An SQP algorithm for large-scale constrained optimization. Sequential quadratic programming (SQP) methods have...
- Referenced in 258 articles
- LANCELOT. A Fortran package for large-scale nonlinear optimization (Release A) LANCELOT is a software ... package for solving large-scale nonlinear optimization problems. This book provides a coherent overview ... design and implementation of large-scale optimization algorithms...
- Referenced in 372 articles
- built-in eigs routine (ARPACK) for large-scale eigenvalue computations...
- Referenced in 351 articles
- improved to meet the demands of large-scale applications. Nuprl LPE, the newest release, features...
- Referenced in 234 articles
- version includes an algorithm for training large-scale transductive SVMs. The algorithm proceeds by solving...
- Referenced in 212 articles
- state-of-the-art packages for large-scale scientific computation written and developed...
- Referenced in 201 articles
- state maintained by each node scaling logarithmically with the number of Chord nodes...
- Referenced in 197 articles
- BFGS-B Fortran subroutines for large-scale bound-constrained optimization L-BFGS...
- Referenced in 114 articles
- scaling and squaring method for the matrix exponential revisited. The scaling and squaring method ... MATLAB function expm. The method scales the matrix by a power of 2 to reduce ... squares to undo the effect of the scaling...
- Referenced in 195 articles
- employ asymptotic analysis to formally derive proper scalings for the numerical fluxes in the limit...
- Referenced in 136 articles
- reduced-gradient (GRG) algorithm for solving large-scale nonlinear programs involving sparse nonlinear constraints ... very competitive with other codes for large-scale nonlinear programming from both an efficiency...
- Referenced in 184 articles
- parallel programming model initially developed for large-scale web content processing. Data analysis meets...