<--- Back to Details
First PageDocument Content
Mathematical optimization / Operations research / Applied mathematics / Mathematics / Numerical linear algebra / Frontal solver / Solver / Sol / PDES / Numerical analysis / Numerical software / Computer file formats
Date: 2013-04-16 18:25:53
Mathematical optimization
Operations research
Applied mathematics
Mathematics
Numerical linear algebra
Frontal solver
Solver
Sol
PDES
Numerical analysis
Numerical software
Computer file formats

Block Low-Rank (BLR) approximations to improve multifrontal sparse solvers. Clément Weisbecker Université de Toulouse, INPT(ENSEEIHT)-IRIT, France In collaboration with O. Boiteau (EDF R& D, France) and C. Ashcraft(LS

Add to Reading List

Source URL: mumps.enseeiht.fr

Download Document from Source Website

File Size: 86,77 KB

Share Document on Facebook

Similar Documents

Solving Nonlinear Integer Arithmetic with MCSAT? Dejan Jovanovi´c SRI International  Abstract. We present a new method for solving nonlinear integer arithmetic constraints. The method relies on the MCSat approach to sol

Solving Nonlinear Integer Arithmetic with MCSAT? Dejan Jovanovi´c SRI International Abstract. We present a new method for solving nonlinear integer arithmetic constraints. The method relies on the MCSat approach to sol

DocID: 1xTwN - View Document

PDF Document

DocID: 1xQ2a - View Document

PDF Document

DocID: 1xgbZ - View Document

PDF Document

DocID: 1vNb3 - View Document

Microsoft PowerPoint - nagoya_map.ppt

Microsoft PowerPoint - nagoya_map.ppt

DocID: 1vmdb - View Document