By Erricos John Kontoghiorghes (auth.)
Parallel Algorithms for Linear Models offers a whole and specific account of the layout, research and implementation of parallel algorithms for fixing large-scale linear types. It investigates and provides effective, numerically sturdy algorithms for computing the least-squares estimators and different amounts of curiosity on hugely parallel structures.
The monograph is in components. the 1st half comprises 4 chapters and offers with the computational elements for fixing linear versions that experience applicability in different components. the rest chapters shape the second one half, which concentrates on numerical and computational equipment for fixing a number of difficulties linked to likely unrelated regression equations (SURE) and simultaneous equations types.
the sensible problems with the parallel algorithms and the theoretical elements of the numerical tools might be of curiosity to a huge variety of researchers operating within the components of numerical and computational equipment in records and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra. the purpose of this monograph is to advertise examine within the interface of econometrics, computational facts, numerical linear algebra and parallelism.