By Erricos John Kontoghiorghes (auth.)
Parallel Algorithms for Linear Models offers an entire and targeted account of the layout, research and implementation of parallel algorithms for fixing large-scale linear versions. It investigates and offers effective, numerically good algorithms for computing the least-squares estimators and different amounts of curiosity on hugely parallel platforms.
The monograph is in components. the 1st half contains 4 chapters and bargains with the computational facets for fixing linear types that experience applicability in varied parts. the rest chapters shape the second one half, which concentrates on numerical and computational tools for fixing a variety of difficulties linked to possible unrelated regression equations (SURE) and simultaneous equations versions.
the sensible problems with the parallel algorithms and the theoretical points of the numerical equipment 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 study within the interface of econometrics, computational facts, numerical linear algebra and parallelism.
Read or Download [(Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems )] [Author: Erricos John Kontoghiorghes] [Jan-2000] PDF
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