Parallel Scientific Computing and Optimization: Advances and Applications
Raimondas Ciegis (Editor), David Henty (Editor), Bo Kagstrom (Editor), Julius Zilinskas (Editor)Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.
This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.