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.
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