Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)

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W. P. Petersen 作者
Oxford University Press, USA
譯者
2004-03-01 出版日期
278 頁數
USD 219.45 價格
Hardcover
叢書系列
9780198515760 圖書編碼

Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 圖書標籤: Parallel.Computation  cp  Programming  Oxford.Press   


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Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 著者簡介


Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 著者簡介


Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics) 在線電子書 圖書描述

In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines, and finally to distributed memory machines. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers.

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