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Methods in Computational Science (Paperback)
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Methods in Computational Science (Paperback)
Series: Computational Science and Engineering
Expected to ship within 12 - 17 working days
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Computational methods are an integral part of most scientific
disciplines, and a rudimentary understanding of their potential and
limitations is essential for any scientist or engineer. This
textbook introduces computational science through a set of methods
and algorithms with the aim of familiarizing the reader with the
field's theoretical foundations and providing the practical skills
to use and develop computational methods. Methods in Computational
Science extends the classical syllabus with new material, including
high performance computing, adjoint methods, machine learning,
randomized algorithms, and quantum computing, is centered around a
set of fundamental algorithms presented in the form of pseudocode,
presents theoretical material alongside several examples and
exercises, and provides Python implementations of many key
algorithms. Methods in Computational Science is a textbook for
computer science and data science students at the advanced
undergraduate and graduate level. It is appropriate for the
following courses: Advanced Numerical Analysis, Special Topics on
Numerical Analysis, Topics on Data Science, Topics on Numerical
Optimization, and Topics on Approximation Theory. Because the text
is self-contained, it can also be used to support continuous
learning for practicing mathematicians, data scientists, computer
scientists, and engineers in the field of computational science.
General
Imprint: |
Society For Industrial & Applied Mathematics,U.S.
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Country of origin: |
United States |
Series: |
Computational Science and Engineering |
Release date: |
November 2021 |
Authors: |
Johan Hoffman
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Dimensions: |
178 x 258 x 28mm (L x W x T) |
Format: |
Paperback
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Pages: |
395 |
ISBN-13: |
978-1-61197-671-7 |
Categories: |
Books
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LSN: |
1-61197-671-5 |
Barcode: |
9781611976717 |
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