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Books > Computing & IT > General theory of computing > Data structures
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Design and Modeling for Computer Experiments (Hardcover, New)
Loot Price: R3,200
Discovery Miles 32 000
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Design and Modeling for Computer Experiments (Hardcover, New)
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Expected to ship within 12 - 17 working days
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Computer simulations based on mathematical models have become
ubiquitous across the engineering disciplines and throughout the
physical sciences. Successful use of a simulation model, however,
requires careful interrogation of the model through systematic
computer experiments. While specific theoretical/mathematical
examinations of computer experiment design are available, those
interested in applying proposed methodologies need a practical
presentation and straightforward guidance on analyzing and
interpreting experiment results. Written by authors with strong
academic reputations and real-world practical experience, Design
and Modeling for Computer Experiments is exactly the kind of
treatment you need. The authors blend a sound, modern statistical
approach with extensive engineering applications and clearly
delineate the steps required to successfully model a problem and
provide an analysis that will help find the solution. Part I
introduces the design and modeling of computer experiments and the
basic concepts used throughout the book. Part II focuses on the
design of computer experiments. The authors present the most
popular space-filling designs - like Latin hypercube sampling and
its modifications and uniform design - including their definitions,
properties, construction and related generating algorithms. Part
III discusses the modeling of data from computer experiments. Here
the authors present various modeling techniques and discuss model
interpretation, including sensitivity analysis. An appendix reviews
the statistics and mathematics concepts needed, and numerous
examples clarify the techniques and their implementation. The
complexity of real physical systems means that thereis usually no
simple analytic formula that sufficiently describes the phenomena.
Useful both as a textbook and professional reference, this book
presents the techniques you need to design and model computer
experiments for practical problem solving.
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