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折優惠：HK$74.4
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Introduction to Scientific Programming and Simulation Using R
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沒有庫存
訂購需時10-14天
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9781420068726 | |
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Owen Jones Robert Maillardet Andrew Robinson
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Chapman and Hall | |
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2009年3月11日
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382.00 元
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HK$ 362.9
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Known for its versatility, the free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming.
An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to perform scientific programming while also introducing stochastic modelling. Stochastic modelling in particular, and mathematical modelling in general, are intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to real-world problems.
Following a natural progression that assumes no prior knowledge of programming or probability, the book is organised into four main sections:
Programming In R starts with how to obtain and install R (for Windows, MacOS, and Unix platforms), then tackles basic calculations and program flow, before progressing to function based programming, data structures, graphics, and object-oriented code
A Primer on Numerical Mathematics introduces concepts of numerical accuracy and program efficiency in the context of root-finding, integration, and optimization
A Self-contained Introduction to Probability Theory takes readers as far as the Weak Law of Large Numbers and the Central Limit Theorem, equipping them for point and interval estimation
Simulation teaches how to generate univariate random variables, do Monte-Carlo integration, and variance reduction techniques
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