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发表于2024-05-20

Introduction to Scientific Programming and Simulation Using R 2024 pdf epub mobi 电子书

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任何一种编程语言的学习在开始的时候都是一个痛苦的过程，因此在初始阶段选择任何一本书其实没有多大差别。差别在于你已经了解最基本的规则之后，培养自己编程的taste的时候。所以google才会有自己的r编程规范。 http://google-styleguide.googlecode.com/svn/trunk/google-r-...

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出版者:Chapman & Hall

作者:Owen Jones

出品人:

页数:472

译者:

出版时间:2009-03-11

价格:USD 79.95

装帧:Hardcover

isbn号码:9781420068726

丛书系列:

图书标签: R 统计 statistics 编程统计学 Programming 英文版编程语言

Introduction to Scientific Programming and Simulation Using R 2024 pdf epub mobi 电子书图书描述

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

In the last section, stochastic modelling is introduced using extensive case studies on epidemics, inventory management, and plant dispersal. A tried and tested pedagogic approach is employed throughout, with numerous examples, exercises, and a suite of practice projects. Unlike most guides to R, this volume is not about the application of statistical techniques, but rather shows how to turn algorithms into code. It is for those who want to make tools, not just use them.

Introduction to Scientific Programming and Simulation Using R 2024 pdf epub mobi 电子书

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第一部分是R编程入门；第二部分是数值计算，主要是解方程，求积分和优化；第三部分是概率和统计，主要讲概率、随机变量等概念和参数估计，第四部分是simulation，主要讲Monte Carlo积分和方差降低。

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很不错啊

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introductory programming

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introductory programming

Introduction to Scientific Programming and Simulation Using R 2024 pdf epub mobi 电子书

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