Introduction to Scientific Programming and Simulation Using R av Owen Jones, Robert (University of Melbourne Parkville Melbourne Victoria Australia) M

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<P><EM>Learn How to Program Stochastic Models</EM></P><P></P><P>Highly recommended, the best-selling first edition of <STRONG>Introduction to Scientific Programming and Simulation Using R </STRONG>was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data.</P><P></P><P>The book¿s four parts teach:</P><UL><P><LI>Core knowledge of R and programming concepts</LI><LI>How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation</LI><LI>Essentials of probability, random variables, and expectation required to understand simulation</LI><LI>Stochastic modelling and simulation, including random number generation and Monte Carlo integration </LI><P></P></UL