The reader should therefore be able to gain quickly an insight into the important results and techniques in each area without recourse to the large research literature. Current unsolved problems are also described and directions for future research are given.
This bo Numerical Analysis with Applications in Mechanics and Engineering. A muchneeded guide on how to use numerical methods to solve practical engineering problemsBridging the gap between mathematics and engineering, Numerical Analysis with Applications in Mechanics and Engineering arms readers with powerful tools for solving realworld problems in mechanics, physics, and civil and mechanical engineering.
Unlike most books on numerical analysis, this outstanding work links theory and application, explains the mathematics in simple engineering terms, and clearly demonstrates how to use numerical methods to obtain solutions and interpret results. Each chapter is devoted to a unique analytical methodology, including a detailed theoretical presentation and emphasis on practical computation.
Ample numerical examples and applicat Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers.
This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations.
It not only shows how to use Rs powerful graphic tools to construct t If You're an Educator Download instructor resources Additional order info.
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