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Familiarize yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting and working with files, numerical computation formalism, and the primary concepts of approximations. Introduction to MATLAB is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. You will: Apply sample code to your engineering or science problems Work with MATLAB arrays, functions, and loops Use MATLAB’s plotting functions for data visualization Solve numerical computing and computational engineering problems with a MATLAB case study.
Mathematics --- Computer science --- Programming --- Computer. Automation --- Matlab (informatica) --- computers --- informatica --- programmeren (informatica) --- programmeertalen --- wiskunde --- computerkunde --- Programming languages (Electronic computers). --- Computer science—Mathematics. --- Computer programming. --- Programming Languages, Compilers, Interpreters. --- Math Applications in Computer Science. --- Programming Techniques. --- MATLAB. --- Programming languages (Electronic computers)
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This textbook provides a step-by-step approach to numerical methods in engineering modelling. The authors provide a consistent treatment of the topic, from the ground up, to reinforce for students that numerical methods are a set of mathematical modelling tools which allow engineers to represent real-world systems and compute features of these systems with a predictable error rate. Each method presented addresses a specific type of problem, namely root-finding, optimization, integral, derivative, initial value problem, or boundary value problem, and each one encompasses a set of algorithms to solve the problem given some information and to a known error bound. The authors demonstrate that after developing a proper model and understanding of the engineering situation they are working on, engineers can break down a model into a set of specific mathematical problems, and then implement the appropriate numerical methods to solve these problems. Uses a “building-block” approach, starting with simpler mathematical tools and using them to develop more and more complex models and methods; Integrates modelling, error measuring, and programming, with numerical methods, in order to give an engineering emphasis to an otherwise mathematical topic; Demonstrates not only how the math and algorithms work but also how they can be used in engineering practice.
Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Computer. Automation --- analyse (wiskunde) --- toegepaste wiskunde --- computers --- economie --- informatica --- externe fixatie (geneeskunde --- wiskunde --- ingenieurswetenschappen --- Applied mathematics. --- Engineering mathematics. --- Computer mathematics. --- Computer science—Mathematics. --- Mathematical and Computational Engineering. --- Computational Mathematics and Numerical Analysis. --- Math Applications in Computer Science. --- Computer science --- Mathematics.
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