02838 2200397 4500999001700000008004100017020001800058082001900076100001900095245005800114260003500172300003300207365002300240490007400263504005100337520159500388650003201983650001302015650001902028650002102047650001602068650001602084650001902100650002102119650001402140650002702154650001502181650001602196650001702212650001802229650002102247650002102268650001102289942001202300952012802312 c32452d32452230811b xxu||||| |||| 00| 0 eng d a9781032221410 a620.00113bBOW aBower, Timothy aIntroduction to computational engineering with MATLAB bCRC Press,c2023aBoca Raton : axxiv, 414 p. ;bill.,c24 cm b56.99cGBPd108.40 aChapman & Hall/CRC numerical analysis and scientific computing series aIncludes bibliographical references and index. aIntroduction to Computational Engineering with MATLAB aims to teach readers how to use MATLAB programming to solve numerical engineering problems. The book focuses on computational engineering with the objective of helping engineering students improve their numerical problem-solving skills. The book cuts a middle path between undergraduate texts that simply focus on programming and advanced mathematical texts that skip over foundational concepts, feature cryptic mathematical expressions, and do not provide sufficient support for novices. Although this book covers some advanced topics, readers do not need prior computer programming experience or an advanced mathematical background. Instead, the focus is on learning how to leverage the computer and software environment to do the hard work. The problem areas discussed are related to data-driven engineering, statistics, linear algebra, and numerical methods. Some example problems discussed touch on robotics, control systems, and machine learning. Features: Demonstrates through algorithms and code segments how numeric problems are solved with only a few lines of MATLAB code Quickly teaches students the basics and gets them started programming interesting problems as soon as possible No prior computer programming experience or advanced math skills required Suitable for students at undergraduate level who have prior knowledge of college algebra, trigonometry, and are enrolled in Calculus I MATLAB script files, functions, and datasets used in examples are available for download from http://www.routledge.com/9781032221410. aEngineering Data processing aBox plot aCommand window aCoordonate frame aDot product aEigenvalues aLinear algebra aLU decomposition aMathworks a Matrix multiplication aNull space aODE solvers aQR algorithm aRandom number aRound-off errors aSymmetric matrix aZ-test 2ddccBK 00102ddc406620_001130000000000_BOW70942364aDAIICTbDAIICTd2023-07-27g6177.72o620.00113 BOWp034023r2023-08-11yBK