The textbook, Applied Numerical Methods with MATLAB for Engineers and Scientists 4th Edition by Steven Chapra. It is an introduction to numerical analysis (the science of using computers to solve problems that cannot be solved with exact formulas). That uses the MATLAB programming language to solve real-world engineering and scientific problems. The author does a great job of explaining complex mathematical concepts in simple ways and then applying them to his examples. I highly recommend this book to anyone interested in learning more about engineering or science or working through complicated programming challenges.
Overview About “Applied Numerical Methods with MATLAB for Engineers and Scientists”
Applied Numerical Methods with MATLAB for Engineers and Scientists 4th Edition is your complete resource for numerical methods. It covers everything from mathematical modeling, numerical solution of linear systems, integration, differentiation, optimization, and root finding. The book also covers more advanced topics. Such as differential equations, statistics, integration in curvilinear coordinates, and least-squares solutions of systems of equations. With integrated coverage of MATLAB’s solvers in each chapter, you’ll get a solid background in solving engineering problems numerically. When finished reading Applied Numerical Methods with MATLAB for Engineers and Scientists 4th Edition. You will be able to implement numerical techniques in almost any problem you encounter across many engineering disciplines.
Reviews About “Applied Numerical Methods with MATLAB for Engineers and Scientists”
This book is written in a clear, well-organized fashion. The author has a great ability to put concepts into words that are easy to understand. An important aspect of any textbook is accessibility, and Applied Numerical Methods with MATLAB succeed on that front as well. Each chapter is laid out like a typical lecture course: goals are given at the beginning, sections followed by examples and exercises (with answers). And there’s even a mock final exam for practice purposes. The discussion about parameter estimation using nonlinear least-squares fits nicely within each section. But would likely be better placed later in its own chapter as it adds no new information from an engineering standpoint. When compared to standard least-squares fitting methods.
About “Steven J.H. Chapra” the Author
Steven J.H. Chapra is a Distinguished Professor of Civil Engineering at The University of Texas at Austin. Where he has taught since 1978. He earned his Ph.D. in Civil Engineering from Princeton University in 1975. He served as President of both Society for Industrial and Applied Mathematics (SIAM) (2004-05) and the American Society of Civil Engineers (ASCE) (2006-07). Dr. Chapra is a member of both the National Academy of Engineering (NAE) and the Institute of Medicine, National Academy of Sciences, USA. He was one of four pioneering Fellows elected to ASCE’s prestigious National Academy in 2006. The highest honor awarded to civil engineers; only 50 have been inducted since 1874.
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