Fourth, Expanded and Revised Edition 2004, 500 p. Modern computing tools like Maple (a symbolic computation package) and MatLAB (a numeric and symbolic computation and visualization program) make it possible to use the techniques of scientific computing to solve realistic nontrivial problems in a classroom setting. These problems have been traditionally avoided, since the amount of work required to obtain a solution exceeded the classroom time available and the capabilities of the students. Therefore, simplified and linearized models are often used. This situation has changed, and students can be taught with real-life problems which can be solved by the powerful software tools available. This book is a collection of interesting problems which illustrate some solution techniques in Scientific Computing. The solution technique for each problem is discussed and demonstrated through the use of either Maple or MatLAB. The problems are presented in a way such that a reader can easily extend the techniques to even more difficult problems. This book is intended for students of engineering and scientific computing. It is not an introduction to Maple and MatLAB. Instead, it teaches problem solving techniques through the use of examples, which are difficult real-life problems. Please review the Maple and MatLAB documentation for questions on how to use the software.
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3rd Edition, Elsevier Inc, 2005. – 550 p. Maple by Example bridges the gap that exists between the very elementary handbooks available on Maple and those reference books written for the advanced Maple users. Maple by Example is an appropriate reference for all users of Maple and, in particular, for beginning users like students, instructors, engineers, business people, and...
Springer, 2014. — 905 p. 133 illus., 53 illus. in color. — (Texts in Computational Science and Engineering, Vol. 11). — ISBN: 9783319043258 Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic...
N.-Y.: Springer, 2014. - 272 p. MatLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MatLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...
Chapman and Hall/CRC, 2003. - 232 p. There is nothing quite like that feeling you get when you see that look of recognition and enjoyment on your students' faces. Not just the strong ones, but everyone is nodding in agreement during your first explanation of the geometry of directional derivatives.If you have incorporated animated demonstrations into your teaching, you know how...
Artech House Publishers, 2009. - 406 p. MAPLE is easy-to-use software that performs numerical and symbolic analysis to solve complex mathematical problems. A reference for engineers, scientists, and application developers, it shows you how to tap the full power of MAPLE in solving real-world engineering problems in circuit theory, control theory, curve fitting, mechanics and...