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Zusatztext "The colloquial and tutorial approach might help alleviate the many practical problems associated with incorporating computational applications into a more traditional lecture environment. The text provides many concrete and programming examples in action and illustrates how much you can accomplish with a few well-chosen tools. . . . [S]tudents impressed with the text's workbook style and reference book quality will add it to their bookshelves and return to it often." ---Michael Jay Schillaci, IEEE Computing in Science and Engineering Informationen zum Autor Rubin H. Landau is Distinguished Professor of Physics and Director of the Computational Physics Program at Oregon State University. He is the lead author of Computational Physics: Problem Solving with Computers; A Scientist's and Engineer's Guide to Workstations and Supercomputers; and Quantum Mechanics II: A Second Course in Quantum Theory. Klappentext "This book fills an important niche for the undergraduate by providing a well-organized, well-written introduction to a subject usually addressed in books for graduate students. Its problem-based approach to programming in Maple and Java, using common physics problems in a multitude of areas such as mechanisms, electromagnetism, and relativity, is very effective method of instruction."--Gregory Moses, University of Wisconsin-Madison "This easy-to-follow book is novel in being a hands-on workbook rather than a standard textbook. Importantly, it integrates scientific examples with a discussion of programming techniques and algorithm design. By having the student read it while sitting down at the computer, it offers immediate feedback. It is also unusual in using and comparing two very different approaches, Maple and Java."--Jan Tobochnik, Kalamazoo College, coauthor of "An Introduction to Computer Simulation Methods" and Editor of the "American Journal of Physics" Zusammenfassung Offers a different approach to introductory scientific computing. This title aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Inhaltsverzeichnis 97888121 ...
