A First Course in Scientific Computing: Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90

Acerca del 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."

De la contraportada

"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

De la solapa interior

"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 ofAn Introduction to Computer Simulation Methods and Editor of the American Journal of Physics