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 An Introduction to Numerical Analysis
This introduction to numerical analysis was written for students in mathematics,
the physical sciences, and engineering, at the upper undergraduate to beginning
graduate level. Prerequisites for using the text are elementary calculus, linear
algebra, and an introduction to differential equations. The student's level of... |  |  Essential Maple 7
This book provides an accelerated introduction to Maple for scientific programmers who already have experience in other computer languages (such as C, Pascal, or FORTRAN). It gives an overview of the most commonly used constructs and an elementary introduction to Maple programming. The new edition is substantially updated throughout. In... |  |  Marketing Strategy and Competitive Positioning (4th Edition)
Thoroughly updated with new examples and the latest research findings, this new edition also boasts updates case studies in each chapter, taken from recent editions of the Financial Times, that illustrate the practical implications of the issues raised.
This book is about creating and sustaining superior performance in the ... |
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 Pediatric and Adolescent Musculoskeletal MRI: A Case-Based Approach
MRI has transformed the field of pediatric and adolescent musculoskeletal imaging.
When the more senior (and gray haired) of the two authors completed his pediatric
radiology training, orthopedic radiology was a primarily plain film based discipline,
occasionally supplemented by arthrography. Although much could be gleaned from... |  |  |  |  All the Mathematics You Missed: But Need to Know for Graduate School
Math is Exciting. We are living in the greatest age of mathematics ever
seen. In the 1930s, there were some people who feared that the rising
abstractions of the early twentieth century would either lead to mathematicians
working on sterile, silly intellectual exercises or to mathematics
splitting into sharply distinct... |
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 |  |  |  |  Practical Scientific Computing (Woodhead Publishing in Mathematics)
Scientific computing is about developing mathematical models, numerical
methods and computer implementations to study and solve real problems in science,
engineering, business and even social sciences. Mathematical modeling requires
deep understanding of classical numerical methods. There are a number of
commercial and open... |
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