Algorithms from the BOOK
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-616-8 (ISBN)
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Algorithms are a dominant force in modern culture, and every indication is that they will become more pervasive, not less. The best algorithms are undergirded by beautiful mathematics.
This text cuts across discipline boundaries to highlight some of the most famous and successful algorithms. Readers are exposed to the principles behind these examples and guided in assembling complex algorithms from simpler building blocks.
Algorithms from THE BOOK:
Incorporates Julia code for easy experimentation.
Is written in clear, concise prose consistent with mathematical rigour.
Includes a large number of classroom-tested exercises at the end of each chapter.
Covers background material, often omitted from undergraduate courses, in the appendices.
This textbook is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.
Kenneth Lange is the Rosenfeld Professor of Computational Genetics at UCLA and a faculty member in the departments of Computational Medicine, Human Genetics, and Statistics. He has held appointments at the University of New Hampshire, MIT, Harvard, the University of Michigan, the University of Helsinki, and Stanford. He is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Institute for Medical and Biomedical Engineering. Lange won the Snedecor Award from the Joint Statistical Societies in 1993 and gave a platform presentation at the 2015 International Congress of Mathematicians. His research interests include human genetics, population modeling, cancer modeling, biomedical imaging, computational statistics, optimization theory, and applied stochastic processes. Lange is the author of five previous books, including MM Optimization Algorithms published by SIAM in 2016.??
| Erscheinungsdatum | 30.06.2020 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 480 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-10 | 1-61197-616-2 / 1611976162 |
| ISBN-13 | 978-1-61197-616-8 / 9781611976168 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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