Зарегистрироваться
Восстановить пароль
FAQ по входу

Watkins D.S. Fundamentals of Matrix Computations

  • Файл формата pdf
  • размером 21,92 МБ
  • Добавлен пользователем
  • Описание отредактировано
Watkins D.S. Fundamentals of Matrix Computations
Wiley-Interscience, 2002. - 633 pages.
A significantly revised and improved introduction to a critical aspect of scientific computation
Matrix computations lie at the heart of most scientific computational tasks. For any scientist or engineer doing large-scale simulations, an understanding of the topic is essential. Fundamentals of Matrix Computations, Second Edition explains matrix computations and the accompanying theory clearly and in detail, along with useful insights.
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация

Смотри также

Подробнее

Golub G.H., Van Loan C.F. Matrix Computations

  • pdf
Johns Hopkins University Press, 2012. — 790 p. — 4th edition — ISBN: 1421407949, 9781421407944 The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an...
  • 13,14 МБ
  • добавлен
  • описание отредактировано
Подробнее

Gonzalez T.F. (ed.) Handbook of Approximation Algorithms and Metaheuristics

  • pdf
New York: Chapman & Hall/CRC, 2007. — 1354 p. Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics. Starting with basic approaches, the handbook...
  • 12,06 МБ
  • добавлен
  • описание отредактировано
Подробнее

Kulkarni S., Harman G. An Elementary Introduction to Statistical Learning Theory

  • pdf
Wiley, 2011. — 222 p. — ISBN: 0470641835, 9780470641835. A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer...
  • 3,46 МБ
  • добавлен
  • описание отредактировано
Подробнее

Murphy K.P. Machine Learning: A Probabilistic Perspective

  • pdf
Massachusetts Institute of Technology, 2012. — 1067 p. — ISBN: 0262018020, 978-0262018029. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive...
  • 25,69 МБ
  • добавлен
  • описание отредактировано
Подробнее

Nisbet R., Elder J., Miner G. Handbook of Statistical Analysis and Data Mining Applications

  • pdf
Academic Press, 2009. — 864 p. — ISBN: 0123747651. Robert Nisbet, Pacific Capital Bank Corporation, Santa Barbara, CA, USA John Elder, Elder Research, Inc. and the University of Virginia, Charlottesville, USA Gary Miner, StatSoft, Inc. , Tulsa, OK, USA Description The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book...
  • 41,49 МБ
  • дата добавления неизвестна
  • описание отредактировано
Подробнее

Press W.H., Teukolsky S.A, Vetterling W.T., Flannery B.P. Numerical Recipes. The Art of Scientific Computing

  • pdf
Cambridge University Press, 2007. — 1262 p. Authors: William H. Press - Raymer Chair in Computer Sciences and Integrative Biology The University of Texas at Austin Saul A. Teukolsky - Hans A. Bethe Professor of Physics and Astrophysics Cornell University William T. Vetterling - Research Fellow and Director of Image Science ZINK Imaging, LLC Brian P. Flannery - Science, Strategy...
  • 7,57 МБ
  • дата добавления неизвестна
  • описание отредактировано
Наверх