Authors:
- Presents mechanical method for determining matrix singularity or non-independence of dimension and complexity
- Illustrates novel mathematical applications of classical Newton’s law
- Offers a new approach and insight to basic, standard problems
- Includes numerous examples and applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Nonlinear Systems and Complexity (NSCH, volume 4)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“The framework of the monograph is the construction of algorithms for linear and nonlinear optimization problems by applying numerical algorithms used to simulate the equation of motion for Newtonian particles. … The monograph is intended for a broad public, for undergraduate and graduate students and for researchers. … There are illustrative examples in two or three variables at the end of each chapter. Several figures help the reader to understand the methods.” (Werner H. Schmidt, Zentralblatt MATH, Vol. 1264, 2013)Authors and Affiliations
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, Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain
Luis Vázquez
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, E.T.S.I. Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
Salvador Jiménez
About the authors
Salvador Jimenez, Universidad Politecnica de Madrid, s.jimenez@upm.es
Bibliographic Information
Book Title: Newtonian Nonlinear Dynamics for Complex Linear and Optimization Problems
Authors: Luis Vázquez, Salvador Jiménez
Series Title: Nonlinear Systems and Complexity
DOI: https://doi.org/10.1007/978-1-4614-5912-5
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-5911-8Published: 27 November 2012
Softcover ISBN: 978-1-4939-0017-6Published: 13 December 2014
eBook ISBN: 978-1-4614-5912-5Published: 28 November 2012
Series ISSN: 2195-9994
Series E-ISSN: 2196-0003
Edition Number: 1
Number of Pages: XII, 140
Topics: Mathematical and Computational Engineering, Operations Research, Management Science, Linear and Multilinear Algebras, Matrix Theory