A Course in Mathematical Cryptography

"A Course in Mathematical Cryptography" by Gilbert Baumslag, et al.

"A Course in Mathematical Cryptography" by Gilbert Baumslag, Benjamin Fine, Martin Kreuzer, Gerhard Rosenberger
deGru | 2015 | ISBN: 3110372770 3110372762 311038616X | 391 pages | PDF | 7 MB

This book is concerned with the mathematical, especially algebraic, aspects of cryptography, and covers a wide range of topics in mathematical cryptography. The book is primarily geared towards graduate students and advanced undergraduates in mathematics and computer science, but may also be of interest to researchers in the area.
A Course in Mathematical Physics 1 and 2: Classical Dynamical Systems and Classical Field Theory

A Course in Mathematical Physics 1 and 2: Classical Dynamical Systems and Classical Field Theory by Walter Thirring
English | 1 Jan. 1992 | ISBN: 0387976094 | 576 Pages | PDF | 14 MB

The last decade has seen a considerable renaissance in the realm of classical dynamical systems, and many things that may have appeared mathematically overly sophisticated at the time of the first appearance of this textbook have since become the everyday tools of working physicists.

A Course in Mathematical and Statistical Ecology (repost)  eBooks & eLearning

Posted by MoneyRich at Nov. 25, 2016
A Course in Mathematical and Statistical Ecology (repost)

A Course in Mathematical and Statistical Ecology (Theory and Decision Library B) by Anil Gore
English | 15 Dec. 2010 | ISBN: 9048156165 | 304 Pages | PDF | MB

Two invited papers are presented together with 39 contributions, which were carefully reviewed and selected from 62 full papers presented at the conference (out of 448 submissions). They reflect state-of-the-art research work that is often driven by real-world applications, thus successfully relating the academic with the industrial community.

A Course in Mathematical Statistics and Large Sample Theory  eBooks & eLearning

Posted by interes at Nov. 20, 2016
A Course in Mathematical Statistics and Large Sample Theory

A Course in Mathematical Statistics and Large Sample Theory by Rabi Bhattacharya and Lizhen Lin
English | 2016 | ISBN: 1493940309 | 389 pages | PDF | 5 MB
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational [Repost]

Gerda de Vries, Thomas Hillen, Mark Lewis, Birgitt Sch├Ánfisch, Johannes Muller - A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational
Published: 2006-06-27 | ISBN: 0898716128 | PDF + DJVU | 309 pages | 36.76 MB

A Course in Mathematical and Statistical Ecology  eBooks & eLearning

Posted by fdts at Sept. 14, 2016
A Course in Mathematical and Statistical Ecology

A Course in Mathematical and Statistical Ecology (Theory and Decision Library B)
by Anil Gore, S.A. Paranjpe
English | 2010 | ISBN: 9048156165 | 288 pages | PDF | 6.25 MB
A Course in Mathematical Analysis: Volume 1, Foundations and Elementary Real Analysis (repost)

A Course in Mathematical Analysis: Volume 1, Foundations and Elementary Real Analysis by D. J. H. Garling
English | ISBN: 1107032024, 110761418X | 2013 | PDF | 314 pages | 2,5 MB
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational (Repost)

Gerda de Vries, Thomas Hillen, Mark Lewis, "A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computational"
2006 | pages: 322 | ISBN: 0898716128 | DJVU | 2,9 mb

A Course in Mathematical Methods for Physicists  

Posted by nebulae at July 19, 2015
A Course in Mathematical Methods for Physicists

Russell L. Herman, "A Course in Mathematical Methods for Physicists"
English | ISBN: 146658467X | 2014 | 774 pages | PDF | 9 MB
A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computationa by Thomas Hillen

A Course in Mathematical Biology: Quantitative Modeling with Mathematical and Computationa by Thomas Hillen
English | June 27, 2006 | ISBN: 0898716128 | 322 pages | PDF | 19 MB

This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology.