Free Download Discrete Mathematics with Cryptographic Applications: A Self-Teaching Introduction
English | 2021 | ISBN: 168392763X | 635 Pages | EPUB (True) | 22 MB
This book covers the discrete mathematics as it has been established after its emergence since the middle of the last century and its elementary applications to cryptography. It can be used by any individual studying discrete mathematics, finite mathematics, and similar subjects. Any necessary prerequisites are explained and illustrated in the book. As a background of cryptography, the textbook gives an introduction into number theory, coding theory, information theory, that obviously have discrete nature. Designed in a "self-teaching" format, the book includes about 600 problems (with and without solutions) and numerous, practical examples of cryptography.

Liben-Nowell D Connecting Discrete Mathematics and Computer Science 2ed 2022 | 41.62 MB
N/A | 692 Pages

Title: Connecting Discrete Mathematics and Computer Science
Author: David Liben-Nowell
Year: N/A

Henrici P Discrete Variable Methods in Ordinary Differential Equations 1962 | 35.99 MB
N/A | 420 Pages

Title: discrete variable methods in ordinary differential equations
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Cerf M Optimization Techniques II Discrete and Functional Optimization 2023 | 21.08 MB
N/A | 482 Pages

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Free Download Discrete Stochastics by Konrad Jacobs
English | PDF | 1992 | 287 Pages | ISBN : 3764325917 | 20.1 MB
Discrete stochastics is the theory of discrete probability spaces. This undergraduate textbook gives a concise introduction into discrete stochastics in general, and into a variety of typical special topics in this field, such as information theory, fluctuation theory, and semigroups of stochastic matrices. The emphasis lies on probability theory rather than on statistical methodology. Motivations, interpretations, and numerous examples and exercises relate the mathematical theory to stochastic experience.

Free Download Alessio Alexiadis, "Discrete Multiphysics: Modelling Complex Systems with Particle Methods"
English | ISBN: 3036522131 | 2021 | 262 pages | PDF | 8 MB
Particle methods have proven their versatility and effectiveness in a variety of applications, ranging from the modelling of molecules to the simulation of galaxies. Their power is amplified when they are coupled within a discrete multiphysics framework. Moreover, particle methods also couple extremely well (better than mesh-based algorithms) with artificial neural networks, as recent studies on deep multiphysics show.

Free Download Markov Decision Processes: Discrete Stochastic Dynamic Programming by Martin L. Puterman
English | PDF | 1994 | 665 Pages | ISBN : 0471619779 | 27.35 MB
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

Bartsekas D Network Optimization Continuous and Discrete Models 1998 | 37.14 MB
English | 585 Pages

Title: Network Optimization: Continuous and Discrete Models (Optimization, Computation, and Control)
Author: Dimitri P. Bertsekas
Year: 1998

Michael O. Albertson, "Discrete Mathematics With Algorithms"
English | ISBN: 0471849022 | | 560 pages | DJVU | 3 MB
This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in English, in a format compatible with the Pascal programming language. Contains many exercises, with answers at the back of the book (detailed solutions being supplied for difficult problems).

Economic Dynamics in Discrete Time by Jianjun Miao
English | March 3, 2020 | ISBN: 0262043629 | 848 pages | PDF (Converted) | 75 Mb
A unified and comprehensive introduction to the analytical and numerical tools for solving dynamic economic problems; substantially revised for the second edition.