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Methods in Algorithmic Analysis

enhanced by a large selection of examples and exercises Developed from the author's own graduate-level course, Methods in Algorithmic Analysis;

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Methods in Algorithmic Analysis

enhanced by a large selection of examples and exercises Developed from the author's own graduate-level course, Methods in Algorithmic Analysis;

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Probabilistic Methods for Algorithmic Discrete Mathematics

together, for the first time, accessible discus sions of the disparate ways in which probabilistic ideas are enriching discrete mathematics. These;

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Discrete Mathematics PNIE

For a one- or two-term introductory course in discrete mathematics. Focused on helping students understand and construct proofs and;

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Discrete Mathematics and Graph Theory

about 40% of this textbook is devoted to graph theory. The text follows an algorithmic approach for discrete mathematics and graph;

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Probabilistic Method 4Th Edi

Fourth Edition is also an excellent reference for researchers and combinatorists who use probabilistic methods, discrete mathematics, and number;

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Algorithmic Aspects of Graph Connectivity

Algorithmic Aspects of Graph Connectivity is the first comprehensive book on this central notion in graph and network theory, emphasizing;

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Algorithmic Aspects of Graph Connectivity

Algorithmic Aspects of Graph Connectivity is the first comprehensive book on this central notion in graph and network theory, emphasizing;

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Semantics of Probabilistic Processes

algorithmic perspectives. Besides presenting recent research outcomes in probabilistic concurrency theory, the book exemplifies the use of many;

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Computational Discrete Mathematics

comprehensive software available for teaching and research applications of discrete mathematics, particularly combinatorics and graph theory. This book;

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Modern Discrete Mathematics and Analysis

and information security, in order to explore new techniques, methods, and problems for further investigation. Distinguished researchers and;

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Submodular Functions and Optimization

in optimization, combinatorics, discrete mathematics, algorithmic computer science, and algorithmic economics, and there have been made remarkable;

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Discrete Mathematics (Classic Version)

integration of the computer into virtually every aspect of modern society. Intended for a one-semester introductory course, the strong algorithmic;

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Probabilistic Forecasting and Bayesian Data Assimilation

In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead;

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Probabilistic Forecasting and Bayesian Data Assimilation

In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead;

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An Invitation to Discrete Mathematics

studying mathematics is the cultivation of clear and logical thinking and habits useful for attacking new problems. More than 400 enclosed;

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Invitation to Discrete Mathematics

habits useful for attacking new problems. More than 400 enclosed exercises with a wide range of difficulty, many of them accompanied by hints for;

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Discrete Mathematics and Its Applications

analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the;

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Discrete Mathematics And Its Applications

analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the;

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Discrete Mathematics and Its Applications

analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the;

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Inverse Problem Theory and Methods for Model Parameter Estimation

algorithmic details for Monte Carlo methods, least-squares discrete problems, and least-squares problems involving functions. In addition, some;

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Discrete Math & Its Applications

analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the;

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Discrete Mathematics and Applications

Advances in discrete mathematics are presented in this book with applications in theoretical mathema;...

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Surveys in Applied Mathematics

analyzes nonlinear front propagation for a large class of semi-linear partial differential equations using probabilistic methods. Particle and Wave;

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Discrete Algorithmic Mathematics

computational biology. Written in a lively, clear style that talks to the reader, the book is unique for its emphasis on algorithmics and the inductive;

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Foundations of the Formal Sciences VI: Probabilistic Reasoning and Reasoning with Probabilities

Probabilistic methods are increasingly becoming an important tool in a variety of disciplines including computer science, mathematics;

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Discrete Mathematics for Computer Science

Discrete Mathematics for Computer Science: An Example-Based Introduction is intended for a first- or second-year discrete mathematics;

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