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Fundamentals of Algorithmics

This is an introductory-level algorithm text which includes worked examples and detailed proofs, presenting algorithms by type rather than;

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Fundamentals Of Algorithmics

This is an introductory-level algorithm text which includes worked examples and detailed proofs, presenting algorithms by type rather than;

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Building Proofs

This book introduces students to the art and craft of writing proofs, beginning with the basics of writing proofs and logic, and continuing;

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Introduction to Lattice Theory with Computer Science Applications

A computational perspective on partial order and lattice theory, focusing on algorithms and their applications This book provides a uniform;

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Computer Arithmetic and Formal Proofs

limited range and precision, its use can become quite involved and potentially lead to numerous failures. One way to greatly increase confidence;

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Distributed Computing

This introduction to the mathematical foundations and theory of distributed computing is theoretical in nature, describing algorithms and;

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Proofs and Algorithms

Logic is a branch of philosophy, mathematics and computer science. It studies the required methods to determine whether a statement is true;

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Discrete Mathematics and Applications

Discrete Mathematics and Applications, Second Edition is intended for a one-semester course in discrete mathematics. Such a course;

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Discrete Mathematics and Applications

Discrete Mathematics and Applications, Second Edition is intended for a one-semester course in discrete mathematics. Such a course;

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Algorithms on Strings

The book is intended for lectures on string processes and pattern matching in Master's courses of computer science and software engineering;

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Robust Adaptive Controls

This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide;

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Advances in Applied Combinatorics

theory, derangements, partitions, linear recurrences, graph algorithms and permutation groups, to give a far-fetched insight on applied;

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Introduction to Unconstrained Optimization with R

, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs.;

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Algorithms on Trees and Graphs

Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, such as;

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Elements of Distributed Algorithms

Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control;

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Bounds for Monotone Algorithms

In the first part "Mechanism Design and Monotone Algorithms," the motivating question is whether the results on truthful mechanisms;

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Consensus Problem of Delayed Linear Multi-agent Systems

asynchronously coupled and synchronously coupled consensus algorithms respectively. Moreover, constructive consensus algorithms that tolerate larger;

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Approximation Algorithms

and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas;

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Approximation Algorithms

and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas;

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Planar Graph Drawing

The book presents the important fundamental theorems and algorithms on planar graph drawing with easy-to-understand and constructive proofs;

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Graph Theory with Algorithms and its Applications

The book has many important features which make it suitable for both undergraduate and postgraduate students in various branches;

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Advances in Cryptology ASIACRYPT 2017

The three-volume set LNCS 10624, 10625, 10626 constitutes the refereed proceedings of the 23rd International Conference on the Theory and;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Quantum Algorithms via Linear Algebra

Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background;

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Foundations Of Machine Learning

Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms;

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Distributed Algorithms

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation. This book;

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