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Introduction to Partial Differential Equations (Undergraduate Texts in Mathematics)
Introduction to Partial Differential Equations (Undergraduate Texts in Mathematics)

This textbook is designed for a one year course covering the fundamentals of partial differential equations, geared towards advanced undergraduates and beginning graduate students in mathematics, science, engineering, and elsewhere. The exposition carefully balances solution techniques, mathematical rigor, and significant applications, all...

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical...
WALCOM: Algorithms and Computation: 13th International Conference, WALCOM 2019, Guwahati, India, February 27 – March 2, 2019, Proceedings (Lecture Notes in Computer Science (11355))
WALCOM: Algorithms and Computation: 13th International Conference, WALCOM 2019, Guwahati, India, February 27 – March 2, 2019, Proceedings (Lecture Notes in Computer Science (11355))

This book constitutes the proceedings of the 13th International Conference and Workshop on Algorithms and Computation, WALCOM 2019, held in Guwahati, India, in February/ March 2019.

The 30 full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical headings on the...

Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
The area of similarity searching is a very hot topic for both research and commercial applications. Current data processing applications use data with considerably less structure and much less precise queries than traditional database systems. Examples are multimedia data like images or videos that offer queryby-example search, product catalogs...
Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)
Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the...

Selected Topics in Approximation and Computation (International Series of Monographs on Computer Science)
Selected Topics in Approximation and Computation (International Series of Monographs on Computer Science)
". . .well written and well organized. . .It contains many exercises and can be used as a textbook in an advanced course on topics in approximation theory. . . .The book has a nice blend of theory and applications and should make a valuable reference book to researchers as well as teachers."--Mathematical Reviews

"The
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Meshing, Geometric Modeling and Numerical Simulation, Volume 2: Metrics, Meshes and Mesh Adaptation (Geometric Modeling and Applications)
Meshing, Geometric Modeling and Numerical Simulation, Volume 2: Metrics, Meshes and Mesh Adaptation (Geometric Modeling and Applications)

Triangulations, and more precisely meshes, are at the heart of many problems relating to a wide variety of scientific disciplines, and in particular numerical simulations of all kinds of physical phenomena. In numerical simulations, the functional spaces of approximation used to search for solutions are defined from meshes, and in...

A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable expressive power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to...
Python Algorithms: Mastering Basic Algorithms in the Python Language
Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving...

Combinatorics, Automata and Number Theory (Encyclopedia of Mathematics and its Applications)
Combinatorics, Automata and Number Theory (Encyclopedia of Mathematics and its Applications)

This collaborative volume presents recent trends arising from the fruitful interaction between the themes of combinatorics on words, automata and formal language theory, and number theory. Presenting several important tools and concepts, the authors also reveal some of the exciting and important relationships that exist between these...

Differential Equations and Control Theory
Differential Equations and Control Theory
This volume is based on papers presented at the International Workshop on Differential Equations and Optimal Control, held at the Department of Mathematics of Ohio University in Athens, Ohio. The main objective of this international meeting was to feature new trends in the theory and applications of partial differential and functional-differential...
Challenges for Computational Intelligence (Studies in Computational Intelligence)
Challenges for Computational Intelligence (Studies in Computational Intelligence)
In the year 1900 at the International Congress of Mathematicians in Paris David Hilbert delivered what is now considered the most important talk ever given in the history of mathematics. In this talk Hilbert outlined his philosophy of mathematics and proposed 23 major problems worth working at in future. Some of these problems were in fact more...
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