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Euclidean Shortest Paths: Exact or Approximate Algorithms
Euclidean Shortest Paths: Exact or Approximate Algorithms

This unique text/reference reviews algorithms for the exact or approximate solution of shortest-path problems, with a specific focus on a class of algorithms called rubberband algorithms. Discussing each concept and algorithm in depth, the book includes mathematical proofs for many of the given statements. Topics and features: provides...

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and...

Discrete Mathematics With Algorithms
Discrete Mathematics With Algorithms
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...
Computer-Aided Intelligent Recognition Techniques and Applications
Computer-Aided Intelligent Recognition Techniques and Applications
Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification.

...

A Computational Introduction to Number Theory and Algebra
A Computational Introduction to Number Theory and Algebra
"This is an outstanding and well-written book whose aim is to introduce the reader to a broad range of material -- ranging from basic to relatively advanced -- without requiring any prior knowledge on the part of the reader other than calculus and mathematical maturity. That the book succeeds at this goal is quite an accomplishment! ...this...
Space Division Multiple Access for Wireless Local Area Networks (Engineering and Computer Science)
Space Division Multiple Access for Wireless Local Area Networks (Engineering and Computer Science)
The tendency towards more mobility and flexibility favors wireless networks for future broadband services, especially in local area and residential networks. Two major challenges in developing such high data-rate wireless networks are the channel distortion caused by multipath propagation and the limitations on bandwidth usage. In this book,...
Visualization in Medicine: Theory, Algorithms, and Applications (The Morgan Kaufmann Series in Computer Graphics)
Visualization in Medicine: Theory, Algorithms, and Applications (The Morgan Kaufmann Series in Computer Graphics)
Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It...
Software Architectures and Tools for Computer Aided Process Engineering, Volume 11
Software Architectures and Tools for Computer Aided Process Engineering, Volume 11
The idea of editing a book on modern software architectures and tools for CAPE (Computer Aided Process Engineering) came about when the editors of this volume realized that existing titles relating to CAPE did not include references to the design and development of CAPE software.

Scientific software is needed to solve CAPE related
...
Principles of Data Mining (Undergraduate Topics in Computer Science)
Principles of Data Mining (Undergraduate Topics in Computer Science)
Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.

This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering. It is written for readers without...

Fuzzy Control Systems
Fuzzy Control Systems
Must reading for anyone interested in acquiring a thorough understanding of fuzzy logic, its role in soft computing, and its application to control and related fields.

-Lotfi A. Zadeh
From the Foreword

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The
...
Math Toolkit for Real-Time Programming
Math Toolkit for Real-Time Programming
Do big math on small machines Write fast and accurate library functions Master analytical and numerical calculus Perform numerical integration to any order Implement z-transform formulas Need to learn the ins and outs of the fundamental math functions in

Master analytical and numerical calculus with
...
Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)
Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Modeling problems in this book are addressed mainly from the computational viewpoint. The primary concerns are how to define an objective function for the optimal solution to a image analysis or computer vision problem and how to find the optimal solution. The solution is defined in an optimization sense because the perfect solution is...

unlimited object storage image
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