Fundamentals of Algorithms

This book introduces the practical treatment of inverse problems by means of numerical methods. It includes tutorial exercises and examples which illustrate the theory and algorithms. It is suitable f

Whenever images taken at different times, from different viewpoints, and/or by different sensors need to be compared, merged, or integrated, image registration is required. Registration, also known as

This concise and comprehensive treatment of the basic theory of algebraic Riccati equations describes the classical as well as the more advanced algorithms for their solution. Its approach is accessib

This comprehensive textbook describes and analyzes all available alternating projection methods for solving the general problem of finding a point in the intersection of several given sets that belong

A frequent feature of numerical partial and ordinary differential equations, numerical solutions of convolution-type integral equations, stationary retrogressive time series in statistics, minimal rea

“The sparse backslash book.” “Everything you wanted to know but never dared to ask about modern direct linear solvers.” — Chen Greif, Assistant Professor, Department of Computer Science, University of

Elden (numerical analysis, Linkoping U.) uses as examples handwritten digits, text summarization, pagerank computations made famous by a certain very popular search engine (the name of which is now us

Any engineer or scientist taking part in a computational project or involved in any computational science and engineering academic program will benefit from this book. Because the examples area is so

Hansen (scientific computing, Technical U. of Denmark), Nagy (mathematics and computer science, Emory U., US), and O'Leary (computer science, U. of Maryland, US) explain the linear algebra underlying

Effectively perform and interpret MR body imaging with this concise, highly illustrated resource! Fundamentals of Body MRI, 3rd Edition, covers the essential concepts residents, fellows, and practitioners need to know, laying a solid foundation for understanding the basics and making accurate diagnoses. This easy-to-use title covers all common body MR imaging indications and conditions, while providing new content on body MRI emergencies, physics, and noninterpretive skills with an emphasis on quality and safety. Covers all common body MR imaging content, along with discussion of how physics, techniques, hardware, and artifacts affect results-all summarized in an easy-to-read format with practical applications throughoutFeatures more than 1,600 detailed MRI images and 100 algorithms and diagrams that highlight key findings and help you grasp visual nuances of images you’re likely to encounterContains extensively revised content on liver lesions, including new coverage on LI-RADS system

Robert Sedgewick's Algorithms series has earned a place among the classics of computer books. Algorithms in C++ provides a comprehensive collection of classic algorithms for sorting, searching, parsin

Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of

Discover the benefits of applying algorithms to solve scientific, engineering, and practical problems Providing a combination of theory, algorithms, and simulations, Handbook of Applied Algorithms pr

Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of

A friendly and accessible introduction to the most useful algorithmsComputer algorithms are the basic recipes for programming. Professional programmers need to know how to use algorithms to solve di

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validi

This book covers the theory, history, mathematics, and applications of evolutionary optimization algorithms. Most of these algorithms are motivated by biological processes. The algorithms that are dis

Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms h

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unif

Many physicists are not aware of the fact that they can solve their problems by applying optimization algorithms. Since the number of such algorithms is steadily increasing, many new algorithms have n

Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithm

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimiza

Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exerc

Algorithms For Dummies addresses people who are interested in algorithms without requiring them to pursue a PhD on the subject. The idea is that we already live in a world where algorithms are behind

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 e