Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and ...
This title covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The ...
Mark Allen Weiss' innovative approach to algorithms and data structures teaches the simultaneous development of sound analytical and programming skills for the advanced data structures course. Readers learn how to reduce time constraints and develop programs efficiently by analyzing the feasibility of an algorithm before it is coded. The C++ ...
This is a fundamental data structures in a consistent object oriented framework. Now revised to reflect the innovations of Java 5.0, Goodrich and Tamassia's Fourth Edition of "Data Structures and Algorithms in Java" continues to offer accessible coverage of fundamental data structures, using a consistent object oriented framework. The authors ...
'...The most comprehensive guide to designing practical and efficient algorithms!..."The Algorithm Design Manual, Second Edition"...the book is an algorithm-implementation treasure trove, and putting all of these implementations in one place was no small feat. The list of implementations [and] extensive bibliography make the book an invaluable ...
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 to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable ...
The best selling 'Algorithmics' presents the most important, concepts, methods and results that are fundamental to the science of computing. It starts by introducing the basic ideas of algorithms, including their structures and methods of data manipulation. It then goes on to demonstrate how to design accurate and efficient algorithms, and ...
As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java. A full language update to Java 5.0 throughout the text--particularly its use of generics-adds ...
Drawing upon combined decades of teaching experience, Professors Sara Baase and Allen Van Gelder have extensively revised this best seller to make it the most current and accessible choice for any algorithms course. The new Third Edition features the addition of new topics and exercises and an increased emphasis on algorithm design techniques such ...
Written by top researchers, this text blends theory and practice. It covers the modern topics of parallel algorithms, concurrency and recurrency. A McGraw-Hill/MIT Press collaboration, the text is designed for both the instructor and the student. It offers a flexible organization with self-contained chapters, and it provides an introduction to the ...
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a truly innovative manner. Written in a student-friendly style, the book encourages broad problem-solving skills while thoroughly covering the material required in ...
The purpose of this textbook, primarily aimed at first-year undergraduates in Programming, is, firstly, to teach students how to write a correct program, together with the proof of its correctness; and secondly, to show several basic methods of constructing effective algorithms. A well-structured problem/solution format is used, and the theory is ...
Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. The text also includes an introduction to object-oriented ...
This update of the popular book on computer architecture presents design ideas embodied in many high-performance machines and stresses techniques for evaluating them. Stone develops a proper understanding of the design process by treating the various trade-offs that exist in designing choices, and shows how good designs make efficient use of ...
Highlights three important aspects of data structures and algorithms. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing or maintenance of virtually any software system.
For upper-level undergraduate and graduate courses in algorithms. Filling the void left by other algorithms books, Algorithms and Data Structures provides an approach that emphasizes design techniques. The text includes application of algorithms, examples, end-of-section exercises, end-of-chapter exercises, hints and solutions to selected ...
Appropriate for a sophomore/junior level second course in data structures and algorithms analysis (CS7) in departments of Computer Science. This book thoroughly covers key data structures at the undergraduate level. With a focus on how to assess costs and benefits, it teaches students how to create efficient data structures and algorithms and how ...
A shrinkwrapped bundle of Fascicles 0-4 of Knuth's Volume 4, arguably the most influential work ever written on computer programming * These five fascicles comprise roughly the first 30% of the long-awaited Volume 4 of The Art of Computer Programming * Suggested list price is $10 off the price of buying them individually * These fascicles ...
This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithms development. The heart of this creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to ...
This is a collection of algorithms implemented in the C++ language for an object-oriented programming (OOP) environment. They cover a broad range of fundamental and advanced methods, such as sorting, searching, string-processing, geometric, graph, and mathematical algorithms.
Computer algebra systems are gaining importance in all areas of science and engineering. This textbook gives a thorough introduction to the algorithmic basis of the mathematical engine in computer algebra systems. It is designed to accompany one- or two-semester courses for advanced undergraduate or graduate students in computer science or ...
The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal.
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 applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick ...
From the inventor of Pascal and Modula-2 comes a new version of Niklaus Wirth's classic work, Algorithms Plus Data Structure Equals Programs (PH, l975). This title uses Modula-2 and includes new material on sequential structure, searching and priority search trees.
This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
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