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Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis, combinatorics, algorithms, and data structures. They emphasize the mathematics needed to support scientific studies that can serve as the basis for predicting algorithm performance and for comparing different algorithms on the basis of performance. Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. Numerous examples are included throughout to illustrate applications to the analysis of algorithms that are playing a critical role in the evolution of our modern computational infrastructure. Improvements and additions in this new edition include Upgraded figures and code An all-new chapter introducing analytic combinatorics Simplified derivations via analytic combinatorics throughout The book’s thorough, self-contained coverage will help readers appreciate the field’s challenges, prepare them for advanced results—covered in their monograph Analytic Combinatorics and in Donald Knuth’s The Art of Computer Programming books—and provide the background they need to keep abreast of new research. "[Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways." —From the Foreword by Donald E. Knuth
Part of the new Digital Filmmaker Series! Digital Filmmaking: An Introductionis the first book in the newDigital Filmmaker Series. Designed for an introductory level course in digital filmmaking, it is intended for anyone who has an interest in telling stories with pictures and sound and won't assume any familiarity with equipment or concepts on the part of the student. In addition to the basics of shooting and editing, different story forms are introduced from documentary and live events through fictional narratives. Each of the topics is covered in enough depth to allow anyone with a camera and a computer to begin creating visual projects of quality.
240+ Real Java Interview Questions on Core Java, Threads and Concurrency, Algorithms, Data Structures, Design Patterns, Spring, Hibernate, Puzzles & Sample Interview Questions for Investment Banks, HealthCare IT, Startups, Product and Service based companies. This book is ideal if you are preparing for Java Job Interview in Indian Market.Topics Covered in eBook Core Java (Collections, Concurrency & multi-threading, Lambda, Stream & Generics) Hibernate & Spring Problems Object Oriented Design Problems. Data structure and Algorithm problems This book tries to fill in the knowledge gaps for Java developers appearing for interviews in investment banking domain (RBS, BlackRock, UBS, Morgan Stanley, CitiGroup, Credit Suisse, Barclays Capital, Goldman, J.P. Morgan, Bank of America & Nomura, HSBC), product company (Oracle, Adobe, Markit), or service sector companies (Wipro, Infosys, HCL, Sapient, TCS). This book contains collection of Java related questions which are considered important for the interview preparation. A fair try has been given to address the Question, otherwise references has been provided for in depth study.
This book is published open access under a CC BY 4.0 license. It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures. The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.
Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multipurpose machines are discussed. The method used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for the different classes of deterministic scheduling problems are updated and summarized. Also the references are updated.
The only book to provide a unified view of the interplay betweencomputational number theory and cryptography Computational number theory and modern cryptography are two ofthe most important and fundamental research fields in informationsecurity. In this book, Song Y. Yang combines knowledge of thesetwo critical fields, providing a unified view of the relationshipsbetween computational number theory and cryptography. The authortakes an innovative approach, presenting mathematical ideas first,thereupon treating cryptography as an immediate application of themathematical concepts. The book also presents topics from numbertheory, which are relevant for applications in public-keycryptography, as well as modern topics, such as coding and latticebased cryptography for post-quantum cryptography. The authorfurther covers the current research and applications for commoncryptographic algorithms, describing the mathematical problemsbehind these applications in a manner accessible to computerscientists and engineers. Makes mathematical problems accessible to computer scientistsand engineers by showing their immediate application Presents topics from number theory relevant for public-keycryptography applications Covers modern topics such as coding and lattice basedcryptography for post-quantum cryptography Starts with the basics, then goes into applications and areasof active research Geared at a global audience; classroom tested in North America,Europe, and Asia Incudes exercises in every chapter Instructor resources available on the book’s CompanionWebsite Computational Number Theory and Modern Cryptography isideal for graduate and advanced undergraduate students incomputer science, communications engineering, cryptography andmathematics. Computer scientists, practicing cryptographers, andother professionals involved in various security schemes will alsofind this book to be a helpful reference.

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