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Random Generation Of Tree Data Structures
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Book Synopsis Random Generation of Trees by : Laurent Alonso
Download or read book Random Generation of Trees written by Laurent Alonso and published by Springer Science & Business Media. This book was released on 1994-12-31 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random Generation of Trees is about a field on the crossroads between computer science, combinatorics and probability theory. Computer scientists need random generators for performance analysis, simulation, image synthesis, etc. In this context random generation of trees is of particular interest. The algorithms presented here are efficient and easy to code. Some aspects of Horton--Strahler numbers, programs written in C and pictures are presented in the appendices. The complexity analysis is done rigorously both in the worst and average cases. Random Generation of Trees is intended for students in computer science and applied mathematics as well as researchers interested in random generation.
Download or read book Random Trees written by Michael Drmota and published by Springer Science & Business Media. This book was released on 2009-04-16 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide a thorough introduction to various aspects of trees in random settings and a systematic treatment of the mathematical analysis techniques involved. It should serve as a reference book as well as a basis for future research.
Book Synopsis Algorithms and Data Structures by : Frank Dehne
Download or read book Algorithms and Data Structures written by Frank Dehne and published by Springer Science & Business Media. This book was released on 1991-07-24 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Second Workshop on Algorithms and Data Structures (WADS '91), held at Carleton University in Ottawa. The workshop was organized by the School of Computer Science at Carleton University. The workshop alternates with the Scandinavian Workshop on Algorithm Theory (SWAT), continuing the tradition of SWAT '88 (LNCS, Vol. 318), WADS '89 (LNCS, Vol. 382), and SWAT '90 (LNCS, Vol. 447). From 107 papers submitted, 37 were selected for presentation at the workshop. In addition, there were 5 invited presentations.
Book Synopsis Decision Science by : Ann Van Ackere
Download or read book Decision Science written by Ann Van Ackere and published by Routledge. This book was released on 2017-11-01 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title was first published in 2000. This text is part of the "International Library of Management", which aims to present a comprehensive core reference series comprised of significant and influencial articles by the authorities in the management studies field. The collection of essays is both international and interdisciplinary in scope and aims to provide an entry point for investigating the myriad of study within the discipline.
Download or read book Data Structures written by and published by PediaPress. This book was released on with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Lie Groups and Lie Algebras I by : V.V. Gorbatsevich
Download or read book Lie Groups and Lie Algebras I written by V.V. Gorbatsevich and published by Springer Science & Business Media. This book was released on 1996-12-18 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "..., the book must be of great help for a researcher who already has some idea of Lie theory, wants to employ it in his everyday research and/or teaching, and needs a source for customary reference on the subject. From my viewpoint, the volume is perfectly fit to serve as such a source, ... On the whole, it is quite a pleasure, after making yourself comfortable in that favourite office armchair of yours, just to keep the volume gently in your hands and browse it slowly and thoughtfully; and after all, what more on Earth can one expect of any book?" --The New Zealand Mathematical Society Newsletter
Book Synopsis Genetic Programming and Data Structures by : William B. Langdon
Download or read book Genetic Programming and Data Structures written by William B. Langdon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.
Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.
Book Synopsis Introduction to Program Design and Data Structures by : Thomas L. Naps
Download or read book Introduction to Program Design and Data Structures written by Thomas L. Naps and published by . This book was released on 1993 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Structures the Fun Way by : Jeremy Kubica
Download or read book Data Structures the Fun Way written by Jeremy Kubica and published by No Starch Press. This book was released on 2022-11-08 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how and when to use the right data structures in any situation, strengthening your computational thinking, problem-solving, and programming skills in the process. This accessible and entertaining book provides an in-depth introduction to computational thinking through the lens of data structures — a critical component in any programming endeavor. You’ll learn how to work with more than 15 key data structures, from stacks, queues, and caches to bloom filters, skip lists, and graphs. You’ll also master linked lists by virtually standing in line at a cafe, hash tables by cataloging the history of the summer Olympics, and Quadtrees by neatly organizing your kitchen cabinets, all while becoming familiar with basic computer science concepts, like recursion and running time analysis.
Book Synopsis Handbook of Data Structures and Applications by : Dinesh P. Mehta
Download or read book Handbook of Data Structures and Applications written by Dinesh P. Mehta and published by Taylor & Francis. This book was released on 2018-02-21 with total page 1928 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition. The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
Book Synopsis The Algorithm Design Manual: Text by : Steven S. Skiena
Download or read book The Algorithm Design Manual: Text written by Steven S. Skiena and published by Springer Science & Business Media. This book was released on 1998 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide.THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains:* a complete hypertext version of the full printed book.* the source code and URLs for all cited implementations.* over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.
Book Synopsis Advances in Knowledge Discovery and Data Mining by : Thanaruk Theeramunkong
Download or read book Advances in Knowledge Discovery and Data Mining written by Thanaruk Theeramunkong and published by Springer. This book was released on 2009-04-21 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.
Book Synopsis Design of Heuristic Algorithms for Hard Optimization by : Éric D. Taillard
Download or read book Design of Heuristic Algorithms for Hard Optimization written by Éric D. Taillard and published by Springer Nature. This book was released on 2022-10-29 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a wealth of illustrations that allow the concepts to be understood at a glance. The book approaches the main metaheuristics from a new angle, deconstructing them into a few key concepts presented in separate chapters: construction, improvement, decomposition, randomization and learning methods. Each metaheuristic can then be presented in simplified form as a combination of these concepts. This approach avoids giving the impression that metaheuristics is a non-formal discipline, a kind of cloud sculpture. Moreover, it provides concrete applications of the travelling salesman problem, which illustrate in just a few lines of code how to design a new heuristic and remove all ambiguities left by a general framework. Two chapters reviewing the basics of combinatorial optimization and complexity theory make the book self-contained. As such, even readers with a very limited background in the field will be able to follow all the content.
Book Synopsis Foundations of Multidimensional and Metric Data Structures by : Hanan Samet
Download or read book Foundations of Multidimensional and Metric Data Structures written by Hanan Samet and published by Morgan Kaufmann. This book was released on 2006-08-08 with total page 1023 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description
Book Synopsis C++ Plus Data Structures by : Nell B. Dale
Download or read book C++ Plus Data Structures written by Nell B. Dale and published by Jones & Bartlett Learning. This book was released on 2003 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science
Book Synopsis Fostering Pedagogy Through Micro and Adaptive Learning in Higher Education: Trends, Tools, and Applications by : Queirós, Ricardo
Download or read book Fostering Pedagogy Through Micro and Adaptive Learning in Higher Education: Trends, Tools, and Applications written by Queirós, Ricardo and published by IGI Global. This book was released on 2023-08-14 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fostering Pedagogy Through Micro and Adaptive Learning in Higher Education: Trends, Tools, and Applications is a timely and groundbreaking book that addresses the challenges of engaging the digital generations in the teaching-learning process, intensified by the pandemic. Written by Ricardo Queirós, a renowned researcher in e-learning interoperability and programming languages, the book offers a unique perspective on using micro and adaptive learning approaches to create immersive and personalized environments that cater to the learning styles and paces of diverse students. The book covers innovative trends, tools, and applications that enable educators to implement pedagogical practices that enhance the teaching-learning experience. It explores topics such as artificial intelligence in education, adaptive hypermedia, differentiated instruction, and micro-gamification design, providing readers with practical tools to create personalized and immersive learning environments. This book is a valuable resource for professors of any domain, practitioners, and students pursuing education, as well as research scholars looking to expand their understanding of e-learning and pedagogical innovation. It is a must-read for anyone interested in the future of education and how digital technologies can be leveraged to create engaging and immersive learning environments.
