Search Algorithms And Applications
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Search Algorithms And Applications
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Author : Nashat Mansour
language : en
Publisher:
Release Date : 2011
Search Algorithms And Applications written by Nashat Mansour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a sub-structure of a given discrete structure. In addition, there are search algorithms, mostly probabilistic, that are designed for the prospective quantum computer. This book demonstrates the wide applicability of search algorithms for the purpose of developing useful and practical solutions to problems that arise in a variety of problem domains. Although it is targeted to a wide group of readers: researchers, graduate students, and practitioners, it does not offer an exhaustive coverage of search algorithms and applications. The chapters are organized into three parts: Population-based and quantum search algorithms, Search algorithms for image and video processing, and Search algorithms for engineering applications.
State Space Search
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Author : Weixiong Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
State Space Search written by Weixiong Zhang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
This book is particularly concerned with heuristic state-space search for combinatorial optimization. Its two central themes are the average-case complexity of state-space search algorithms and the applications of the results notably to branch-and-bound techniques. Primarily written for researchers in computer science, the author presupposes a basic familiarity with complexity theory, and it is assumed that the reader is familiar with the basic concepts of random variables and recursive functions. Two successful applications are presented in depth: one is a set of state-space transformation methods which can be used to find approximate solutions quickly, and the second is forward estimation for constructing more informative evaluation functions.
Algorithms And Applications For Academic Search Recommendation And Quantitative Association Rule Mining
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Author : Emmanouil Amolochitis
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Algorithms And Applications For Academic Search Recommendation And Quantitative Association Rule Mining written by Emmanouil Amolochitis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Technology & Engineering categories.
Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper's index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results. The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.
The Fundamentals Of Search Algorithms
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Author : Robert A. Bohm (Computer scientist)
language : en
Publisher:
Release Date : 2021
The Fundamentals Of Search Algorithms written by Robert A. Bohm (Computer scientist) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Algorithms categories.
"Heuristic local search algorithms are used to find "good" solutions to the NP-hard combinatorial optimization problems that cannot be solved using analytical methods. Chapter one discusses the characterization and computation of heuristic local search algorithm for the Traveling Salesman Problem (TSP) from the perspective of dynamical systems. The purpose of chapter 2 is to show the practical application of CBIR technology in the security and protection of personal data, access to classified documents and objects, identification of illegal attacks that are part of the social life of the present and future of mankind. Continuous search space problems are difficult problems to solve because the number of solutions is infinite. Moreover, the search space gets more complex as we add constraints to the problem. In this context, chapter 3 aims to show the usage of the differential evolution algorithm for solving continuous search space problems using unconstrained functions and a constrained real-world problem"--
Stochastic Local Search
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Author : Holger H. Hoos
language : en
Publisher: Elsevier
Release Date : 2004-09-28
Stochastic Local Search written by Holger H. Hoos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-28 with Computers categories.
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics. Hoos and Stützle offer the first systematic and unified treatment of SLS algorithms. In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool. Provides the first unified view of the field Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms A companion website offers lecture slides as well as source code and Java applets for exploring and demonstrating SLS algorithms
Search Algorithms And Applications
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Author : Nashat Mansour
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-04-26
Search Algorithms And Applications written by Nashat Mansour and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-26 with Computers categories.
Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a sub-structure of a given discrete structure. In addition, there are search algorithms, mostly probabilistic, that are designed for the prospective quantum computer. This book demonstrates the wide applicability of search algorithms for the purpose of developing useful and practical solutions to problems that arise in a variety of problem domains. Although it is targeted to a wide group of readers: researchers, graduate students, and practitioners, it does not offer an exhaustive coverage of search algorithms and applications. The chapters are organized into three parts: Population-based and quantum search algorithms, Search algorithms for image and video processing, and Search algorithms for engineering applications.
Search Algorithm
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-28
Search Algorithm written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Computers categories.
What Is Search Algorithm In the field of computer science, an algorithm that is designed to solve a search problem is referred to as a search algorithm. Search algorithms are designed to retrieve information that is either saved inside of a certain data structure or calculated within the search space of a problem domain. This information can have either discrete or continuous values. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Search Algorithm Chapter 2: Linear Search Chapter 3: Binary Search Algorithm Chapter 4: Depth-First Search Chapter 5: Breadth-First Search Chapter 6: Best-First Search Chapter 7: A* Search Algorithm Chapter 8: Hill Climbing Chapter 9: Simulated Annealing Chapter 10: Genetic Algorithm (II) Answering the public top questions about search algorithm. (III) Real world examples for the usage of search algorithm in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of search algorithm' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of search algorithm.
Search Algorithms
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Author : Rex Porbasas Flejoles
language : en
Publisher: Arcler Press
Release Date : 2018-12
Search Algorithms written by Rex Porbasas Flejoles and has been published by Arcler Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12 with Computers categories.
The truthfully worldwide influence of the Web has instigated a new awareness among computer engineers and laymen alike of the massive importance of search engines' usability along with user interface designs. In the last two decades, the underlying phenomena and principles of search interfaces and search engines have been explored extensively. Numerous researchers and computer scientists have developed a variety of innovative interface system designs; however, only the most widely acceptable succeed in making their way into major search engines. This book comprehensively attempts to encapsulate these advances, offering the state of the art of algorithms, for both academic and commercial perspectives. The basic objective of the search algorithms is to find solutions with particular characteristics and under certain set of constraints. A solution may entail the value assignments to different variables which will satisfy the sub-structure or constraints in a given discrete architecture. Additionally, there are a substantial number search algorithms (e.g., probabilistic), which are designed for the potential quantum computers. This book illustrates the broad applicability of fundamental search algorithms for the intention of establishing practical solutions to various problems which arise in a range of problem domains. This book is meant for a wide range of reader which include researchers, students, practitioners and computer scientists. The chapters of this book are mainly structured into three parts which include topics on fundamentals of search algorithms, different types of search algorithms and applications of search algorithms in different sectors. The field of search algorithms is a rapidly-changing field, and any effort to summarize the develop ments in this area will be proven obsolete in future. However, certain techniques and principles seem to hold stable over the decades, and this book contain substantial information regarding the search algorithms which should stand valid for decades to come. Book jacket.
Dynamical Search
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Author : Luc Pronzato
language : en
Publisher: CRC Press
Release Date : 1999-08-27
Dynamical Search written by Luc Pronzato and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-08-27 with Mathematics categories.
Certain algorithms that are known to converge can be renormalized or "blown up" at each iteration so that their local behavior can be seen. This creates dynamical systems that we can study with modern tools, such as ergodic theory, chaos, special attractors, and Lyapounov exponents. Furthermore, we can translate the rates of convergence into less studied exponents known as Renyi entropies. This all feeds back to suggest new algorithms with faster rates of convergence. For example, in line-search, we can improve upon the Golden Section algorithm with new classes of algorithms that have their own special-and sometimes chaotic-dynamical systems. The ellipsoidal algorithms of linear and convex programming have fast, "deep cut" versions whose dynamical systems contain cyclic attractors. And ordinary steepest descent has, buried within, a beautiful fractal that controls the gateway to a special two-point attractor. Faster "relaxed" versions exhibit classical period doubling. Dynamical Search presents a stimulating introduction to a brand new field - the union of dynamical systems and optimization. It will prove fascinating and open doors to new areas of investigation for researchers in both fields, plus those in statistics and computer science.
Computer Search Algorithms
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Author : Elisabeth C. Salander
language : en
Publisher:
Release Date : 2011
Computer Search Algorithms written by Elisabeth C. Salander and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computer algorithms categories.
Presents research data in the study of computer search algorithms, including live soft-matter quantum computing; heuristic searches applied to the resolution of a relevant optimisation problem from the telecommunications domain; the emergence and advances of quantum search algorithms; artificial neural networks; and, more.