The Fundamentals Of Search Algorithms
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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"--
Algorithms
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Author : Robert Sedgewick
language : en
Publisher: Addison-Wesley Professional
Release Date : 2014-02-01
Algorithms written by Robert Sedgewick and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-01 with Computers categories.
This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
Fundamentals Of Optimization Techniques With Algorithms
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Author : Sukanta Nayak
language : en
Publisher: Academic Press
Release Date : 2020-08-25
Fundamentals Of Optimization Techniques With Algorithms written by Sukanta Nayak and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Technology & Engineering categories.
Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice. - Presents optimization techniques clearly, including worked-out examples, from traditional to advanced - Maps out the relations between optimization and other mathematical topics and disciplines - Provides systematic coverage of algorithms to facilitate computer coding - Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design - Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks
Advanced Algorithm Mastery Elevating Python Techniques For Professionals
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03
Advanced Algorithm Mastery Elevating Python Techniques For Professionals written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
Unlock the world of complex problem-solving with "Advanced Algorithm Mastery: Elevating Python Techniques for Professionals," your ultimate resource for mastering algorithms within one of the most dynamic programming languages. Tailored for both aspiring and seasoned professionals, it offers an in-depth exploration from foundational principles to cutting-edge techniques. Dive into the realm of data structures, uncover the nuances of search and sort algorithms, and traverse the sophisticated landscapes of graph theories. Master challenging concepts with dynamic programming, greedy strategies, divide-and-conquer approaches, and backtracking methods. Push the boundaries of your expertise by integrating advanced topics such as machine learning and graphical models, all demonstrated through comprehensive Python examples. With meticulously organized chapters, thorough explanations, and practical code examples, "Advanced Algorithm Mastery" serves as both a robust learning asset and a critical reference guide. Whether you aim to refine your algorithmic proficiency, solve intricate data challenges, or expand your programming knowledge, this book empowers you to surpass your objectives. Embark on a transformative journey that will not only enhance your problem-solving prowess but also reshape your approach to challenges in computer science.
Innovative Computational Intelligence A Rough Guide To 134 Clever Algorithms
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Author : Bo Xing
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-13
Innovative Computational Intelligence A Rough Guide To 134 Clever Algorithms written by Bo Xing 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 2013-12-13 with Technology & Engineering categories.
The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies. The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.
Fundamentals Of Optimization Techniques With Algorithms
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Author : Sukanta Nayak
language : en
Publisher: Academic Press
Release Date : 2020-08-25
Fundamentals Of Optimization Techniques With Algorithms written by Sukanta Nayak and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Technology & Engineering categories.
Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice.
Python Algorithms Step By Step A Practical Guide With Examples
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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-03-29
Python Algorithms Step By Step A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Computers categories.
This book offers a comprehensive introduction to both Python programming and algorithm analysis, presenting the material in a clear and structured manner. It systematically covers essential topics, starting with the basics of Python, such as setting up the programming environment and understanding core syntax and data types, before progressing to more advanced areas like algorithm design and data structures. The content is organized into well-defined chapters that build upon one another to ensure a solid foundational understanding. The instructional approach emphasizes precision and practical application, with detailed explanations and examples that illustrate key programming concepts. The book makes extensive use of code snippets encapsulated in the lstlisting environment, while expected outputs are provided in the verbatim environment. This technical format allows readers to directly connect theoretical concepts with their implementation in a real-world context, enhancing both learning and problem-solving skills. Designed for beginners with little or no programming experience, the book also serves as a valuable resource for individuals seeking to strengthen their understanding of computational problem solving. It delivers meticulous explanations of core algorithms, from basic searching and sorting techniques to more advanced methods in graph theory and dynamic programming. Readers are equipped with the necessary skills to not only write reliable and efficient code but also to approach computational challenges with a systematic and informed mindset.
Mastering Python Algorithms
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-10-26
Mastering Python Algorithms written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Computers categories.
"Mastering Python Algorithms: Practical Solutions for Complex Problems" is an essential guide for anyone eager to delve into the world of algorithmic design and implementation using Python. Structured to cater to various levels of learners, this book meticulously covers foundational principles and advanced algorithmic techniques. Whether you're a student, a developer, or a data scientist, you'll find the blend of theoretical insights and hands-on Python applications both enriching and practical. Spanning key areas from sorting and searching algorithms to the intricacies of graph theory and dynamic programming, the book provides in-depth explanations paired with Python code examples. It also delves into contemporary machine learning approaches and optimization methods, all while introducing readers to the nuances of Python’s advanced features that can significantly enhance algorithmic efficiency. By combining clear narrative with expert exploration of Python's rich ecosystem, "Mastering Python Algorithms" ensures readers are well-equipped to tackle diverse computational challenges with confidence. The emphasis on both performance analysis and implementation strategies guarantees that upon completion, readers will not only grasp complex algorithmic concepts but also be able to apply them effectively in real-world situations.
Algorithms
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Author : Robert Sedgewick
language : en
Publisher: Addison-Wesley Professional
Release Date : 2011-02-21
Algorithms written by Robert Sedgewick and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-21 with Computers categories.
The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should know Princeton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts. They provide a full treatment of data structures and algorithms for key areas that enable you to confidently implement, debug, and put them to work in any computational environment. Fundamentals: Basic programming models Data abstraction Bags, queues, and stacks Analysis of algorithms Sorting Elementary sorts Mergesort Quicksort Priority queues Applications Graphs Undirected graphs Directed graphs Minimum spanning trees Shortest paths Strings String sorts Tries Substring search Regular expressions Data compression These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code. As a group, they represent problem-solving power of amazing scope. They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them.
Algorithms In C Parts 1 4
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Author : Robert Sedgewick
language : en
Publisher: Addison-Wesley Professional
Release Date : 1997-08-22
Algorithms In C Parts 1 4 written by Robert Sedgewick and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-22 with Computers categories.
Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language. Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.