The Fundamentals of Search Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Fundamentals of Search Algorithms write by Robert A. Bohm (Computer scientist). This book was released on 2021. The Fundamentals of Search Algorithms available in PDF, EPUB and Kindle. "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 in C
Algorithms in C - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algorithms in C write by Robert Sedgewick. This book was released on 1998. Algorithms in C available in PDF, EPUB and Kindle. Introduction. Principles of algorithm analysis. Elementary data structures. Abstract data types. Recursion and trees. Elementary sorting methods. Quicksort. Merging and mergesort. Priority queues and heapsort. Radix sorting. Special-purpose sorts. Symbol tables and BSTs. Balanced trees. Hashing. Radix search. External searching. Index.
Fundamentals of Optimization Techniques with Algorithms
Fundamentals of Optimization Techniques with Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fundamentals of Optimization Techniques with Algorithms write by Sukanta Nayak. This book was released on 2020-08-25. Fundamentals of Optimization Techniques with Algorithms available in PDF, EPUB and Kindle. 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
Algorithms, Part II
Algorithms, Part II - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algorithms, Part II write by Robert Sedgewick. This book was released on 2014-02-01. Algorithms, Part II available in PDF, EPUB and Kindle. This book is Part II 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 II contains Chapters 4 through 6 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.
Foundations of Algorithms
Foundations of Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Algorithms write by Richard E. Neapolitan. This book was released on 2011. Foundations of Algorithms available in PDF, EPUB and Kindle. Data Structures & Theory of Computation
