Algorithm Designing Tools For Hard Problems

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Algorithm Designing Tools For Hard Problems

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-19

Algorithm Designing Tools For Hard Problems written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Computers categories.

In the realm of computer science, where solving complex problems efficiently is paramount, approximation algorithms have emerged as a beacon of hope. These ingenious algorithms offer a practical approach to tackling computationally hard problems, where finding an exact solution is often intractable. By allowing for a controlled level of error, approximation algorithms provide near-optimal solutions in a reasonable amount of time. This comprehensive book, Algorithm Designing Tools for Hard Problems, delves into the fascinating world of approximation algorithms, making them accessible to a wide range of readers. With clear explanations and engaging examples, it guides readers through the fundamental concepts, techniques, and applications of approximation algorithms. From the theoretical foundations of computational complexity theory to the practical implementation of specific algorithms, this book covers a vast spectrum of topics. It explores the inner workings of greedy algorithms, dynamic programming, local search algorithms, and randomized algorithms, providing readers with a deep understanding of how these algorithms achieve their remarkable results. Furthermore, the book showcases the diverse applications of approximation algorithms in various domains, including computer science, operations research, economics, biology, and physics. These applications highlight the versatility and impact of approximation algorithms in addressing real-world challenges, from scheduling tasks to optimizing networks and designing efficient algorithms. This book is an invaluable resource for students seeking a thorough introduction to approximation algorithms, researchers pushing the boundaries of this field, and practitioners seeking practical solutions to complex problems. With its comprehensive coverage, clear explanations, and insightful examples, Algorithm Designing Tools for Hard Problems empowers readers to harness the power of approximation algorithms and unlock the potential of computing. Join us on this intellectual journey as we explore the intricate world of approximation algorithms and discover the art of finding near-optimal solutions to some of the most challenging problems in computer science and beyond. If you like this book, write a review!

Algorithmics For Hard Problems

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Author : Juraj Hromkovič
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

Algorithmics For Hard Problems written by Juraj Hromkovič 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 2013-03-14 with Computers categories.

Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics. But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the main possibilities for attacking hard algorithmic problems. As this topic is fundamental for computer science, this book tries to close this gap. Another motivation, and probably the main reason for writing this book, is connected to education. The considered area has developed very dynami cally in recent years and the research on this topic discovered several profound results, new concepts, and new methods. Some of the achieved contributions are so fundamental that one can speak about paradigms which should be in cluded in the education of every computer science student. Unfortunately, this is very far from reality. This is because these paradigms are not sufficiently known in the computer science community, and so they are insufficiently com municated to students and practitioners.

Engineering Stochastic Local Search Algorithms Designing Implementing And Analyzing Effective Heuristics

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Author : Thomas Stützle
language : en
Publisher: Springer
Release Date : 2009-09-01

Engineering Stochastic Local Search Algorithms Designing Implementing And Analyzing Effective Heuristics written by Thomas Stützle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-01 with Computers categories.

Stochastic local search (SLS) algorithms are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search, and variable neighborhood search. Historically, the development of e?ective SLS algorithms has been guided to a large extent by experience and intuition. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e?cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise partly from the complexity of the problems being tackled and in part from the many - grees of freedom researchers and practitioners encounter when developing SLS algorithms. Crucial aspects in the SLS algorithm development comprise al- rithm design, empirical analysis techniques, problem-speci?c background, and background knowledge in several key disciplines and areas, including computer science, operations research, arti?cial intelligence, and statistics.

Algorithm Design For Computer System Design

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Author : Giorgio Ausiello
language : en
Publisher: Springer
Release Date : 2014-05-04

Algorithm Design For Computer System Design written by Giorgio Ausiello and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-04 with Computers categories.

Algorithms Design Techniques And Analysis Revised Edition

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Author : M H Alsuwaiyel
language : en
Publisher: World Scientific
Release Date : 2016-02-16

Algorithms Design Techniques And Analysis Revised Edition written by M H Alsuwaiyel and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-16 with Computers categories.

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them.Algorithms: Design Techniques and Analysis advocates the study of algorithm design by presenting the most useful techniques and illustrating them with numerous examples — emphasizing on design techniques in problem solving rather than algorithms topics like searching and sorting. Algorithmic analysis in connection with example algorithms are explored in detail. Each technique or strategy is covered in its own chapter through numerous examples of problems and their algorithms.Readers will be equipped with problem solving tools needed in advanced courses or research in science and engineering.

Algorithms Design Techniques And Analysis

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Author : M H Alsuwaiyel
language : en
Publisher: World Scientific
Release Date : 1999-08-30

Algorithms Design Techniques And Analysis written by M H Alsuwaiyel and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-08-30 with Computers categories.

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) solution of the formulated problem. One can solve a problem on its own using ad hoc techniques or follow those techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions and the context appropriate for each of them. This book advocates the study of algorithm design techniques by presenting most of the useful algorithm design techniques and illustrating them through numerous examples.

Languages Design Methods And Tools For Electronic System Design

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Author : Marie-Minerve Louërat
language : en
Publisher: Springer
Release Date : 2014-08-21

Languages Design Methods And Tools For Electronic System Design written by Marie-Minerve Louërat and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Technology & Engineering categories.

This book brings together a selection of the best papers from the sixteenth edition of the Forum on specification and Design Languages Conference (FDL), which was held in September 2013 in Paris, France. FDL is a well-established international forum devoted to dissemination of research results, practical experiences and new ideas in the application of specification, design and verification languages to the design, modeling and verification of integrated circuits, complex hardware/software embedded systems and mixed-technology systems.

The Algorithm Design Manual

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Author : Steven S. Skiena
language : en
Publisher: Springer Nature
Release Date : 2020-10-05

The Algorithm Design Manual written by Steven S. Skiena and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-05 with Computers categories.

"My absolute favorite for this kind of interview preparation is Steven Skiena’s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ... graph problems are -- they should be part of every working programmer’s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. ... every 1 – pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types." (Steve Yegge, Get that Job at Google) "Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. ... Every programmer should read this book, and anyone working in the field should keep it close to hand. ... This is the best investment ... a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education) "It is wonderful to open to a random spot and discover an interesting algorithm. This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware) "The is the most approachable book on algorithms I have." (Megan Squire, Elon University) --- This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker's Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography. NEW to the third edition: -- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing -- Provides full online support for lecturers, including an improved website component with lecture slides and videos -- Full color illustrations and code instantly clarify difficult concepts -- Includes several new "war stories" relating experiences from real-world applications -- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank. -- Provides up-to-date links leading to the best implementations available in C, C++, and Java Additional Learning Tools: -- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them -- Exercises include "job interview problems" from major software companies -- Highlighted "take home lessons" emphasize essential concepts -- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject -- Many algorithms are presented with actual code (written in C) -- Provides comprehensive references to both survey articles and the primary literature Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.

The Algorithm Design Manual Text

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Author : Steven S. Skiena
language : en
Publisher: Springer Science & Business Media
Release Date : 1998

The Algorithm Design Manual Text written by Steven S. Skiena 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 1998 with Computers categories.

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.

Invitation To Fixed Parameter Algorithms

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Author : Rolf Niedermeier
language : en
Publisher: OUP Oxford
Release Date : 2006-02-02

Invitation To Fixed Parameter Algorithms written by Rolf Niedermeier and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-02 with Mathematics categories.

This research-level text is an application-oriented introduction to the growing and highly topical area of the development and analysis of efficient fixed-parameter algorithms for optimally solving computationally hard combinatorial problems. The book is divided into three parts: a broad introduction that provides the general philosophy and motivation; followed by coverage of algorithmic methods developed over the years in fixed-parameter algorithmics forming the core of the book; and a discussion of the essentials from parameterized hardness theory with a focus on W[1]-hardness which parallels NP-hardness, then stating some relations to polynomial-time approximation algorithms, and finishing up with a list of selected case studies to show the wide range of applicability of the presented methodology. Aimed at graduate and research mathematicians, programmers, algorithm designers, and computer scientists, the book introduces the basic techniques and results and provides a fresh view on this highly innovative field of algorithmic research.