Search Results for a-guide-to-algorithm-design

Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity.

Author: Anne Benoit

Publisher: CRC Press

ISBN: 9781439898130

Category: Computers

Page: 380

View: 618

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Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.
2013-08-27 By Anne Benoit

NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video ...

Author: Steven S Skiena

Publisher: Springer Science & Business Media

ISBN: 9781848000704

Category: Computers

Page: 730

View: 152

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This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses 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, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • 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 • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java
2009-04-05 By Steven S Skiena

What's InsideEnumeration of possible solutions for the problems.Performance trade-offs (time and space complexities) between the algorithms.Covers interview questions on data structures and algorithms.All the concepts are discussed in a ...

Author: Narasimha Karumanchi

Publisher: Careermonk Publications

ISBN: 8193245253

Category:

Page: 552

View: 427

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Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic Programming Algorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. What's Inside Enumeration of possible solutions for the problems. Performance trade-offs (time and space complexities) between the algorithms. Covers interview questions on data structures and algorithms. All the concepts are discussed in a lucid, easy to understand manner. Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews. Python-based code samples were given the book.

Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.

Author: Antti Laaksonen

Publisher: Springer

ISBN: 9783319725475

Category: Computers

Page: 283

View: 418

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This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.
2018-01-02 By Antti Laaksonen

Inside … Perform data manipulation Consider algorithm design Learn the history of algorithms Grasp graph basics Manage big data Reduce complex algorithms Guide a robot in a maze Program your own algorithm Visit the companion website at ...

Author: John Paul Mueller

Publisher: John Wiley & Sons

ISBN: 9781119330493

Category: Computers

Page: 432

View: 99

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Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
2017-04-24 By John Paul Mueller

You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in.

Author: Gerardus Blokdyk

Publisher: 5starcooks

ISBN: 1867310082

Category:

Page: 302

View: 534

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Have you included everything in your Algorithm design cost models? What tools do you use once you have decided on a Algorithm design strategy and more importantly how do you choose? How do you use Algorithm design data and information to support organizational decision making and innovation? Will new equipment/products be required to facilitate Algorithm design delivery, for example is new software needed? Why is it important to have senior management support for a Algorithm design project? This one-of-a-kind Algorithm Design self-assessment will make you the accepted Algorithm Design domain visionary by revealing just what you need to know to be fluent and ready for any Algorithm Design challenge. How do I reduce the effort in the Algorithm Design work to be done to get problems solved? How can I ensure that plans of action include every Algorithm Design task and that every Algorithm Design outcome is in place? How will I save time investigating strategic and tactical options and ensuring Algorithm Design costs are low? How can I deliver tailored Algorithm Design advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Algorithm Design essentials are covered, from every angle: the Algorithm Design self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Algorithm Design outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Algorithm Design practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Algorithm Design are maximized with professional results. Your purchase includes access details to the Algorithm Design self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Algorithm Design Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
2020-01-19 By Gerardus Blokdyk

GitHub Repositories https: //github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Author: Hemant Jain

Publisher: Createspace Independent Publishing Platform

ISBN: 1539724123

Category:

Page: 436

View: 295

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This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a JAVA language developer. You are not an expert in JAVA language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the JAVA language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. We will be looking into Sorting & Searching techniques. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.
2016-10-21 By Hemant Jain

The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP.

Author: Hemant Jain

Publisher: Independently Published

ISBN: 1726789985

Category:

Page: 456

View: 629

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"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories for these books. https://github.com/Hemant-Jain-Author Book's Composition This book introduces you to the world of data structures and algorithms. Data structures defines the way in which data is arranged in memory for fast and efficient access while algorithms are a set of instruction to solve problems by manipulating these data structures. Designing an efficient algorithm is a very important skill that all software companies, e.g. Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in you jobs as a software engineer. This book assumes that you are a C# language developer. You are not an expert in C# language, but you are well familiar with concepts of classes, functions, arrays, pointers and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into a Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques. In last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking. . Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & C# Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory
2018-10-06 By Hemant Jain

This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis.

Author: Catherine C. McGeoch

Publisher: Cambridge University Press

ISBN: 9781107001732

Category: Computers

Page: 261

View: 142

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This is a guidebook for those who want to use computational experiments to support their work in algorithm design and analysis. Numerous case studies and examples show how to apply these concepts. All the necessary concepts in computer architecture and data analysis are covered so that the book can be used by anyone who has taken a course or two in data structures and algorithms.
2012-01-30 By Catherine C. McGeoch

This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you ...

Author: George T. Heineman

Publisher: "O'Reilly Media, Inc."

ISBN: 9781491912980

Category: Computers

Page: 390

View: 429

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Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs—with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms
2016-03-22 By George T. Heineman

GitHub Repositories https: //github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Author: Hemant Jain

Publisher: Createspace Independent Publishing Platform

ISBN: 1542396476

Category:

Page: 456

View: 750

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This book is about the usage of data structures and algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a C++ language developer. You are not an expert in C++ language, but you are well familiar with concepts of references, functions, arrays and recursion. In the start of this book, we will be revising the C++ language fundamentals that will be used throughout this book. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a linked list, stack, queue, trees, heap, hash table and graphs. We will be looking into sorting, searching techniques. Then we will be looking into algorithm analysis, we will be looking into brute force algorithms, greedy algorithms, divide and conquer algorithms, dynamic programming, reduction, and backtracking. In the end, we will be looking into the system design that will give a systematic approach for solving the design problems in an Interview.
2017-01-08 By Hemant Jain

In various books, the examples are solved in various languages like C, C++, Java, C#, Python, VB, JavaScript and PHP. Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Author: Hemant Jain

Publisher: Createspace Independent Publishing Platform

ISBN: 1541128257

Category:

Page: 410

View: 965

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This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a Python language developer. You are not an expert in Python language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the Python language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. We will be looking into Sorting & Searching techniques. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.
2016-12-14 By Hemant Jain

GitHub Repositories https: //github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Author: Hemant Jain

Publisher: Createspace Independent Publishing Platform

ISBN: 1541353366

Category:

Page: 438

View: 694

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"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In various books, the examples are solved in various languages like C, C++, Java, C#, Python, VB, JavaScript and PHP. Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed. Then in chapters 1, a brief introduction of the programming language and concept of recursion is explained. A number of problems based on recursion and array are explained. Then in the coming chapter, we will be looking into complexity analysis. Then we will be looking into Sorting & Searching techniques. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview. Table of Contents Chapter 0: How to use this book. Chapter 1: Introduction - Programming Overview Chapter 2: Algorithms Analysis Chapter 3: Approach to solve algorithm design problems Chapter 4: Abstract Data Type Chapter 5: Searching Chapter 6: Sorting Chapter 7: Linked List Chapter 8: Stack Chapter 9: Queue Chapter 10: Tree Chapter 11: Priority Queue Chapter 12: Hash-Table Chapter 13: Graphs Chapter 14: String Algorithms Chapter 15: Algorithm Design Techniques Chapter 16: Brute Force Algorithm Chapter 17: Greedy Algorithm Chapter 18: Divide & Conquer Chapter 19: Dynamic Programming Chapter 20: Backtracking Chapter 21: Complexity Theory Chapter 22: Interview Strategy Chapter 23: System Design
2016-12-29 By Hemant Jain

... FUNCTION DEFINITIONS The structure of the 0 - w - t network provides a
guide to the design of recursive definitions . For example , assume that we
experience difficulty in designing a definition to perform the function w on the
members of a ...

Author: Marvin C. Paull

Publisher: Wiley-Interscience

ISBN: UOM:39015012758994

Category: Algorithmes

Page: 490

View: 322

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1988 By Marvin C. Paull

How does one look at any organization and begin the work of automating it in sensible ways? This book provides the blueprint for automating critical business functions of all kinds.

Author: George E. Danner

Publisher: Springer

ISBN: 9783319997896

Category: Business & Economics

Page: 165

View: 277

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From driverless cars to pilotless planes, many functions that have previously required human labor can now be performed using artificial intelligence. For businesses, this use of AI results in reduced labor costs and, even more important, creating a competitive advantage. How does one look at any organization and begin the work of automating it in sensible ways? This book provides the blueprint for automating critical business functions of all kinds. It outlines the skills and technologies that must be brought to bear on replicating human-like thinking and judgment in the form of algorithms. Many believe that algorithm design is the exclusive purview of computer scientists and experienced programmers. This book aims to dispel that notion. An algorithm is merely a set of rules, and anyone with the ability to envision how different components of a business can interact with other components already has the ability to work in algorithms. Though many fear that the use of automation in business means human labor will no longer be needed, the author argues that organizations will re-purpose humans into different roles under the banner of automation, not simply get rid of them. He also identifies parts of business that are best targeted for automation. This book will arm business people with the tools needed to automate companies, making them perform better, move faster, operate cheaper, and provide great lasting value to investors.
2018-12-17 By George E. Danner

Written by expert developers, this guide sharply focuses on classical algorithms and provides a solid understanding of basic algorithmic problem-solving methods.

Author: Michael And Eric Scratch

Publisher:

ISBN: 1801587256

Category: Computers

Page: 188

View: 596

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if you are a Python lover and looking to learn EVERYTHING you need to learn about the Python approach to algorithm design and analysis, this complete guide is exactly what you need. This 2 BOOKS IN ONE gives specific details and explanations of the Python approach to algorithm design and analysis. Written by expert developers, this guide sharply focuses on classical algorithms and provides a solid understanding of basic algorithmic problem-solving methods. If you are already into programming, then you most probably know that there are plenty of platforms to build your code on... but which one is the best and easiest to focus on? There's No Need To Bang Your Head Against The Wall Anymore... Python continues to get more attention and becomes one of the world's most popular programming languages. After all, it offers plenty of benefits, such as being versatile and fast to develop. So far, so good. "And What Am I Supposed To Do When I Barely Know Anything About Python?", you might say... Straight to the point, eh? No Worries, You Are Also Covered On That One! This Handy Guide Will Introduce Into Python's Programming Language, Explain All You Need To Know, And Gradually Follow You Through To Build A Great Code At The End Of The Day! With the help of This Book, you will: - Master The Basic Concepts Of Python Programming and set your way up to code like a pro - Find A Step-By-Step Guide On How To Use Python and basically do nothing, rather than follow the instructions - Catch On Great Ways To Develop Your Website Creation Skills and get paid to do things while you drink your coffee - Learn How To Build Arbitrary and Optional Arguments and find the best way to handle a circumstance - Apply Storing Functions and simultaneously improve the code, and decompose complex problems into simpler pieces ● Computer science and programming practice learning goals, review questions, programming exercises in every chapter ● Algorithmic hypothesis and advanced and introductory data structures and algorithm topics ● The concept of computational complexity that shows what can and can't be computed so programmers can make sound judgments regarding the algorithms they use ● Programming methods that show the ideas and methods needed in developing software - And There's Much More! Programming might require a different approach and logical thinking according to each situation, but... Once you learn the basics, everything else will start slowly falling into its place. And With The Help Of This Essential Guide, Python Coding Will Turn Into A Child's Play For You! Ready For Your Next Project...?
2021-01-10 By Michael And Eric Scratch

Assume we have constructed such a guide tree. We can construct a multiple alignment bottom-up by doing first pair-wise alignment combining neighboring ...

Author: Veli Mäkinen

Publisher: Cambridge University Press

ISBN: 9781107078536

Category: Science

Page: 413

View: 985

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Provides an integrated picture of the latest developments in algorithmic techniques, with numerous worked examples, algorithm visualisations and exercises.
2015-05-07 By Veli Mäkinen

Computers and Intractability: A Guide to the Theory of NP-completeness. ... Algorithm Design: Foundations, Analysis, and Internet Examples. Wiley, 2002.

Author: Sung-Hyuk Cha

Publisher: Cha Academy llc

ISBN: 9781735168005

Category: Computers

Page: 798

View: 789

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The intended readership includes both undergraduate and graduate students majoring in computer science as well as researchers in the computer science area. The book is suitable either as a textbook or as a supplementary book in algorithm courses. Over 400 computational problems are covered with various algorithms to tackle them. Rather than providing students simply with the best known algorithm for a problem, this book presents various algorithms for readers to master various algorithm design paradigms. Beginners in computer science can train their algorithm design skills via trivial algorithms on elementary problem examples. Graduate students can test their abilities to apply the algorithm design paradigms to devise an efficient algorithm for intermediate-level or challenging problems. Key Features: Dictionary of computational problems: A table of over 400 computational problems with more than 1500 algorithms is provided. Indices and Hyperlinks: Algorithms, computational problems, equations, figures, lemmas, properties, tables, and theorems are indexed with unique identification numbers and page numbers in the printed book and hyperlinked in the e-book version. Extensive Figures: Over 435 figures illustrate the algorithms and describe computational problems. Comprehensive exercises: More than 352 exercises help students to improve their algorithm design and analysis skills. The answers for most questions are available in the accompanying solution manual.
2020-06-01 By Sung-Hyuk Cha

GitHub Repositories https: //github.com/Hemant-Jain-Author Book's Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed.

Author: MR Hemant Jain

Publisher:

ISBN: 9352655915

Category:

Page:

View: 678

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This book is about the usage of data structures and algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. Once we are comfortable with a programming language the next step is to learn how to write efficient algorithms. This book assumes that you are a C language developer. You are not an expert in C language, but you are well familiar with concepts of pointers, functions, arrays and recursion. In the start of this book, we will be revising the C language fundamentals that will be used throughout this book. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a linked list, stack, queue, trees, heap, hash table and graphs. We will be looking into sorting, searching techniques. Then we will be looking into algorithm analysis, we will be looking into brute force algorithms, greedy algorithms, divide and conquer algorithms, dynamic programming, reduction and back tracking. In the end, we will be looking into system design which will give a systematic approach for solving the design problems in an Interview.
2016-08-25 By MR Hemant Jain

Garey, M. R. and Johnson, D. 8., Computers and Intractability: A Guide to the Theory ... in Analysis and Design of Algorithms in Combinatorial Optimization, ...

Author: Giorgio Ausiello

Publisher: Springer

ISBN: 9783709143384

Category: Computers

Page: 236

View: 682

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2014-05-04 By Giorgio Ausiello

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