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Data Structures and Algorithm Analysis
- Auteur: Clifford A. Shaffer
- ISBN:
- Rayon: S
- Maison Edition:
- Ville Edition:
- Année Edition: 2011
- Domaine: Sciences de données
How to Think About Algorithms
- Auteur: Jeff Edmonds
- ISBN: 978-0-511-41370-4
- Rayon: E
- Maison Edition: Cambridge University Press
- Ville Edition: New York
- Année Edition: 2008
- Domaine: Programmation
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Data Structure and Algorithms Using C++: A Practical Implementation
- Auteur: Sachi Nandan Mohanty, Pabitra Kumar Tripathy
- ISBN: 978-1-119-75054-3
- Rayon: N
- Maison Edition: Scrivener Publishing
- Ville Edition:
- Année Edition: 2021
- Domaine: Sciences de données
Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them.
Data Structures and Algorithms in C++
- Auteur: Adam Drozdek
- ISBN: 978-1-133-60842-4
- Rayon: D
- Maison Edition: Cengage Learning
- Ville Edition: London
- Année Edition: 2012
- Domaine: Sciences de données
Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practical, DATA STRUCUTRES AND ALGORITHMS IN C++, 4E by experienced author Adam Drosdek highlights the fundamental connection between data structures and their algorithms, giving equal weight to the practical implementation of data structures and the theoretical analysis of algorithms and their efficiency. This edition provides critical new coverage of treaps, k-d trees and k-d B-trees, generational garbage collection, and other advanced topics such as sorting methods and a new hashing technique. Abundant C++ code examples and a variety of case studies provide valuable insights into data structures implementation. DATA STRUCTURES AND ALGORITHMS IN C++ provides the balance of theory and practice to prepare readers for a variety of applications in a modern, object-oriented paradigm.
Data Structure and Algorithmic Thinking with Python Data Structure and Algorithmic Puzzles
- Auteur: Narasimha Karumanchi
- ISBN: 978-8192107592
- Rayon: A
- Maison Edition: CareerMonk Publications
- Ville Edition:
- Année Edition: 2020
- Domaine: Sciences de données
"Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.
Data Structure and Algorithms Using C++ A Practical Implementation
- Auteur: Sachi Nandan Mohanty, Pabitra Kumar Tripathy
- ISBN: 978-1-119-75054-3
- Rayon: S
- Maison Edition: Scrivener Publishing
- Ville Edition:
- Année Edition: 2021
- Domaine: Sciences de données
Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming. This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.
Principles of Programming Languages Design, Evaluation, and Implementation
- Auteur: Bruce J. MacLennan
- ISBN: 9780195105834
- Rayon: M
- Maison Edition: Oxford University Press
- Ville Edition:
- Année Edition: 1995
- Domaine: Programmation
Design is an essential topic for all compuer science students regardless of whether or not they will ever have to create a programming language. The user who understands the motivation for various language facilities will be able to use them more intelligentlu; the compiler writer to implement them more reasonably. Implementation is also important since the language designer must be aware of the costs of the facilities provided. This text treats the design and implementation of programming languages as fundamental skills that all computer scientists should possess. It illustrates concepts with representative languages from five generations of language development. Design and implementation issues surrounding Fortran, Algol-60, Pascal, Ada, Lisp, SmallTalk, and Prolog are covered in-depth as case studies to illustrate larger themes. The implementation techniques discussed in this text are seminal; they form the basis of techniques that will continue to be useful and that can be varied to achieve a wide range of goals.
The Algorithm Design Manual
- Auteur: Steven S. Skiena
- ISBN: 978-3-030-54256-6
- Rayon: S
- Maison Edition: Springer
- Ville Edition: London
- Année Edition: 2020
- Domaine: Sciences Informatiques et technologies
"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 Algorithm Design Manual
- Auteur: Steven S. Skiena
- ISBN: 978-1-84800-070-4
- Rayon: S
- Maison Edition: Springer
- Ville Edition: London
- Année Edition: 2008
- Domaine: Sciences Informatiques et technologies
The most comprehensive guide to designing practical and efficient algorithms! 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.
Logical Foundations of Proof Complexity
- Auteur: Stephen Cook, Phuong Nguyen
- ISBN: 978-0-511-67716-8
- Rayon: C
- Maison Edition: Cambridge university press
- Ville Edition: New York
- Année Edition: 2010
- Domaine: Mathématiques
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