Advanced Functional Data Structures And Algorithms
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Advanced Functional Data Structures And Algorithms
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Author : Atul S. Khot
language : en
Publisher:
Release Date : 2017
Advanced Functional Data Structures And Algorithms written by Atul S. Khot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
"Algorithms and data structures are fundamentals in computer programming. Functional data structures have the power to improve the code base of an application and improve its efficiency. With the advent of functional programming and powerful functional languages such as Scala, Clojure, and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread-safe by definition and therefore are very appealing to write robust concurrent programs. But how do we express traditional algorithms in a functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures? This course attempts to answer these questions by looking at functional implementations of traditional algorithms. The course begins by showing you the functioning of lists, the workhorse data type for most functional languages. We'll show you what structural sharing means and how it helps to make immutable data structures efficient and practical. While writing code, we use ADTs (abstract data types) such as Stacks, Queues, Trees, and Graphs. You'll see how these ADTs are implemented in a functional setting. We look at implementation techniques such as amortization and lazy evaluation to ensure efficiency. By the end of the course, you'll be able to write efficient functional data structures and algorithms for your applications."--Resource description page.
Advanced Functional Programming
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Author :
language : en
Publisher:
Release Date : 2004
Advanced Functional Programming written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Functional programming (Computer science) categories.
Functional Data Structures In R
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Author : Thomas Mailund
language : en
Publisher: Apress
Release Date : 2017-11-17
Functional Data Structures In R written by Thomas Mailund and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-17 with Computers categories.
Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to emulate pointers and implement traditional data structures. You’ll also see how, by abandoning traditional data structures, you can manipulate structures by building new versions rather than modifying them. You’ll discover how these so-called functional data structures are different from the traditional data structures you might know, but are worth understanding to do serious algorithmic programming in a functional language such as R. By the end of Functional Data Structures in R, you’ll understand the choices to make in order to most effectively work with data structures when you cannot modify the data itself. These techniques are especially applicable for algorithmic development important in big data, finance, and other data science applications. What You'll Learn Carry out algorithmic programming in R Use abstract data structures Work with both immutable and persistent data Emulate pointers and implement traditional data structures in R Build new versions of traditional data structures that are known Who This Book Is For Experienced or advanced programmers with at least a comfort level with R. Some experience with data structures recommended.
Advanced Functional Programming
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Author : John Launchbury
language : en
Publisher: Springer
Release Date : 1996-08-14
Advanced Functional Programming written by John Launchbury and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-14 with Computers categories.
This book presents the eight tutorial lectures given at the Second International School on Advanced Functional Programming, held in Olympia, WA, USA, in August 1996. After many years of development, functional programming languages have matured to a point where they can be used for much larger applications than has been typical in the past. These tutorial notes have been written for students and professionals in software engineering who are interested in exploring beyond the elementary concepts of functional programming and in progressing towards large-scale programming and structured software.
Acm Sigplan Notices
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Author :
language : en
Publisher:
Release Date : 1991
Acm Sigplan Notices written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Programming languages (Electronic computers) categories.
Learning Functional Data Structures And Algorithms
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Author : Atul S. Khot
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-02-23
Learning Functional Data Structures And Algorithms written by Atul S. Khot and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-23 with Computers categories.
Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming. Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures? This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency. By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.
C Classes And Data Structures
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Author : Jeffrey S. Childs
language : en
Publisher: Prentice Hall
Release Date : 2008
C Classes And Data Structures written by Jeffrey S. Childs and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Most books on data structures are filled with so many technical details (and lack thorough explanations) that the reading becomes difficult. This accessible, conversational presentation explores data structures concepts in clear language. Assumes a basic knowledge of C++. Focuses on the client for all programs, classes, and data structures. Offers meaningful, relevant examples and worked examples throughout. Includes thoroughly tested code. Provides code for all examples. A useful reference for anyone interested in learning more about programming.
Purely Functional Data Structures
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Author : Chris Okasaki
language : en
Publisher: Cambridge University Press
Release Date : 1998-04-13
Purely Functional Data Structures written by Chris Okasaki and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-13 with Computers categories.
Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.
Python Data Structures And Algorithms
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Author : Benjamin Baka
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-05-30
Python Data Structures And Algorithms written by Benjamin Baka and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-30 with Computers categories.
Implement classic and functional data structures and algorithms using Python About This Book A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Who This Book Is For The book will appeal to Python developers. A basic knowledge of Python is expected. What You Will Learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. In Detail Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. Style and Approach The easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications.
Proceedings Of The Acm Sigplan International Conference On Functional Programming
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Author :
language : en
Publisher:
Release Date : 1996
Proceedings Of The Acm Sigplan International Conference On Functional Programming written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computer architecture categories.