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Learning F Functional Data Structures And Algorithms
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Book Synopsis Purely Functional Data Structures by : Chris Okasaki
Download or read book Purely Functional Data Structures written by Chris Okasaki and published by Cambridge University Press. This book was released on 1998-04-13 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Learning F# Functional Data Structures and Algorithms by : Adnan Masood
Download or read book Learning F# Functional Data Structures and Algorithms written by Adnan Masood and published by Packt Publishing Ltd. This book was released on 2015-06-29 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: F# is a multi-paradigm programming language that encompasses object-oriented, imperative, and functional programming language properties. The F# functional programming language enables developers to write simple code to solve complex problems. Starting with the fundamental concepts of F# and functional programming, this book will walk you through basic problems, helping you to write functional and maintainable code. Using easy-to-understand examples, you will learn how to design data structures and algorithms in F# and apply these concepts in real-life projects. The book will cover built-in data structures and take you through enumerations and sequences. You will gain knowledge about stacks, graph-related algorithms, and implementations of binary trees. Next, you will understand the custom functional implementation of a queue, review sets and maps, and explore the implementation of a vector. Finally, you will find resources and references that will give you a comprehensive overview of F# ecosystem, helping you to go beyond the fundamentals.
Book Synopsis Learning Functional Data Structures and Algorithms by : Atul Khot
Download or read book Learning Functional Data Structures and Algorithms written by Atul Khot and published by . This book was released on 2016-10-31 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn functional data structures and algorithms for your applicationsAbout 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.*Get hands-on practice of Scala and Clojure to get the most out of functional programming.Who This Book Is ForThis book is for those who have some experience in functional programming languages. The data structures in this book are written in Scala and Clojure, but the users of other functional languages will also be able to use the algorithms and benefit from the book.What You Will Learn*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*Get an understanding of the traditional/imperative Java implementation*Grasp the purely functional version in Scala and Clojure*Get hands-on practice with the concepts of Scala and Clojure*See how Scala and Clojure data structures are implemented*Explore the basic themes of immutability, structural sharing, lazy evaluation, and recursion, as well as how they work together*Gain Scala and Clojure best practices and idiomsIn DetailFunctional 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 and Clojure becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. There are powerful algorithms that you can use and benefit from once they are written in the functional paradigm.This book covers all the major algorithms to improve your understanding of functional programming and data structures. It begins with a refresher and consolidation of what functional programming is and you'll get a taste of it in Scala and Clojure. Next, you'll get to know about the concept of cons and how structural sharing makes immutable data structures efficient and practical. You will learn to implement algorithms with arrays and we will also take a look at VList using Scala and Clojure.You will also see various techniques to write functional data structures and will discover how to deal with original data structures such as lists, queues, heaps, and so on. We will go into detail about lazy evaluation for these data structures.By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications.
Book Synopsis Purely Functional Data Structures by : Chris Okasaki
Download or read book Purely Functional Data Structures written by Chris Okasaki and published by Cambridge University Press. This book was released on 1999-06-13 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes data structures and data structure design techniques for functional languages.
Book Synopsis Learning Functional Data Structures and Algorithms by : Atul S. Khot
Download or read book Learning Functional Data Structures and Algorithms written by Atul S. Khot and published by Packt Publishing Ltd. This book was released on 2017-02-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Functional Data Structures and Algorithms by : Atul S. Khot
Download or read book Functional Data Structures and Algorithms written by Atul S. Khot and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Functional data structures have the power to improve the code base 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 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. It begins with a refresher and consolidates 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. Moving on, you will learn about binary trees, where we will be building complete trees, greedy algorithms, and back tracking."--Resource description page.
Book Synopsis Purely Functional Data Structures by : Carnegie-Mellon University. Computer Science Dept
Download or read book Purely Functional Data Structures written by Carnegie-Mellon University. Computer Science Dept and published by . This book was released on 1996 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "When a C programmer needs an efficient data structure for a particular problem, he or she can often simply look one up in any of a number of good textbooks or handbooks. Unfortunately, programmers in functional languages such as Standard ML or Haskell do not have this luxury. Although some data structures designed for imperative languages such as C can be quite easily adapted to a functional setting, most cannot, usually because they depend in crucial ways on assignments, which are disallowed, or at least discouraged, in functional languages. To address this imbalance, we describe several techniques for designing functional data structures, and numerous original data structures based on these techniques, including multiple variations of lists, queues, double-ended queues, and heaps, many supporting more exotic features such as random access or efficient catenation. In addition, we expose the fundamental role of lazy evaluation in amortized functional data structures. Traditional methods of amortization break down when old versions of a data structure, not just the most recent, are available for further processing. This property is known as persistence, and is taken for granted in functional languages. On the surface, persistence and amortization appear to be incompatible, but we show how lazy evaluation can be used to resolve this conflict, yielding amortized data structures that are efficient even when used persistently. Turning this relationship between lazy evaluation and amortization around, the notion of amortization also provides the first practical techniques for analyzing the time requirements of non-trivial lazy programs. Finally, our data structures offer numerous hints to programming language designers, illustrating the utility of combining strict and lazy evaluation in a single language, and providing non-trivial examples using polymorphic recursion and higher-order, recursive modules."
Book Synopsis R Data Structures and Algorithms by : Dr. PKS Prakash
Download or read book R Data Structures and Algorithms written by Dr. PKS Prakash and published by Packt Publishing Ltd. This book was released on 2016-11-21 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase speed and performance of your applications with efficient data structures and algorithms About This Book See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples Find out about important and advanced data structures such as searching and sorting algorithms Understand important concepts such as big-o notation, dynamic programming, and functional data structured Who This Book Is For This book is for R developers who want to use data structures efficiently. Basic knowledge of R is expected. What You Will Learn Understand the rationality behind data structures and algorithms Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis Get to know the fundamentals of arrays and linked-based data structures Analyze types of sorting algorithms Search algorithms along with hashing Understand linear and tree-based indexing Be able to implement a graph including topological sort, shortest path problem, and Prim's algorithm Understand dynamic programming (Knapsack) and randomized algorithms In Detail In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth. Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. Style and approach This easy-to-read book with its fast-paced nature will improve the productivity of an R programmer and improve the performance of R applications. It is packed with real-world examples.
Download or read book Data Structures written by Harry F. Smith and published by Oxford University Press on Demand. This book was released on 1987 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is intended for the one-term course in data structures with the following prerequisites: mastery of a high-level programming language, preferably Pascal, and finite or discrete mathematics. Each basic concept is introduced first through numerous examples and followed by advanced material allowing maximum flexibility in structuring the course. Through the use of data structures, the author has included coverage of the following related topics: recursion, pattern recognition, and dynamic programming. Extensive examples, over 300 exercises, 400 figures and tables, and 80 working algorithms contribute to student learning.
Book Synopsis Advanced Functional Data Structures and Algorithms by : Atul S. Khot
Download or read book Advanced Functional Data Structures and Algorithms written by Atul S. Khot and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Data Structures and Algorithms in Java by : Michael T. Goodrich
Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.
Book Synopsis Data Structures and Algorithms by : Shi Kuo Chang
Download or read book Data Structures and Algorithms written by Shi Kuo Chang and published by World Scientific. This book was released on 2003 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written by an international group of experienced teachers, cover the fundamental concepts of algorithms and most of the important data structures as well as the concept of interface design. The book contains many examples and diagrams. Whenever appropriate, program codes are included to facilitate learning.This book is supported by an international group of authors who are experts on data structures and algorithms, through its website at http: //www.cs.pitt.edu/jung/GrowingBook/, so that both teachers and students can benefit from their expertise
Book Synopsis Data Structures and Algorithms by : Knowledge Flow
Download or read book Data Structures and Algorithms written by Knowledge Flow and published by Knowledge Flow. This book was released on 2015-02-28 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★★★★★LEARNING STARTS WITH VIEWING THE WORLD DIFFERENTLY. ★★★★★ Knowledge flow- A mobile learning platform provides Apps and Books. Knowledge flow provides learning book of Data Structures and Algorithms. This book is for all information technology and computer science students and professionals across the world. Data structure is the programmatic way of storing data and this book of data structure provides an easy way to understanding data structure. Contents: 1. Introduction to Data Structures and Algorithms 2. Data structure for string and pattern matching Algorithm 3. Arrays and Pointers 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Graphs in Data Structure 8. Sort and Search 9. AVL Search Trees 10. Warshall’s Algorithm
Book Synopsis A Practical Approach To Data Structures And Algorithms by : Sanjay Pahuja
Download or read book A Practical Approach To Data Structures And Algorithms written by Sanjay Pahuja and published by New Age International. This book was released on 2007 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Algorithms written by Fethi Rabhi and published by Addison Wesley. This book was released on 1999 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: A student introduction to the design of algorithms for problem solving. Written from a functional programming perspective, the text should appeal to anyone studying algorithms. Included are end-of-chapter exercises and bibliographic references.
Book Synopsis F# 4.0 Design Patterns by : Gene Belitski
Download or read book F# 4.0 Design Patterns written by Gene Belitski and published by Packt Publishing Ltd. This book was released on 2016-11-30 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply functional F# design patterns to a huge range of programming challenges, and discover a smart route to building better applications About This Book This book provides a path if you are coming from imperative and object-oriented paradigms It will take you to an intermediate level of functional programming in very practical manner to write enterprise-quality idiomatic F# code Tackle complex computing problems with simple code by fully embracing the functional-first F# paradigm Packed full of practical coding examples to help you master F# programming and author optimal code Who This Book Is For This book is for .NET developers, web programmers, C# developers, and F# developers. So, if you have basic experience in F# programming and developing performance-critical applications, then this book is for you. What You Will Learn Acquire the practical knowledge to use the main functional design patterns Realign some imperative and object-oriented principles under the functional approach Develop your confidence in building and combining first-order and higher-order functions Learn to use core language pattern matching effectively Make use of native F# algebraic data types in place of custom-built classes Recognize and measure the difference in resource consumption between sequences and materialized data collections Navigate and use F# Core libraries with ease by seeing patterns behind specific library functions Master writing generic polymorphic code In Detail Following design patterns is a well-known approach to writing better programs that captures and reuses high-level abstractions that are common in many applications. This book will encourage you to develop an idiomatic F# coding skillset by fully embracing the functional-first F# paradigm. It will also help you harness this powerful instrument to write succinct, bug-free, and cross-platform code. F# 4.0 Design Patterns will start off by helping you develop a functional way of thinking. We will show you how beneficial the functional-first paradigm is and how to use it to get the optimum results. The book will help you acquire the practical knowledge of the main functional design patterns, the relationship of which with the traditional Gang of Four set is not straightforward. We will take you through pattern matching, immutable data types, and sequences in F#. We will also uncover advanced functional patterns, look at polymorphic functions, typical data crunching techniques, adjusting code through augmentation, and generalization. Lastly, we will take a look at the advanced techniques to equip you with everything you need to write flawless code. Style and approach This book will teach you how to write F# code in an idiomatic functional-first manner, thereby improving the productivity of F# programmers. This book is ideal for an F# programmer who wants using F# in functional-first way.
Book Synopsis Java 9 Data Structures and Algorithms by : Debasish Ray Chawdhuri
Download or read book Java 9 Data Structures and Algorithms written by Debasish Ray Chawdhuri and published by Packt Publishing Ltd. This book was released on 2017-04-28 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a deep understanding of the complexity of data structures and algorithms and discover the right way to write more efficient code About This Book This book provides complete coverage of reactive and functional data structures Based on the latest version of Java 9, this book illustrates the impact of new features on data structures Gain exposure to important concepts such as Big-O Notation and Dynamic Programming Who This Book Is For This book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed. What You Will Learn Understand the fundamentals of algorithms, data structures, and measurement of complexity Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists Get a grasp on the basics of abstract data types—stack, queue, and double ended queue See how to use recursive functions and immutability while understanding and in terms of recursion Handle reactive programming and its related data structures Use binary search, sorting, and efficient sorting—quicksort and merge sort Work with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search trees Apply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked lists Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much more In Detail Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we'll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will get the also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more! Style and approach This book will teach you about all the major algorithms in a step-by-step manner. Special notes on the Big-O Notation and its impact on algorithms will give you fresh insights.
