Programming And Data Structures Ii

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Dive Into Algorithms

Author : Bradford Tuckfield
Publisher : No Starch Press
ISBN 13 : 1718500696
Total Pages : 250 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Dive Into Algorithms by : Bradford Tuckfield

Download or read book Dive Into Algorithms written by Bradford Tuckfield and published by No Starch Press. This book was released on 2021-01-05 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language. Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence. You'll even explore how ancient Egyptians and Russian peasants used algorithms to multiply numbers, how the ancient Greeks used them to find greatest common divisors, and how Japanese scholars in the age of samurai designed algorithms capable of generating magic squares. You'll explore algorithms that are useful in pure mathematics and learn how mathematical ideas can improve algorithms. You'll learn about an algorithm for generating continued fractions, one for quick calculations of square roots, and another for generating seemingly random sets of numbers. You'll also learn how to: • Use algorithms to debug code, maximize revenue, schedule tasks, and create decision trees • Measure the efficiency and speed of algorithms • Generate Voronoi diagrams for use in various geometric applications • Use algorithms to build a simple chatbot, win at board games, or solve sudoku puzzles • Write code for gradient ascent and descent algorithms that can find the maxima and minima of functions • Use simulated annealing to perform global optimization • Build a decision tree to predict happiness based on a person's characteristics Once you've finished this book you'll understand how to code and implement important algorithms as well as how to measure and optimize their performance, all while learning the nitty-gritty details of today's most powerful algorithms.

Advanced Algorithms and Data Structures

Author : Marcello La Rocca
Publisher : Simon and Schuster
ISBN 13 : 1638350221
Total Pages : 768 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Advanced Algorithms and Data Structures by : Marcello La Rocca

Download or read book Advanced Algorithms and Data Structures written by Marcello La Rocca and published by Simon and Schuster. This book was released on 2021-08-10 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. Summary As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer. About the book Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution. What's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms About the reader For intermediate programmers. About the author Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing. Table of Contents 1 Introducing data structures PART 1 IMPROVING OVER BASIC DATA STRUCTURES 2 Improving priority queues: d-way heaps 3 Treaps: Using randomization to balance binary search trees 4 Bloom filters: Reducing the memory for tracking content 5 Disjoint sets: Sub-linear time processing 6 Trie, radix trie: Efficient string search 7 Use case: LRU cache PART 2 MULTIDEMENSIONAL QUERIES 8 Nearest neighbors search 9 K-d trees: Multidimensional data indexing 10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval 11 Applications of nearest neighbor search 12 Clustering 13 Parallel clustering: MapReduce and canopy clustering PART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER 14 An introduction to graphs: Finding paths of minimum distance 15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections 16 Gradient descent: Optimization problems (not just) on graphs 17 Simulated annealing: Optimization beyond local minima 18 Genetic algorithms: Biologically inspired, fast-converging optimization

Data Structures and Algorithms in Java

Author : Michael T. Goodrich
Publisher : John Wiley & Sons
ISBN 13 : 1118771338
Total Pages : 736 pages
Book Rating : 4.1/5 (187 download)

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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.

A Textbook of Data Structures and Algorithms, Volume 2

Author : G. A. Vijayalakshmi Pai
Publisher : John Wiley & Sons
ISBN 13 : 1786308916
Total Pages : 307 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis A Textbook of Data Structures and Algorithms, Volume 2 by : G. A. Vijayalakshmi Pai

Download or read book A Textbook of Data Structures and Algorithms, Volume 2 written by G. A. Vijayalakshmi Pai and published by John Wiley & Sons. This book was released on 2023-01-19 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert. With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.

Data Structures and Algorithms in Python

Author : Michael T. Goodrich
Publisher : Wiley Global Education
ISBN 13 : 1118476735
Total Pages : 770 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Data Structures and Algorithms in Python by : Michael T. Goodrich

Download or read book Data Structures and Algorithms in Python written by Michael T. Goodrich and published by Wiley Global Education. This book was released on 2013-06-17 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.

Data Structures & Algorithms in Python

Author : Robert Lafore
Publisher : Addison-Wesley Professional
ISBN 13 : 0134855892
Total Pages : 1414 pages
Book Rating : 4.1/5 (348 download)

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Book Synopsis Data Structures & Algorithms in Python by : Robert Lafore

Download or read book Data Structures & Algorithms in Python written by Robert Lafore and published by Addison-Wesley Professional. This book was released on 2022-09-06 with total page 1414 pages. Available in PDF, EPUB and Kindle. Book excerpt: LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON PROGRAMS AND ALGORITHMS This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lafore's legendary Java-based guide, this book helps you understand exactly how data structures and algorithms operate. You'll learn how to efficiently apply them with the enormously popular Python language and scale your code to handle today's big data challenges. Throughout, the authors focus on real-world examples, communicate key ideas with intuitive, interactive visualizations, and limit complexity and math to what you need to improve performance. Step-by-step, they introduce arrays, sorting, stacks, queues, linked lists, recursion, binary trees, 2-3-4 trees, hash tables, spatial data structures, graphs, and more. Their code examples and illustrations are so clear, you can understand them even if you're a near-beginner, or your experience is with other procedural or object-oriented languages. Build core computer science skills that take you beyond merely “writing code” Learn how data structures make programs (and programmers) more efficient See how data organization and algorithms affect how much you can do with today's, and tomorrow's, computing resources Develop data structure implementation skills you can use in any language Choose the best data structure(s) and algorithms for each programming problem—and recognize which ones to avoid Data Structures & Algorithms in Python is packed with examples, review questions, individual and team exercises, thought experiments, and longer programming projects. It's ideal for both self-study and classroom settings, and either as a primary text or as a complement to a more formal presentation.

Open Data Structures

Author : Pat Morin
Publisher : Athabasca University Press
ISBN 13 : 1927356385
Total Pages : 336 pages
Book Rating : 4.9/5 (273 download)

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Book Synopsis Open Data Structures by : Pat Morin

Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.

Algorithms and Data Structures

Author : Niklaus Wirth
Publisher : Prentice Hall
ISBN 13 : 9780130219992
Total Pages : 288 pages
Book Rating : 4.2/5 (199 download)

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Book Synopsis Algorithms and Data Structures by : Niklaus Wirth

Download or read book Algorithms and Data Structures written by Niklaus Wirth and published by Prentice Hall. This book was released on 1986 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Structures Using C++

Author : D. S. Malik
Publisher : South Western Educational Publishing
ISBN 13 : 9781439040232
Total Pages : 912 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis Data Structures Using C++ by : D. S. Malik

Download or read book Data Structures Using C++ written by D. S. Malik and published by South Western Educational Publishing. This book was released on 2010 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest book from Cengage Learning on Data Structures Using C++, International Edition

Foundations of Genetic Programming

Author : William B. Langdon
Publisher : Springer Science & Business Media
ISBN 13 : 3662047268
Total Pages : 265 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Foundations of Genetic Programming by : William B. Langdon

Download or read book Foundations of Genetic Programming written by William B. Langdon and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is one of the only books to provide a complete and coherent review of the theory of genetic programming (GP). In doing so, it provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.

A Common-Sense Guide to Data Structures and Algorithms, Second Edition

Author : Jay Wengrow
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680508059
Total Pages : 714 pages
Book Rating : 4.6/5 (85 download)

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Book Synopsis A Common-Sense Guide to Data Structures and Algorithms, Second Edition by : Jay Wengrow

Download or read book A Common-Sense Guide to Data Structures and Algorithms, Second Edition written by Jay Wengrow and published by Pragmatic Bookshelf. This book was released on 2020-08-10 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for todayâ€™s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. Youâ€™ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.

Algorithms and Data Structures

Author : Niklaus Wirth
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Algorithms and Data Structures by : Niklaus Wirth

Download or read book Algorithms and Data Structures written by Niklaus Wirth and published by Prentice Hall. This book was released on 1986 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the inventor of Pascal and Modula-2 comes a new version of Niklaus Wirth's classic work, Algorithms Plus Data Structure Equals Programs (PH, l975). This title uses Modula-2 and includes new material on sequential structure, searching and priority search trees.

PROGRAMMING and DATA STRUCTURES - II

Author : Ashok Kumar R
Publisher :
ISBN 13 : 9781521010310
Total Pages : 162 pages
Book Rating : 4.0/5 (13 download)

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Book Synopsis PROGRAMMING and DATA STRUCTURES - II by : Ashok Kumar R

Download or read book PROGRAMMING and DATA STRUCTURES - II written by Ashok Kumar R and published by . This book was released on 2017-04-06 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This laboratory manual is prepared by S.Ranjithkumar, AP, Department of Computer Science and Engineering for PROGRAMMING & DATA STRUCTURES LABORATORY - II (CS-6311). This lab manual can be used as instructional book for students, staff and instructors to assist in performing and understanding the experiments. In this manual, experiments as per syllabus are described and additionally the pre-requisite and viva-voce questions are displayed.

Problem Solving with Algorithms and Data Structures Using Python

Author : Bradley N. Miller
Publisher : Franklin Beedle & Associates
ISBN 13 : 9781590282571
Total Pages : 0 pages
Book Rating : 4.2/5 (825 download)

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Book Synopsis Problem Solving with Algorithms and Data Structures Using Python by : Bradley N. Miller

Download or read book Problem Solving with Algorithms and Data Structures Using Python written by Bradley N. Miller and published by Franklin Beedle & Associates. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.

Data Structures II Essentials

Author : Dennis C. Smolarski
Publisher : Research & Education Assoc.
ISBN 13 : 073867172X
Total Pages : 139 pages
Book Rating : 4.7/5 (386 download)

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Book Synopsis Data Structures II Essentials by : Dennis C. Smolarski

Download or read book Data Structures II Essentials written by Dennis C. Smolarski and published by Research & Education Assoc.. This book was released on 2013-01-01 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: REA’s Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Data Structures II includes sets, trees, advanced sorting, elementary graph theory, hashing, memory management and garbage collection, and appendices on recursion vs. iteration, algebraic notation, and large integer arithmetic.

Advanced Data Structures

Author : Daniel R. Page
Publisher : PageWizard Games, Learning & Entertainment
ISBN 13 : 1777407516
Total Pages : 161 pages
Book Rating : 4.7/5 (774 download)

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Book Synopsis Advanced Data Structures by : Daniel R. Page

Download or read book Advanced Data Structures written by Daniel R. Page and published by PageWizard Games, Learning & Entertainment. This book was released on 2020-11-08 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Data Structures and Algorithms! This book is a collection of lectures notes on Data Structures and Algorithms. The content found in this book supplements the free video lecture series, of the same name, "Advanced Data Structures", by the author, Dr. Daniel Page. This video lecture series is available at http://www.pagewizardgames.com/datastructures. This book: -Contains Computer Science topics and materials comparable to those found among university courses at a similar level (second-year) at top Canadian universities. -Provides an accessible written companion and supplemental notes for those that wish to learn the subject of Data Structures and Algorithms from the video lecture series, but have difficulties taking notes, or would prefer having a written alternative to follow along. This book is ideal for those with already an introductory programming background, know a little bit about computing, and wish to learn more about Data Structures and Algorithms and begin a more formal study of Computer Science. The materials here are a great place to start for supplemental/additional learning materials on the subject for self-study, university students, or those that want to learn more about Computer Science. Dr. Daniel Page places great emphasis on the introductory mathematical aspects of Computer Science, a natural transition from a basic programming background to thinking a bit more like a computer scientist about Computer Science. This book is not a textbook. The author assumes the reader is familiar with algebra, functions, common finite and infinite series such as arithmetic series and geometric series, and basic control structures in programming or logic. All the algorithms in this book are described in English, or using Java-like pseudocode. Chapters -Chapter 1 - Introduction: Data Structures, Problems, Input Size, Algorithms, The Search Problem. -Chapter 2 - Intro to Analysis of Algorithms I: Complexity Analysis, Comparing Algorithms, Growth Rate of Functions (Asymptotics), Showing f is O(g), Showing f is not O(g). -Chapter 3 - Intro to Analysis of Algorithms II: Some Properties of O, An Iterative Example, Back to our "Easy" Search Problem. -Chapter 4 - Dictionaries: The Dictionary Problem, Simple Implementations of a Dictionary. -Chapter 5 - Hashing: Hash Function, Hash Code, Separate Chaining, Open Addressing, Revisiting the Load Factor. -Chapter 6 - Trees: Tree ADT, Linked Tree Representation, Tree Property, Computing Height of a Tree, Tree Traversals -Chapter 7 - Priority Queues & Heaps: Priority Queues, Heaps, Array-Based Implementation, Building a Heap, Application: Sorting, Introduction to Amortized Analysis -Chapter 8 - Binary Search Trees: Ordered Dictionary ADT, BST Implementations, Inorder Traversal, Smallest, Get, Put, Remove, Successor. -Chapter 9 - AVL Trees: Height, AVL Trees, Re-Balancing AVL Trees, putAVL, removeAVL, AVL Tree Performance. -Chapter 10 - Graphs: Degrees and the Handshaking Lemma, Complete Graphs, Paths and Cycles, Trees, Forests, Subgraphs, and Connectivity, Graph Representations. -Chapter 11 - Graph Traversals: Depth-First Search (DFS), Path-Finding, Cycle Detection, Counting Vertices, DFS Tree, Breadth-First Search (BFS), Summary. -Chapter 12 - Minimum Spanning Trees: Weighted Graphs, Minimum Spanning Trees & Algorithms, Prim's Algorithm, Heap-Based Implementation of Prim's Algorithm and More! -Chapter 13 - Shortest Paths: Single-Source Shortest Path Problem, Dijkstra's Algorithm. -Chapter 14 - Multiway Search Trees: Beyond Binary Search Trees, Get, Put, Successor and Remove, (2,4)-Trees, B-Trees.

C Programming With Data Structure

Author : T.B. Poornima Sudha
Publisher :
ISBN 13 : 9788126123643
Total Pages : 414 pages
Book Rating : 4.1/5 (236 download)

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Book Synopsis C Programming With Data Structure by : T.B. Poornima Sudha

Download or read book C Programming With Data Structure written by T.B. Poornima Sudha and published by . This book was released on 2005-01-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Is Prepared To Develop The Programming Skills Of The Reader Through C Language With Data Structures. This Book Covers The Basics Of C Language. It Covers Most Of The Theory And Practical Examinations For The Various Courses Like B.Sc. Computer Science, B. Tech Computers And It, Mca, M.Sc. Computers And Also Diploma Courses.The Organization Of This Book Is An Follows:Unit I: Introduction To Computers, Algorithms, Flowcharts, Program Development Steps, Introduction To C Language, History Of C Basic Structure Of A C Program, C Tokens, Data Types, Variables, Input/Output, Control Structures.Unit Ii: One Dimensional Arrays, String Variables, String Handling Functions, User-Defined Functions, Recursion, Description Of Function, Variables And Storage Classes.Unit Iii: Structure Definition, Initializing, Assigning Values, Passing, Structures As Arguments, Unions, Pointers, Point Based Expressions, Pointers To Arrays, Strings, Functions, Structures, Files, Operations On File Management In C.Unit Iv: Introduction To Data Structures, Stacks, Representation Of Stacks, Algorithms, Stack Applications Queues, Representation Of Queues, Circular Queue.Unit V: Single Linked List, Doubly Linked List, Header, Circular List, Applications, Binary Trees, Binary Tree Representation, Tree Traversals, Graph Representation, Graph Traversals And Spanning Trees.Unit Vi: Complexity Of Algorithms Search Techniques, Linear Search Method, Binary Search Method, Fibonacci Search Method, Sorting Methods, Exchange Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, Tree Sort.