Advanced Data Structures In C Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Advanced Data Structures In C book. This book definitely worth reading, it is an incredibly well-written.
Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within. This text examines efficient ways to search and update sets of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or piece-wise constant functions, orthogonal range search structures, heaps, union-find structures, dynamization and persistence of structures, structures for strings, and hash tables. This is the first volume to show data structures as a crucial algorithmic topic, rather than relegating them as trivial material used to illustrate object-oriented programming methodology, filling a void in the ever-increasing computer science market. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text. topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.
Advanced Data Structures in C++ by Vic Broquard Pdf
After a complete review of basic class construction with which you should be familiar, Advanced Data Structures in C++ covers more advanced features of classes. Among these are forward references, class enumerated data types, friend functions, constant data members, static data members, static member functions, reference variables that are data members, methods of inlining functions and how to make a production library. Next, Advanced Data Structures in C++ covers in depth all of the various operator overloaded functions; there are a rather large number of them. Then, the principles of inheritance are fully covered. Virtual functions are presented along with the need for them. Examples clearly illustrate their usage. Abstract base classes and pure virtual functions are presented with a significant example of their usage. Advanced Data Structures in C++ discusses C++ error handling in depth along with dynamic casting and run time type identification. How "out of memory" errors are caught is discussed in depth, since Microsoft's VC 7 (and subsequent compilers) new function now no longer returns 0 when short of memory. The design of a hierarchy of exception classes is presented showing how an application can fully utilize the C++ error handling mechanism. Also, how to replace the new and delete functions, replacing the terminate and unexpected error handlers is shown. Next, Advanced Data Structures in C++ presents a full review of the four basic container classes, including the growable array, double linked list, stack and queue. C++ programming templates are covered in depth followed by an example of converting the double linked list into a template class. How client programs are written using these template classes is presented next. A thorough discussion of binary files and hashing techniques comes next. Direct file processing techniques cover the relative record number method, the remainder method and ISAM (Indexed Sequential Access Method). How to write master file update programs is discussed in depth. The impact of structure alignment is visibly shown. Then, Advanced Data Structures in C++ shows the need for hashing techniques. Hence, various methods of hashing are presented. Trees are discussed in depth next, including notation and needed functions and tree operations, such as inserting a new node and deleting a node. Advanced Data Structures in C++ shows a complete example of a binary search tree using an ISAM data base. Advanced Data Structures in C++'s chapter on sorting algorithms presents five different methods in detail. It also implements a benchmark program you can use for comparison purposes. B-trees and their variations are covered next. A complete implementation of an AVL tree is presented. Advanced Data Structures in C++ discusses graphs, priority queues and heaps in detail. Network operations are also shown. The sample program illustrates graphs in depth including showing the shortest path. The examples show how to produce useful formatted results, not just theoretical displays. Next, sets and maps are discussed. Set implementations include the set as an array and the set as a bit vector. The map structure is used to show the very beginning steps of data compression routines. The STL (Standard Template Library) is introduced. How they are created and used is discussed. Examples show how to use the basic container classes. The last chapter of Advanced Data Structures in C++ presents the theory of complex program analysis and included the big-O notation. However, I have kept the level of math low for those who are weak on higher mathematical procedures. The concepts should be easily understood and can be utilized by anyone to estimate the performance of a routing. An appendix shows in depth how to use the new Microsoft VC (.NET) compiler to build and debug C++ programs. Each chapter of Advanced Data Structures in C++ has a set of Review Questions and Programming Problems to solve.
C is the most widely used programming language of all time. It has been used to create almost every category of software imaginable and the list keeps growing every day. Cutting-edge applications, such as Arduino, embeddable and wearable computing are ready-made for C. Advanced Topics In C teaches concepts that any budding programmer should know. You'll delve into topics such as sorting, searching, merging, recursion, random numbers and simulation, among others. You will increase the range of problems you can solve when you learn how to manipulate versatile and popular data structures such as binary trees and hash tables. This book assumes you have a working knowledge of basic programming concepts such as variables, constants, assignment, selection (if..else) and looping (while, for). It also assumes you are comfortable with writing functions and working with arrays. If you study this book carefully and do the exercises conscientiously, you would become a better and more agile programmer, more prepared to code today's applications (such as the Internet of Things) in C.
Advanced Data Structures by Anuradha A. Puntambekar Pdf
Advanced Data Structures is a core subject in Computer Science. It includes a solid introduction to algorithms, data structures and uses C++ syntax and structure in the design of data structures. This textbook helps the students to make the transition from fundamentals of data structures to an advanced level of data structures and their applications. At the beginning, the non-linear data structures such as trees and graphs are discussed in the first two units. In the third unit, the concept of hashing is discussed. In this, the hashing methods, collision handling techniques, concept of dictionary and skip lists are discussed. Next two units are based on search trees and multiway trees. These are basically the advanced level tree structures such as AVL trees, Optimal Binary Search Trees (OBST), B trees, B+ trees, Trie trees, Red-black trees, KD trees and AA trees. Sufficient number of examples and programming illustrations are supported for better understanding of the complex concepts in the simplest manner. Finally, the file organization is discussed, in which various file organization techniques and implementation is illustrated. The objective of this book is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving approach.
Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.
A modern treatment of data structures using the C programming language. Emphasizes such programming practices as dynamic memory allocation, recursion, data abstraction, and "generic" data structures. Appropriate for sophomore level data structures courses that use C, taking advantage of the flexibility that C provides. (vs. VanWyck, Korsh/Garrett)
Advanced C Struct Programming by John W. L. Ogilvie Pdf
Now available for your professional programming use is this invaluable guide which presents a practical method for designing and implementing complex data structures in the C language. The method used consists of two parts: the plan and the framework. The framework offers you a structure for organizing knowledge about data structures, while the plan is an algorithm for using the framework's resources to design and implement data structures. Designed to be flexible and grow with you, this method also incorporates useful tricks, guidelines, and techniques gleaned from over seven years of programming experience. It picks up where others end and is not a cookbook of C networking code, graphics routines or any other particular application area. It will in fact be useful and work for a wide range of programs, including interpreters, word processors, string pattern matchers, simulators, window managers, games, and database editing libraries.
Advanced Algorithms and Data Structures by Marcello La Rocca Pdf
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
Advanced Data Structures & Algorithms in C++ by V.V. Muniswamy Pdf
Includes CD with Questions, Answers & QuizzesThis book is intended for a one-semester course on Data Structures & Algorithms in C++ . It has been specifically designed to help students make the transition from a first course in programming to an integrated understanding of data structures and their applications. It includes a solid introduction to algorithms, an integral part of understanding data structures and uses C++ syntax and structure in the design of data structures.Key Features Focuses on simple explanations of techniques that can be applied to real-world problems Scope and presentation of material provide students with the knowledge necessary to do work in design, implementation, testing, on maintenance of any software systems Includes extensive illustrations and over 250 figures to augment the text Chapter summary, multiple-choice questions, review questions and exercises given at the end of each chapter.
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.
This book starts with the fundamentals of data structures and finally lead to the muchdetailed discussion on the subject. The very first chapter introduces the readers with elementary concepts of C as type conversions, structures, pointers, dynamic memory management, functions, flow-chart, algorithm and fundamental of data structures. This textbook covers the syllabus of Semester College course on data structures. It provides both a strong theoretical base in data structures and an advanced approach to their representation in C. The text is useful to C professionals and programmers, as well as students of any branch of Engineering of graduate and postgraduate courses. The data structures are presented with in the context of complete working programs that have been tested both on a UNIX system and a personal computer using Turbo-C++, Compiler. The code is developed in a top-down fashion, typically with the low-level data structures implementation following the high-level application code. This approach foster good programming habits and makes subject matter more interesting. The book has three goals- to develop a consistent programming methodology, to develop data structures access techniques and to introduce algorithms. The bulk of the text is developed to make a strong hold on data structures. Programming style and development methodology are introduced and its applications are presented. This has the advantage of allowing the reader to concentrate on the data structures, while illustrating how good practices make programming easier.
