Data Structures In Depth
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Data Structures In Depth Using C
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Author : Mahmmoud Mahdi
language : en
Publisher: Apress
Release Date : 2025-03-03
Data Structures In Depth Using C written by Mahmmoud Mahdi and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Computers categories.
Understand and implement data structures and bridge the gap between theory and application. This book covers a wide range of data structures, from basic arrays and linked lists to advanced trees and graphs, providing readers with in-depth insights into their implementation and optimization in C++. You’ll explore crucial topics to optimize performance and enhance their careers in software development. In today's environment of growing complexity and problem scale, a profound grasp of C++ data structures, including efficient data handling and storage, is more relevant than ever. This book introduces fundamental principles of data structures and design, progressing to essential concepts for high-performance application. Finally, you’ll explore the application of data structures in real-world scenarios, including case studies and use in machine learning and big data. This practical, step-by-step approach, featuring numerous code examples, performance analysis and best practices, is written with a wide range of C++ programmers in mind. So, if you’re looking to solve complex data structure problems using C++, this book is your complete guide. What You Will Learn Write robust and efficient C++ code. Apply data structures in real-world scenarios. Transition from basic to advanced data structures Understand best practices and performance analysis. Design a flexible and efficient data structure library. Who This Book is For Software developers and engineers seeking to deepen their knowledge of data structures and enhanced coding efficiency, and ideal for those with a foundational understanding of C++ syntax. Secondary audiences include entry-level programmers seeking deeper dive into data structures, enhancing their skills, and preparing them for more advanced programming tasks. Finally, computer science students or programmers aiming to transition to C++ may find value in this book.
Data Structures Through C In Depth
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Author : Suresh Kumar Srivastava
language : en
Publisher:
Release Date : 2004-05
Data Structures Through C In Depth written by Suresh Kumar Srivastava and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05 with C (Computer program language) categories.
This book is written in very simple manner and is very easy to understand. It describes the theory with examples step by step. It contains the description of writing these steps in programs in very easy and understandable manner. The book gives full understanding of each therotical topic and easy implementaion in programming. This book will help the students in Self-Learning of Data structures and in understanding how these concepts are implemented in programs. This book is useful for any level of students. It covers the syllabus of B.E. ,B.Tech, DOEACC Society, IGNOU.
Data Structures In Depth
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Author : ISOLDE. MCMAHON
language : en
Publisher:
Release Date : 2025
Data Structures In Depth written by ISOLDE. MCMAHON and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Fundamentals Of Data Structures In C
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Author : Ellis Horowitz
language : en
Publisher: W H Freeman & Company
Release Date : 1993
Fundamentals Of Data Structures In C written by Ellis Horowitz and has been published by W H Freeman & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
Designed to function as a textbook or as a professional reference, Fundamentals of Data Structures in C provides in-depth coverage of all aspects of data structure implementation in ANSI C. The book goes beyond the standard fare of stacks, queues, and lists to offer such features as afull chapter on search structures and a discussion of advanced tree structures. Recent data structure innovations rarelv found in other texts are presented, including Fibonacci Heaps, Splay Trees, Red-Black Trees, 2-3 Trees, 2-3-4 Trees, Leftist Trees, Binokcal Heaps, Min-Max Heaps, and Deaps.
Introduction To Programming Languages
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Author : Arvind Kumar Bansal
language : en
Publisher: CRC Press
Release Date : 2013-12-17
Introduction To Programming Languages written by Arvind Kumar Bansal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-17 with Computers categories.
In programming courses, using the different syntax of multiple languages, such as C++, Java, PHP, and Python, for the same abstraction often confuses students new to computer science. Introduction to Programming Languages separates programming language concepts from the restraints of multiple language syntax by discussing the concepts at an abstrac
New Trends In Functional Statistics And Related Fields
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Author : Germán Aneiros
language : en
Publisher: Springer Nature
Release Date : 2025-05-23
New Trends In Functional Statistics And Related Fields written by Germán Aneiros and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Mathematics categories.
This volume gathers peer-reviewed contributions presented at the 6th International Workshop on Functional and Operatorial Statistics, IWFOS 2025, held in Novara, Italy, June 25-27, 2025. Covering a broad spectrum of topics in functional and operatorial statistics and related fields, including high-dimensional statistics and machine learning, the contributions tackle both fundamental theoretical challenges and practical applications. A variety of features of statistics for functional data are addressed, such as estimation of functional features, exploration and pre-processing of functional data, methodologies for functional regression and forecasting problems, unsupervised and supervised classification, and testing procedures. Nonstandard functional data and situations which go beyond the pattern of samples of independent variables are investigated, and a link to the field of artificial intelligence is presented. Interesting real data applications to medicine, health, economics and the natural, environmental and social sciences are featured throughout. Initiated at the University of Toulouse in 2008, the series of IWFOS workshops fosters discussion and international collaboration on theoretical advancements, methodological innovations, and applications in functional and operatorial statistics and related fields. Chapter 42 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Combinatorial Optimization And Applications
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Author : Weili Wu
language : en
Publisher: Springer
Release Date : 2010-12-15
Combinatorial Optimization And Applications written by Weili Wu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-15 with Computers categories.
The 4th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2010) took place in Big Island, Hawaii, USA, December 18–20, 2010. Past COCOA conferences were held in Xi’an, China (2007), Newfoundland, Canada (2008)and Huangshan, China (2009). COCOA2010providedaforumforresearchersworkingintheareasofcom- natorial optimization and its applications. In addition to theoretical results, the conference also included recent works on experimental and applied research of general algorithmic interest. The Program Committee received 108 submissions from more than 23 countries and regions, including Australia, Austria, Canada, China, Denmark, France, Germany, Hong Kong, India, Italy, Japan, Korea, Mexico, New Zealand, Poland, Slovak Republic, Spain, Sweden, Switzerland, Taiwan, UK, USA, Vietnam, etc. Among the 108 submissions, 49 regular papers were selected for presentation at the conference and are included in this volume. Some of these papers will be selected for publication in a special issue of the Journal of Combinatorial Optimization, a special issue of Theoretical Computer Science, a special issue of Optimization Letters, and a special issue of Discrete Mathematics, Algorithms and Applications under the standard refereeing procedure.
Objects Abstraction Data Structures And Design
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Author : Elliot B. Koffman
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-20
Objects Abstraction Data Structures And Design written by Elliot B. Koffman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-20 with Computers categories.
Koffman and Wolfgang introduce data structures in the context of C++ programming. They embed the design and implementation of data structures into the practice of sound software design principles that are introduced early and reinforced by 20 case studies. Data structures are introduced in the C++ STL format whenever possible. Each new data structure is introduced by describing its interface in the STL. Next, one or two simpler applications are discussed then the data structure is implemented following the interface previously introduced. Finally, additional advanced applications are covered in the case studies, and the cases use the STL. In the implementation of each data structure, the authors encourage students to perform a thorough analysis of the design approach and expected performance before actually undertaking detailed design and implementation. Students gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations. Case studies follow a five-step process (problem specification, analysis, design, implementation, and testing) that has been adapted to object-oriented programming. Students are encouraged to think critically about the five-step process and use it in their problem solutions. Several problems have extensive discussions of testing and include methods that automate the testing process. Some cases are revisited in later chapters and new solutions are provided that use different data structures. The text assumes a first course in programming and is designed for Data Structures or the second course in programming, especially those courses that include coverage of OO design and algorithms. A C++ primer is provided for students who have taken a course in another programming language or for those who need a review in C++. Finally, more advanced coverage of C++ is found in an appendix. Course Hierarchy: Course is the second course in the CS curriculum Required of CS majors Course names include Data Structures and Data Structures & Algorithms
Advanced Data Structures In C
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Author : Vic Broquard
language : en
Publisher:
Release Date : 2014-08-31
Advanced Data Structures In C written by Vic Broquard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-31 with C++ (Computer program language) categories.
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.
Algorithms And Data Structures
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Author : Jeffrey H. Kingston
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1990
Algorithms And Data Structures written by Jeffrey H. Kingston and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
This book provides a look at the central algorithms and data structures of computer science, together with an introduction to the techniques of design, correctness and analysis required for understanding them.