Using the increasingly popular C language, this book teaches data structures from their theoretical conception through to their concrete realizations. It emphasizes structured design and programming techniques, and contains numerous debugged programming samples. For CS2 course in advanced programming or data structures in C.
Ho Chi Minh City University of Technology Faculty of Computer Science and Engineering
Data Structures and Algorithms – C++ Implementation
Huỳnh T n t
Email: firstname.lastname@example.org Home Page: http://www.cse.hcmut.edu.vn/~htdat/
.Pointer in C++
Declaration Node *ptr; Create an object ptr = new Node(); A pointer usage printf(“Data in node: %d”, ptr-data); Destroy an object delete ptr; NULL pointer ptr = NULL;
Faculty of Computer Science and Engineering – HCMUT Slide 2
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.
Synopsis by Rebecca Rohan Once you've learned to program, you run into real-world problems that require more than a programming language alone to solve. Data Structures and Algorithms in Java is a gentle immersion into the most practical ways to make data do what you want it to do. Lafore's relaxed mastery of the techniques comes through as though he's chatting with the reader over lunch, gesturing toward appealing graphics. The book starts at the very beginning with data structures and algorithms, but assumes the reader understands a language such as Java or C++.
Data Structures and Algorithm Analysis Edition 3.2 (Java Version) a comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.
Divided into three separate sections, C & Data Structures covers C programming, as well as the implementation of data structures and an analysis of advanced data structure problems. Beginning with the basic concepts of the C language (including the operators, control structures, and functions), the book progresses to show these concepts through practical application with data structures such as linked lists and trees, and concludes with the integration of C programs and advanced data structure problem-solving. The book covers a vast ...
Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practical, DATA STRUCUTRES AND ALGORITHMS IN C++, 4E by experienced author Adam Drosdek highlights the fundamental connection between data structures and their algorithms, giving equal weight to the practical implementation of data structures and the theoretical analysis of algorithms and their efficiency.
CS2604: Data Structures and File Processing
Cli ord A. Sha er Department of Computer Science Virginia Tech Copyright c 1995, 1996, 1998
.You might believe that faster computers make it unnecessary to be concerned with e ciency. However...
⇒ • • •
Data structures organize data
A primary concern of this course is e ciency.
The Need for Data Structures
more e cient programs.
More powerful computers ⇒ more complex applications. More complex applications demand more calculations. Complex computing tasks are unlike our everyday experience.
Lecture Data Structures & Algorithms: Chapter 1 (C-Language) presented address, pointers, arrays, address of each element in an array, accessing & manipulating an array using pointers, another case of manipulating an array using pointers, two-dimensional array, pointer arrays, structures, structure pointers.
This book discusses the development and implementation of data structures and algorithms using C#. The data structures we use in this book are found in the .NET Framework class library System.Collections. In this chapter, we develop the concept of a collection by ﬁrst discussing the implementation of our own Collection class (using the array as the basis of our implementation) and then by covering the Collection classes in the .NET Framework.
Classes are an expanded concept of data structures: like data structures, they can contain data members, but they can also contain functions as members. Chapter 8 introduction to classes in C++, this chapter presents the following content: Procedural programming vs OOP, classes, livecoding.
Chapter 19 - Data structures. After studying this chapter you will be able to understand: Structures in C, defining a struct, declaring and using a struct, defining and declaring at once, using typedef, generating code for structs, array of structs, pointer to struct,...
Lecture Programming in C++ - Chapter 16: Data structures and recursion. On completion of this chapter students will know how to: Create a linked list, create a stack, create a queue, create a binary tree, identify recursive functions.
C# programmers: no more translating data structures from C++ or Java to
use in your programs! Mike McMillan provides a tutorial on how to use data
structures and algorithms plus the first comprehensive reference for C# implementation
of data structures and algorithms found in the .NET Framework
library, as well as those developed by the programmer.
The authors present the complete guide to ANSI standard C language programming. Written by the developers of C, this new version helps readers keep up with the finalized ANSI standard for C while showing how to take advantage of C's rich set of operators, economy of expression, improved control flow, and data structures. The 2/E has been completely rewritten with additional examples and problem sets to clarify the implementation of difficult language constructs.