Data structures and Algorithms

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  • 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.

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  • Tham khảo tài liệu 'data structures and algorithms - chapter 9 -graph', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • 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.

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  • Part 2 consists of 7 chapters introduce content: Linked Lists, Binary Trees and Binary Search Trees, Sets, Advanced Sorting Algorithms, Advanced Data Structures and Algorithms for Searching, Graphs and Graph Algorithms, Advanced Algorithms.

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  • This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will find a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.

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  • 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.

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  • BK TP.HCM Ho Chi Minh City University of Technology Faculty of Computer Science and Engineering BK TP.HCM Data Structures and Algorithms – C++ Implementation Huỳnh T n t Email: htdat@cse.hcmut.edu.vn 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; ??? ptr ptr ??? ptr ptr Faculty of Computer Science and Engineering – HCMUT Slide 2 .

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  • Ebook "Data structures and algorithms in Java" presentation of content: Overview, arrays, simple sorting, stacks and queues, linked, recursionlists, advanced sorting, binary trees, red-black trees, 2-3-4 trees and external storage,... Invite you to consult.

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  • Stack ADTDEFINITION: A Stackof elements of type T is a finite sequence of elements of T, in which all insertions and deletions are restricted to one end, called the top. Stackis a Last In -First Out (LIFO) data structure.Basic operations: •Construct a stack, leaving it empty. •Pushan element. •Popan element. •Top an element.

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  • In computer science, a binary search tree (BST), which may sometimes also be called an ordered or sorted binary tree, is a node-based binary tree data structure which has the following properties:[1] The left subtree of a node contains only nodes with keys less than the node's key. The right subtree of a node contains only nodes with keys greater than the node's key. Both the left and right subtrees must also be binary search trees. There must be no duplicate nodes. Generally, the information represented by each node is a record rather than a single data element.

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  • Tree whose outdegree is not restricted to 2 while retaining the general properties of binary search trees. • Each node has m - 1 data entries and m subtree pointers. • The key values in a subtree such that: – = the key of the left data entry –

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  • 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.

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  • Data Structures and Algorithms: Table of Contents Data Structures and Algorithms Alfred V. Aho, Bell Laboratories, Murray Hill, New Jersey John E. Hopcroft, Cornell University, Ithaca, New York Jeffrey D.

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  • 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++.

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  • Internal sort: all data are help inprimary memory during the sorting process. external sort: primary memory for data currently being sorted and secondary storage for data that do not fit in primary memory.

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  • • Algorithm efficiency is considered with only big problem sizes. • We are not concerned with an exact measurement of an algorithm's efficiency. • Terms that do not substantially change the function’s magnitude are eliminated.

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  • AVLTree is: •A Binary Search Tree, •in which the heights of the left and right subtreesof the root differ by at most 1, and •the left and right subtreesare again AVLtrees.

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  • General list: •No restrictions on which operation can be used on the list •No restrictions on where data can be inserted/deleted. Unordered list(random list): Data are not in particular order. Ordered list: data are arranged according to a key.

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  • Reverse a list AlgorithmReverseList PreUser supplies numbers. PostThe numbers are printed in reverse order. UsesStack ADT. 1.loop(stack is not full and there is more number) 1.read a number 2.push the number into the stack 2.loop(stack is not empty) 1.top the number from the stack 2.pop stack 3.write the number end ReverseList

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  • •Queues are one of the most common of all data-processing structures. •Queues are used where someone mustwait one's turn before having access to something. •Queues are used in every operating system and network: processing system services and resource supply: printer, disk storage, use of the CPU,... •Queues are used in business online applications: processing customer requests, jobs, and orders.

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