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(1) Michael Main, Walter Savitch-Data Structures And Other Objects Using C++ (4Th Edition)-Pearson (2010). October 21, 2018 | Author: Mimi | ...Thank you for interesting in our services. We are a non-profit group that run this website to share documents. We need your help to maintenance this website. To keep our site running, we need your help to cover our server cost (about $400m), a small donation will help us a lot.Please help us to share our service with your friends.Pleae click here for the Javasupplements Lectures The lectures, including slides and speakers notes, are Microsoft PowerPoint presentations that also work with OpenOffice presentation software. Code from the Book You can download all C++ code from the textbook in several formats. Users of Microsoft Visual C++ 6.0 or earlier must download alternative code that avoids static member constants (as described Appendix F of the textbook). Sample Course Materials Corrections for the Text Michael Main(email ) and Walter Savitch(email ) To Download All Files for the 4th Edition (PC Zip Format): Download the zip file: dscode.zip . This file is a zip file. If you need an unzipper, you can also download the file unzip.exe (UnZip 5.12 by Info-ZIP). After downloading both dscode.zip and unzip.exe into the same directory, you can decompress with the DOS command: unzip dscode.zip This will create one subdirectory for each chapter of the book. Paperback$149.32Price Reduced From: $186.65ISBN-13: 9780132129480Data Structures and Other Objects Using C++Free deliveryA collection of end-of-chapter projects from Data Structures and Other Objects Using C++ (4th edition) by Michael Main and Walter Savitch.Besides STL, some examples rely on:BoostRapid CSVdate, which will be added to the C++ standard library in C++20Some chapters have more than one exercise grouped together.ChapterExercise name2Lunar lander, Statistician3Towers of Hanoi4Chore manager5Linked List of digits6Gift list7Postfix and Infix expression parser8Store checkout9Ackermann function10Binary Search Tree Expression Tree11Logarithm12Word dictionary13Radix sorter14Gym membership roster15Prims Minimum Spanning TreeHoping someone out there has a PDF for Data Structures and Other Objects Using C++, 4th Editionby Michael Main and Walter SavitchISBN-13: 9780132129480ISBN-10: 0132129485Thanks for at least checking me out!Progress at your own speedOptional upgrade availableUnderstanding various data structures and algorithms is the foundation of modern programming.In this self-paced course you will learn about the characteristics of commonly used data structures and algorithms and how to implement them to be able to conduct efficiency analyses in C++ from scratch. To solve real-world problems efficiently, advanced C++ programs are developed using pointers, dynamic storage, and linear and non-linear data structures. You will gain experience with a variety of algorithm types like recursion, searching, sorting, dynamic programming, greedy, and divide and conquer, which are required to build efficient programs. You will also learn how to measure the efficiency of the program you have written. After completing the course, you will be able to systematically approach coding problems in a step-by-step manner.There are several implementations that are presented in the development of each data structure. As you solve problems ranging from easy to difficult that address different data structures, you will learn how to select and program various data structures and apply the most suitable algorithms to solve a particular problem.Solving problems that require different data structures will help you understand the strengths and weaknesses of common data structures and teach you how to choose the right combinations of data structures and algorithms for efficiently solving problems.● Different data structures, abstract data types and their applications● How to implement linear and non-linear data structures● How to implement stack and queue abstract data types using arrays and linked lists● How to analyze the efficiency of various algorithms – time and space complexity● How to implement linear and binary search algorithms and their efficiency analysis● Different sorting algorithms and their implementations● Problem solving using iterative, recursive algorithms, their efficiency analysis and understand various algorithm design strategiesIntroduction to data structures & algorithm involving problem solving, algorithm concept, abstract data types, arrays and linked list.Introduction to stack and queue data structure, its operations and implementation using arrays and linked lists.Analysis of various algorithms, learn how to measure algorithm efficiency, time and space complexity, best, average and worst case analysis. Understand various searching techniques, linear and binary search algorithms, their efficiency analysis and implementation.Introduction to various sorting algorithms – Bubble sort, insertion sort, merge sort, quick sort and heap sort, its implementation and efficiency analysis.Understand various non-linear data structures - Tree. Its real-time applications, implementation, tree traversals and its functionalities. Implementation of Binary Search TreeUnderstand and learn graph data structure. Different types of graph , their implementation and other operations.Understand various Algorithm Design Strategies.Recursive, Greedy, Dive and Conquer and Dynamic Programming
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