File Name: data structure and algorithm in c .zip
A computer program is a collection of instructions to perform a specific task. For this, a computer program may need to store data, retrieve data, and perform computations on the data.
Data Structures- Data structure, Abstract Data Types ADT , Concept of linear and Non-linear,static and dynamic, persistent and ephemeral data structures, and relationship among data, data structure, and algorithm, From Problem to Program. Algorithmic Strategies- Introduction to algorithm design strategies- Divide and Conquer, and Greedy strategy. Solving recurrence relations. Concept, Comparison of sequential and linked organizations, Primitive operations, Realization of Linked Lists, Realization of linked list using arrays, Dynamic Memory Management, Linked list using dynamic memory management, Linked List Abstract Data Type, Linked list operations,Head pointer and header node, Types of linked list- Linear and circular linked lists, Doubly Linked List and operations, Circular Linked List, Singly circular linked list, Doubly circular linked list, Polynomial Manipulations - Polynomial addition, Multiplication of two polynomials using linked list.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Weiss Published Computer Science. From the Publisher: Mark Allen Weiss provides a proven approach to algorithms and data structures using the exciting Java programming language as the implementation tool. With Java he highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Save to Library.
Data Structures and Algorithms. An introduction to elementary programming concepts in C. Jack Straub, Instructor. Version DRAFT.
This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes more acute. Paradoxically, this requires more careful attention to efficiency, since inefficiencies in programs become most obvious when input sizes are large. By analyzing an algorithm before it is actually coded, students can decide if a particular solution will be feasible.
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