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Types of data structure - linear and non linear data structure

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Types of data structure- linear data structure and non linear data structure 1. Linear Data Structures: Linear data structures organize and store data elements sequentially, meaning each element is connected to its previous and next elements in a linear order. Examples include arrays, linked lists, stacks, and queues. Arrays store elements in contiguous memory locations and allow random access to elements based on their index. Linked lists consist of nodes where each node contains data and a reference to the next node, allowing dynamic memory allocation and efficient insertion/deletion operations.   Stacks and queues are abstract data types that follow specific order rules: Last In, First Out (LIFO) for stacks and First In, First Out (FIFO) for queues. 2. Non-linear Data Structures:    Non-linear data structures organize and store data elements in a hierarchical or non-sequential manner, where each element may have multiple connections to other elements Examples includ...
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Performance analysis and measurement (time and space complexity)

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Performance analysis and measurement algorithm Performance analysis and measurement in data structures involve evaluating the efficiency and effectiveness of different data structure implementations based on various metrics such as time complexity, space complexity. Overall, performance measurement analysis in data structures is essential for optimizing program efficiency, managing resources effectively, ensuring scalability, making informed decisions, and delivering a positive user experience. It's a critical aspect of software development that helps us build better-performing and more reliable programs. Here's a explanation of the key concepts of performance analysis and measurement in data structure: 1. Time Complexity: Time complexity measures the amount of time an algorithm or operation takes to execute as a function of the input size.  It provides an estimate of the algorithm's efficiency and helps predict how the execution time will change as the input size increases...
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Introduction of data structure

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What is data structure?  A data structure is a method for organizing and storing data within a computer system to enable efficient access and manipulation. It defines the relationships between the data elements and the operations that can be performed on them. Examples include arrays, linked lists, trees, and graphs. A real-life example of a data structure is a library's catalog system.   Just like how data is organized in a computer, books in a library are structured in a certain way for efficient retrieval.  The catalog system could use various data structures like arrays (for organizing books by their ISBN numbers), linked lists (for managing book checkout queues), or trees (for categorizing books by genre or author). Data types : primitive data types and non primitive data types In data structures, data types can be categorized as primitive and non-primitive (composite) data types. Here's an overview of each: 1. Primitive Data Types: Integers :Represent whole num...
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