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Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding of Data Structures needed to understand the complexity of enterprise-level applications and need of algorithms, and data structures. Graph: A more general branching structure, with less strict connection conditions than for a tree Type of Data Structures Homogenous: In this type of data structures, values of the same types of data are stored. Array Non-Homogenous: In this type of data structures, data values of different types are grouped and stored. Complexity analysis involves two distinct phases: • Algorithm Analysis: Analysis of the algorithm or data structure to produce a function T (n) that describes the algorithm in terms of the operations performed in order to measure the complexity of the algorithm. GATE Syllabus: Algorithms: Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case analysis; Design Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, Scope, Binding; Abstract data types, Arrays, Stacks...