Linear data structure pdf

Insert operation is to insert one or more data elements into an array. Based on the requirement, new element can be added at the beginning, end or any given index of array. Here, we see a practical implementation of insertion operation, where we add data at the end of the array − Algorithm Let Array is a linear unordered array of MAX elements LINEAR DATA STRUCTURES George Asante OUTLINE Arrays Linked List Stack Queue ARRAY An array is a collection of homogeneous (same type) data elements described by a single name. Each element of an array is referenced by a subscripted variable or value, called subscript or index enclosed in parenthesis. The index starts from zero. While in non-linear data structure, data elements can't be traversed in a single run only. 5. In a linear data structure, memory is not utilized in an efficient way. While in a non-linear data structure, memory is utilized in an efficient way. 6. Its examples are: array, stack, queue, linked list, etc. a. Keep one node as head and traverse another temp node till the end to check if its 'next points to head. B. Have fast and slow pointers with the fast pointer advancing two nodes at a time and slow pointer advancing by one node at a time. c. Cannot determine, you have to pre-define if the list contains cycles. Title: linear and non linear data structure Author: CamScanner Subject: linear and non linear data structure Ming Zhang"Data Structures and Algorithms " Linear structure •Features Uniformity: Although the data elements of different linear lists may be diverse, but the data elements of the same linear list normally have the same data type and length Orderliness: each data element has its own position in A data structure with homogeneous elements is linear if it organizes its elements into a sequence. In a computer, each data structure is finite in terms of the number of its elements. A linear data structure has a first and a last element. Each of the other elements in the linear data structure has a predecessor and a successor. Keywords Graphs :- Graph is a mathematical non-linear data structure capable of representing many kinds of physical structures. It has found applications in diverse fields like geography, chemistry and engineering sciences. Types of Graphs Directed Graph Non-directed Graph Connected Graph Non-Connected Graph Simple Graph Multi Graph a. Linear and Non-linear data structures. b. Homogeneous and heterogeneous data structure. c. Static and dynamic data structure. 3. Discuss the Big-O notation. Using the example, explain the steps involved in deriving the Big-O notation from time complexity function. Discuss the various properties of Big-O notation. 4. a) Discuss the following Linear and Non-linear Data Structures •Linear Data Structure: Linear data structures can be constructed as a continuous arrangement of data elements in the memory. It can be constructed by using array data type. In the linear Data Structures the relationship of adjacency is maintained between the data elements. •Non-linear Lecture 2 : Module I : Introduction to Data & file structures. Lecture 3 : Linear data Structures - Linked list and applications Lecture 4 : Stack and Queue Lecture 5 : Module II : Introduction to Non- Linear data structures Lecture 6 : General Trees , Binary Trees, Conversion of general tree to binary Lecture 7 : Binary Search Tree Well, a better approach is to use a link structure. A linked list, as the name depicts, consists of a link