Contiguous list

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  • Linear List Concepts List ADT Specifications for List ADT Implementations of List ADT Contiguous List Singly Linked List Other Linked Lists Comparison of Implementations of List Linear List Concepts DEFINITION: Linear List is a data structure where each element of it has a unique successor. element 1 element 2 element 3 .Linear List Concepts (cont.) .Linear List Concepts (cont.) General list: • No restrictions on which operation can be used on the list • No restrictions on where data can be inserted/deleted.

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  • Sequential Search In an unordered list In an ordered list Binary Search Forgetful Version Recognizing Equality Comparison Tree Linked List vs. Contiguous List .Searching We are given a list of records. Each record is associated with a key. We are given one key (target), and are asked to search the list to find the record(s) whose key is the same as the target. May be more than one record with the same key.

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  • Linear List Concepts FIFO (Queue) .Queue - FIFO data structure • Queues are one of the most common of all data-processing structures. • Queues are used where someone must wait one's turn before having access to something. • Queues are used in every operating system and network: processing system services and resource supply: printer, disk storage, use of the CPU,... • Queues are used in business online applications: processing customer requests, jobs, and orders. .

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  • Contiguous Stack Applications of Stack .Linear List Concepts LIFO (Stack) .Stack ADT DEFINITION: A Stack of elements of type T is a finite sequence of elements of T, in which all insertions and deletions are restricted to one end, called the top. Stack is a Last In - First Out (LIFO) data structure. Basic operations: • Construct a stack, leaving it empty. • Push an element. • Pop an element. • Top an element.

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  • In this presentation, we covered: Dealing with node-based allocation with arrays; internally, it is still a linked list, only the nodes are contiguous in memory; it is no longer necessary to call the operating system for each new node; doubling the memory used is straight-forward; to halve the memory used, we just follow the linked list.

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