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Basic Concepts Chapter 1 Objectives
Use pseudocode in the development of algorithms Understand the need for Abstract Data Type (ADT) Understand the implementation of ADTs Use void pointers and pointer to functions Understand the role of Big-O notation Data Structures: A Pseudocode Approach with C, Second Edition
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Pseudocode Pseudocode is an English-like representation of the algorithm logic. It consists of an extended version of the basic algorithmic constructs: sequence, selection, and iteration. Algorithm Header Purpose, Condition, and Return Statement Numbers Variables Statment Constructs Algorithm Analysis Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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The Abstract Data Type An ADT consists of a data declaration packaged together with the operations that are meaningful on the data while embodying the structured principles of encapsulation and data hiding. In this section we define the basic parts of an ADT. Atomic and Composite Data Data Type Data Structure Abstract Data Type Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structure Aggregation of atomic and composite data into a set with defined relationships. Structure refers to a set of rules that hold the data together. A combination of elements in which each is either a data type or another data structure. A set of associations of relationship involving combined elements. Example: Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Abstract Data Type ADT users are NOT concerned with how the task is done but rather what it can do. An abstract data type is a data declaration packaged together with the operations that are meaningful for the data type. We encapsulate the data and the operations on the data, and then hide them from the user. All references to and manipulation of the data in a data structure are handled through defined interfaces to the structure. Data Structures: A Pseudocode Approach with C, Second Edition
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Model for an Abstract Data Type
In this section we provide a conceptual model for an Abstract Data Type (ADT). ADT Operation – passage like ADT Data Structure – controlled entirely Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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ADT Implementations There are two basic structures we can use to
implement an ADT list: arrays and linked lists. In this section we discuss the basic linked-list implementation. Array Implementation Linked List Implemenation Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Generic Code for ADT In this section we discuss and provide examples
of two C tools that are required to implement an ADT. Pointer to Void Pointer to Function Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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(Continued) Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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(Continued) Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Data Structures: A Pseudocode Approach with C, Second Edition
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Algorithm Efficiency Linear Loops Logarithmic Loops Nested Loops
To design and implement algorithms, programmers must have a basic understanding of what constitutes good, efficient algorithms. Linear Loops -Efficiency is a function of the number of intstructions. - Loop update either adds or subtracts. Logarithmic Loops -The controlling variable is either multiplied or divided in each iteration. - The number of iteration is a function of the multiplier or divisor. Nested Loops - The number of iterations is the total number which is the product of the number of iterations in the inner loop and number of iterations in the outer loop. Big-O Notation -Not concerned with exact measurement of efficiency but with the magnitude. - A dominant factor determines the magnitute. Data Structures: A Pseudocode Approach with C, Second Edition
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