Data Structures In C C++ Tanenbaum Pearson

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Data Structures through C++

OBJECTIVES:

• To be accustomed to basic techniques handling issues with knowledge structures • Solve issues exploitation knowledge structures like linear lists, stacks, queues, hash tables

UNIT-I:

ARRAYS Abstract knowledge sort, The Array as associate Abstract knowledge sort, The Polynomial Abstract knowledge type-Polynomial Representation- Polynomial Addition. Spares Matrices, Introduction- distributed Matrix Representation- Transposing a Matrix- matrix operation, illustration of Arrays.

UNIT-II:

Data Structures In C C++ Tanenbaum Pearson Correlation

Pearson

STACKS AND QUEUES The Stack Abstract knowledge sort, The Queue Abstract knowledge sort, analysis of Expressions, Expression- ending Notation- Infix to ending.

UNIT-III:

joined LISTS Single joined List and Chains, Circular Lists, on the market area Lists, joined Stacks and Queues, Polynomials, Polynomial illustration- Adding Polynomials- Circular List Representation of Polynomials, Equivalence categories, distributed Matrices, distributed Matrix Representation- distributed Matrix Input- Deleting a distributed Matrix, Doubly joined Lists, Generalized Lists, illustration of Generalized Lists- algorithmic Algorithms for Lists- Reference Counts, Shared and algorithmic Lists

UNIT-IV:

TREES illustration of Trees, Binary Trees, The Abstract knowledge sort, Properties of Binary coiffure, Binary Tree Representations, Binary Tree Traversal, Introduction, Inorder Traversal Preorder Traversal, Postorder Traversal, Thread Binary Trees, Threads, Inorder Traversal of a rib Binary Tree, Inserting a Node into a rib Binary Tree, Heaps, Priority Queues, Definition of a liquid ecstasy Heap, Insertion into a liquid ecstasy Heap, Deletion from a liquid ecstasy Heap, Binary Search Trees, Definition, looking a Binary Search Tree, Insertion into a Binary Search Tree, Deletion from a Binary Search Tree, Height of Binary Search Tree.

UNIT-V:

GRAPHS The Graph Abstract knowledge sort, Introduction, Definition, Graph illustration, Elementary Graph Operation, Depth 1st Search, Breadth 1st Search, Connected elements, Spanning Trees, Biconnected elements, Minimum value Spanning Trees, Kruskal S algorithmic program, Prim s algorithmic program, Sollin’s algorithmic program, Shortest ways and transitive Closure, Single Source/All Destination: plus Edge value, Single Source/All Destination: General Weights, All-Pairs Shortest Path, transitive Closure.

I Year – II Semester
L T P C
4 0 0 3
DATA STRUCTURES

UNIT-VI:

SORTING Insertion type, Quick Sort, Merge type Merging, reiterative Merge type, algorithmic Merge type, Heap Sort, outline of Internal Sorting

OUTCOMES:

Data Structures In C C++ Tanenbaum Pearson Answers

• Apply advanced organisation ways for exploring complicated knowledge structures.

• Compare and distinction numerous knowledge structures and style techniques within the space Of Performance.

• Implement all knowledge structures like stacks, queues, trees, lists and graphs and compare their Performance and trade offs

Text Books:

  1. knowledge structures, Algorithms and Applications in C++, S.Sahni, University Press (India) Pvt.Ltd, second edition, Universities Press Orient Longman Pvt. Ltd.
  2. knowledge structures and algorithmic program Analysis in C++, Mark Allen Weiss, Pearson Education. Ltd., Second Edition.
  3. knowledge structures and algorithms in C++, third Edition, Adam Drozdek, Thomson
Pearson

Data Structures In C C++ Tanenbaum Pearson 11th

Reference Books:

  1. knowledge structures and algorithmic program Analysis in C++, Mark Allen Weiss, Pearson Education. Ltd., Second Edition.
  2. knowledge structures exploitation C and C++, Langsam, Augenstein and Tanenbaum, PHI.
  3. downside finding with C++, The OOP, Fourth edition, W.Savitch, Pearson education.

Data Structures In C C++ Tanenbaum Pearson Textbook

  • emphasizes both the abstract and the concrete versions of a concept, so that students learn about the concept itself, its implementation, and its application.
  • explains and analyzes algorithms — showing step-by-step solutions to real problems.
  • presents algorithms as intermediaries between English language descriptions and C programs. The algorithms:
    • are written in C style, interspersed with English.
    • allow students to focus on the method used to solve a problem without concern about declaration of variables and the peculiarities of real languages.
    • In transforming an algorithm into a program, introduces these issues and points out the pitfalls which accompany them.
  • implements each data structure in a variety of ways to show trade-offs and advantages.
  • NEW—covers the C++ language.
    • requires no specific background in C++.
    • introduces the features of C++ in early chapters, showing how they can be used in implementing data structures.
    • covers classes in C++, including function members, inheritance and object orientation, an example of implementing abstract data types in C++, as well as polymorphism.
    • adds an implementation of stacks in C++ using templates, showing how complex data structures can be parameterized for different base types.
    • shows how linked lists can be implemented in C++, showing the limitations, as well as the power, of encapsulation in implementing data structures. Also discusses C++ dynamic allocation and freeing of storage.
  • contains a wealth of tested and debugged programs and algorithms.
    • NEW—revises all C programs to meet ANSI standards.
  • provides nearly 400 problems/exercises that vary widely in type and difficulty:
    • drill exercises.
    • exercises that require modification of programs or algorithms.
    • more challenging exercises.
    • groups of successive exercises that include the complete development of a new topic and that can be used as the basis for a term project.
  • features a large bibliography of both C and C++ sources.