Algorithms in C

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Algorithms in C PDF

PDF NameAlgorithms in C
Published/Updated On
Category
RegionGlobal
No. of Pages672
PDF Size31.78 MB
LanguageEnglish
Source(s) / Creditsseriouscomputerist.atariverse.com

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Algorithms in C PDF - Overview

Algorithms in C Language
Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally created independent of underlying languages, i.e. an algorithm can be implemented in more than one programming language.

Algorithms in C by Robert Sedgewick is one of the popular books about C algorithms.

From the data structure point of view, following are some important categories of algorithms:

  • Search − Algorithm to search an item in a data structure.
  • Sort − Algorithm to sort items in a certain order.
  • Insert − Algorithm to insert item in a data structure.
  • Update − Algorithm to update an existing item in a data structure.
  • Delete − Algorithm to delete an existing item from a data structure.

Algorithms in C – Contents

  • Fundamentals
    1. Introduction
    2. C
    3. Elementary Data Structures
    4. Trees
    5. Recursion
    6. Analysis of Algorithms
    7. Implementation of Algorithms
  • Sorting Algorithms
    1. Elementary Sorting Methods
    2. Quicksort
    3. Radix Sorting
    4. Priority Queues
    5. Mergesort
    6. External Sorting
  • Searching Algorithms
    1. Elementary Searching Methods
    2. Balanced Trees
    3. Hashing
    4. Radix Searching
    5. External Searching
  • String Processing
    1. String Searching
    2. Pattern Matching
    3. Parsing
    4. File Compression
    5. Cryptology
  • Geometric Algorithms
    1. Elementary Geometric Methods
    2. Finding the Convex Hull
    3. Range Searching
    4. Geometric Intersection
    5. Closest-Point Problems 4
  • Graph Algorithms
    1. Elementary Graph Algorithms
    2. Connectivity
    3. Weighted Graphs
    4. Directed Graphs
    5. Network Flow
    6. Matching
  • Mathematical Algorithms
    1. Random Numbers
    2. Arithmetic
    3. Gaussian Elimination
    4. Curve Fitting
    5. Integration
    6. Adaptive Quadrature.
  • Advgnced Topics
    1. Parallel Algorithms
    2. The Fast Fourier Transform
    3. Dynamic Programming
    4. Linear Programming
    5. Exhaustive Search
    6. NP-Complete Problems
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