Algorithms in C

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
  8. Elementary Sorting Methods
  9. Quicksort
  10. Radix Sorting
  11. Priority Queues
  12. Mergesort
  13. External Sorting
• Searching Algorithms
  14. Elementary Searching Methods
  15. Balanced Trees
  16. Hashing
  17. Radix Searching
  18. External Searching
• String Processing
  19. String Searching
  20. Pattern Matching
  21. Parsing
  22. File Compression
  23. Cryptology
• Geometric Algorithms
  24. Elementary Geometric Methods
  25. Finding the Convex Hull
  26. Range Searching
  27. Geometric Intersection
  28. Closest-Point Problems 4
• Graph Algorithms
  29. Elementary Graph Algorithms
  30. Connectivity
  31. Weighted Graphs
  32. Directed Graphs
  33. Network Flow
  34. Matching
• Mathematical Algorithms
  35. Random Numbers
  36. Arithmetic
  37. Gaussian Elimination
  38. Curve Fitting
  39. Integration
  40. Adaptive Quadrature.
• Advgnced Topics
  40. Parallel Algorithms
  41. The Fast Fourier Transform
  42. Dynamic Programming
  43. Linear Programming
  44. Exhaustive Search
  45. NP-Complete Problems

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