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graph LR
    Number_Theory["Number Theory"]
    Cryptography["Cryptography"]
    String_Algorithms["String Algorithms"]
    Matrix_Operations["Matrix Operations"]
    Data_Compression["Data Compression"]
    Polynomial_Math["Polynomial Math"]
    Cryptography -- "uses" --> Number_Theory
    String_Algorithms -- "uses" --> Number_Theory
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Details

One paragraph explaining the functionality which is represented by this graph. What the main flow is and what is its purpose.

Number Theory

Provides fundamental algorithms for number theory, primarily focused on integers. These are foundational utilities used by more complex components.

Related Classes/Methods:

  • algorithms.math.gcd
  • algorithms.math.prime_check
  • algorithms.math.extended_gcd

Cryptography

Implements cryptographic algorithms. This component demonstrates the application of number theory to secure communications.

Related Classes/Methods:

  • algorithms.crypto.rsa

String Algorithms

Implements a collection of algorithms for string pattern matching, searching, and manipulation.

Related Classes/Methods:

  • algorithms.string.rabin_karp
  • algorithms.string.min_distance
  • algorithms.string.lcs

Matrix Operations

Offers a suite of algorithms for common matrix operations, including inversion, determinant calculation, and exponentiation.

Related Classes/Methods:

  • algorithms.matrix.matrix_inversion
  • algorithms.matrix.get_determinant
  • algorithms.matrix.matrix_exponentiation

Data Compression

Contains algorithms for lossless data compression, demonstrating techniques to reduce data size.

Related Classes/Methods:

  • algorithms.compression.huffman_coding
  • algorithms.compression.elias_gamma

Polynomial Math

Provides functions for algebraic operations on polynomials.

Related Classes/Methods:

  • algorithms.math.polynomial