advance_math 1.0.0

Advance math is a robust Dart library extending mathematical capabilities beyond vectors and matrices. It includes complex numbers, advanced linear algebra, statistics, geometry, and more, enabling di [...]

1.0.0

• Moved codes and reorganized functions
• Fixed bugs

0.1.8

• Fixed bugs (in null space)

0.1.7

• Added rescale for both vectors and matrix
• Improved vector compatibility with lists
• Added operations on vectors such as expo, sum, prod, etc.
• Fixed normalize function with options on the norm to use
• Fixed Norm with options
• Fixed bugs

0.1.5

• Added support for distance calculation for vectors and matrices
• Improved consistency in linear algebra
• Added scale for vector types

0.1.4

• Spercial matrices and vectors their functionalities
• Fixed spellings in matrix structure properties
• Added functions partioning of vectors subVector() and getVector()
• Improved subMatrix() function
• Fixed README

0.1.2

• Fixed spellings in matrix structure properties
• Added Vectors, Complex Numbers, and Complex Vectors to README
• Fixed README

0.1.1

• Fixed README

0.1.0

• Improved indexOf() and random functionalities
• Fixed README
• Fixed bugs

0.0.9

• Started benchmarking
• Implemented matrix form rows and columns
• Implemented Vectors, Complex nyumbers and Complex Vectors
• Improved copyFrom() to retain or resize matrices
• Improved matrix concatenate
• Fixed README
• Corrected anonotations
• Fixed bugs

0.0.8

• Added Exponential, logarithmic, and Matrix power (generalized, not just integer powers)
• Added support to create from flattened arrays
• Clean codes
• Fixed bugs

0.0.7

• Fixed matrix round
• Fixed corrected README
• Fixed bugs

0.0.6

• Added matrix broadcast and replicate matrix
• Added pseudoInverse of a matrix
• Fixed corrected README
• Fixed bugs

0.0.5

• Added linear equation solver (cramersRule, ridgeRegression, bareissAlgorithm, inverseMatrix, gaussElimination, gaussJordanElimination, leastSquares, etc.)
• Added function to compute matrix condition number with both SVD and norm2 approaches.
• Added matrix decompositions
  • • LU decompositions
    • • Crout's algorithm
    • • Doolittle algorithm
    • • Doolittle algorithm with Partial Pivoting
    • • Doolittle algorithm with Complete Pivoting
    • • Gauss Elimination Method
  • • QR decompositions
    • • QR decomposition Gram Schmidt
    • • QR decomposition Householder
  • • LQ decomposition
  • • Cholesky Decomposition
  • • Eigenvalue Decomposition (incomplete)
  • • Singular Value Decomposition
  • • Schur Decomposition
• Added matrix condition
• Added support for exponential, logarithmic, and trigonometric functions on matrices
• Added more matrix operations like scale,norm, norm2, l2Norms,
• Added support for checking matrix properties.
• Added class for Complex numbers
• Added support for to auto detect matrix types.
• Added scaleRow and addRow operations.
• Implemented new constructors like tridiagonal matrix
• Modified the Matrix.diagonal() to accept super-diagonal, diagonal, minor diagonals.
• Implemented Iterator and Iterable interfaces for easy traversal of matrix elements
• Provide methods to import and export matrices to and from other formats (e.g., CSV, JSON, binary)
• Fixed bugs

0.0.3

• Improved the arithmetic (+, -, *) functions to work for both scalars and matrices
• Updated range to create row and column matrices
• Added updateRow(), updateColumn, insertRow, insertColumn, appendRows, appendColumns
• Added creating random matrix
• Added more looks and feel to the toString() method
• Corrected some wrong calculations
• Fixed bugs
• Fix README file

0.0.2

• Added info on the README file.
• Added more functionalities
• Fixed bugs
• Tests now works with most of the functions

0.0.1

• initial release.