ml_linalg

• Matrix.fromList, Matrix.fromFlattenedList:
  • speed up

• Vector.randomFilled:
  • factory-constructor speed-up

• Vector.filled:
  • factory-constructor speed-up

• Vector.fromList:
  • factory-constructor speed-up

• README:
  • Add link to solve method api docs

• Vector:
  • Extracting values from cache for exp and prod methods fixed

• Matrix:
  • add solve method for solving a system of linear equations

• Lib migration to Dart 3.0.0 (only non-breaking changes)

• Vector:
  • Fixed typo in documentation for min method

• README:
  • added differences between vector_math and ml_linalg

• Matrix:
  • transpose method speed up

• Matrix:
  • Float32Matrix, Float64Matrix:
    • Matrix constructors replaced by specific ones

• Matrix:
  • mean: redundant code removed

• Matrix:
  • variance method speed up

Matrix: 'mean' method speed up (#160)

• Matrix:
  • prod method fixed

• Matrix:
  • max and min methods speed up

Matrix: Hadamard product speed up (#157)

Matrix: 'pow', 'sum', 'log', 'exp', 'prod' methods speed up (#156)

Matrix: 'norm' method (Frobenius case) speed up (#155)

Matrix: 'mapElements' speed up

• Matrix:
  • sample method speed up

Matrix: 'transpose' method fixed for oversized flattened list (#152)

Matrix: flattened SIMD list length fixed (#151)

• Matrix:
  • Little optimization for 'getRow' and 'getColumn'

Matrix: SIMD used in matrix-matrix operations (#148)

Matrix: SIMD used in matrix-scalar operations (#147)

Vector: typed list getters changed to functions (#146)

• Matrix:
  • Arithmetic operations speed up

• Matrix, Vector:
  • Multiplication speed up

• Matrix:
  • ByteData replaced with typed lists

• Matrix:
  • inverse method speed up (Forward substitution case)

• Matrix:
  • inverse method speed up (Backward substitution case)

• Matrix:
  • decompose method speed up (LU decomposition case)

• Matrix:
  • decompose method speed up (Cholesky decomposition case)

• Matrix:
  • transpose method speed up
  • fromByteData constructor added

• Vector:
  • Arithmetic operations: vector32-vector64 operations speed up

• Vector:
  • Arithmetic operations: replace 'List' with 'Iterable'

• README:
  • Add information on Vector creation to README

• README:
  • Add examples on vector arithmetic operations to README

• Vector:
  • Add compatibility for arithmetic operations between float32 and float64 vectors
  • Add compatibility for arithmetic operations with List class

• Vector:
  • fromList, randomFilled, filled constructors speed up

• Vector:
  • '+', '-', '/', '*' operators: acceptable types narrowed

• Matrix:
  • eigen method added, Power Iteration method added

• Vector:
  • hamming distance implemented

• Vector:
  • Added set method

• Vector:
  • Added median method

• Matrix:
  • Added variance method

• Vector:
  • Added filterElements method

• Matrix:
  • Added filterColumns method

• Matrix:
  • Added random constructor
  • Added randomSPD constructor
  • Optimized Cholesky decomposition
  • Optimized LU inverse
  • Optimized Cholesky inverse

• Added .g symbol to the names of all autogenerated files
• Matrix:
  • Optimised LU decomposition

• Added documentation for matrix decomposition and inversion

• Matrix:
  • Added LU inverse
  • Added backward substitution inverse

• Matrix:
  • Added LU decomposition

• Matrix:
  • Added extra test-cases for Cholesky decomposition

• Matrix:
  • Added Cholesky decomposition
  • Added inverse method:
    • Cholesky inverse
    • Forward substitution inverse for triangular matrices