v0.59.0

New Features

• Add population and sample kurtosis
• Changed default kurtosis algorithm to the more common population kurtosis
• kurtosis now takes an optional parameter to set the kurtosis type algorithm

v0.58.0

Improvements

• Changed default skewness algorithm to the more common sample skewness
• skewness now takes an optional parameter to set the skewness type algorithm
• Improvements to skewness algorithms

v0.57.0

New Features

• Number\Rational basic getters
  • getWholePart
  • getNumerator
  • getDenominator
• Set Theory n-ary Cartesian product

Improvements

• Data direction control for Matrix meanDeviation and covarianceMatrix
• Algebra factors performance improvement

v0.56.0

New Features

• Number Theory
  • isDeficientNumber
  • isAbundantNumber
  • aliquotSum
  • radical
  • totient
  • cototient
  • reducedTotient
  • mobius
  • isSquarefree
  • isRefactorableNumber
  • isSphenicNumber
  • numberOfDivisors
  • sumOfDivisors

Improvements

• Optimization of prime factorization algorithm

v0.55.0

New Features

• Arbitrary length integers

Improvements

• Factorial optimization

v0.54.0

New Features

• Matrix isNilpotent
• Matrix isRectangularDiagonal
• Matrix mapRows
• MathPHP logo

Improvements

• MatrixFactory random matrix custom lower and upper bounds for random number
• PSR-12 style compliance
• Bugfix: powerIteration random failure - Issue 346

v0.53.0

New Features

• Matrix QR decomposition using Householder reflections
• Matrix Householder transformation
• MatrixFactory random matrix
• MatrixFactory givens rotation matrix
• Matrix isIdempotent
• Matrix Eigenvalue power iteration
• Matrix Eigenvalue jacobi method
• Arithmetic root (nᵗʰ root)
• Vector arithmetic multiply and divide
• Vector Iterator interface

Improvements

• Internal improvements to Matrix
• Matrix decompositions returned as objects
• Matrix Cholesky decomposition provides L transpose

v0.52.0

New Features

• Grubb's test for statistical outliers

v0.51.0

New Features

• Matrix rowSums
• Matrix columnSums
• Matrix rowMeans
• Matrix columnMeans
• Matrix isNormal
• MatrixFactory diagonal matrix creation method
• MatrixFactory vandermonde matrix creation method

Improvements

• Set custom Matrix tolerances
• Various internal improvements

Backwards Incompatible Changes

• Remove Matrix sampleMeans (use rowMeans or columnMeans instead)
• MatrixFactory create method only works with 2d arrays. 1d arrays no longer work. (use diagonal and vandermonde factory methods instead)
• Statistics methods throw exceptions instead of returning null on bad input
• Change return type of LagrangePolynomial to Polynomial

v0.50.0

New Features

• Matrix isOrthogonal
• Matrix isEqual
• Harmonic sequence
• Hyperharmonic sequence
• Map\Single reciprocal

Improvements

• Support methods for almost equal
• Matrix getDiagonalElements works for non-square matrices
• Use more efficient algorithm in Matrix isSymmetric
• Use more efficient algorithm in Matrix isSkewSymmetric

Backwards Incompatible Changes

• Statistics methods throw exceptions instead of returning null on bad input