Change Log

Version 0.27

Data: 2015/04/01

• Added SimpleMatrix.randomNormal() for drawing numbers from a normal distribution with zero mean
• Added EjmlUnitTests.assertEquals() and similar for SimpleMatrix
• Removed DenseMatrix64F.setReshape()
  • Matrix.set(matrix) will now reshape the matrix that's being assigned
• Triangle quality now just uses diagonal elements to scale results
• Support for complex matrices
  • Thanks IHMC (http://ihmc.us) for funding parts of this addition
  • Basic operations (e.g. multiplication, addition, ... etc)
  • LU Decomposition + Linear Solver
  • QR Decomposition + Linear Solver
  • Cholesky Decomposition + Linear Solver
  • Square Matrices: inverse, solve, determinant
  • Overdetermined: solve
• ComplexMath64F
  • Added sqrt(Complex64F)
• Tweaked matrix inheritance to better support the addition of complex matrices
• Added RandomMatrices setGaussian() and createGaussian()
• Changed how SimpleMatrix computes its threshold for singular values
  • Farley Lai noticed this issue
• Added SingularOps.singularThreshold()
• Added no argument rank and nullity for SVD using default threshold.
• SimpleMatrix.loadCSV() now supports derived types
• Added primitive 32bit data structures to make adding 32bit support in the future smoother
• Equation
  • 1x1 matrix can be assigned to a double scalar
  • When referencing a single element in a matrix it will be extracted as a scalar and not a 1x1 matrix.
  • Added sqrt() to parser
  • lookupDouble() will now work on 1x1 matrices
• CommonOps
  • Added dot(a,b) for dot product between two vectors
  • Added extractRow and extractColumn
• FixedOps
  • Added extractRow and extractColumn. Thanks nknize for inspiring this modification with a pull request
  • Added subtract and subtractEquals. Thanks nknize for the pull request
• Added determinant to Cholesky decomposition interface
• Added getDecomposition() to LinearSolver to provide access to internal classes, which can be useful in some specialized cases. Alternatives were very ugly.