Change Log - Revision history

Peter at 05:08, 18 May 2017

2017-05-18T05:08:33Z

Peter at 19:10, 9 November 2016

2016-11-09T19:10:14Z

Peter: /* Version 0.27 */

2015-08-09T18:52:22Z

Version 0.27

Peter: Created page with "== Version 0.27 == Data: 2015/04/01 * Added SimpleMatrix.randomNormal() for drawing numbers from a normal distribution with zero mean * Added EjmlUnitTests.assertEquals() an..."

2015-04-01T03:11:58Z

Created page with "== Version 0.27 == Data: 2015/04/01 * Added SimpleMatrix.randomNormal() for drawing numbers from a normal distribution with zero mean * Added EjmlUnitTests.assertEquals() an..."

New page

== 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.

@@ Line 1: / Line 1: @@
-== Version 0.30 ==
+== Version 0.31 ==
-/11/09
+/05/18
-* Thanks Peter Fodar for fixing misleading javadoc
+* Changed minimum Java version from 6 to 7
-* Fixed bug in computation of eigenvectors where the first eigenvalue was complex it would get messed up
+* Added SimpleEVD.getEigenvalues()
-**  Thanks user343 for reporting the bug!
+* Added SimpleSVD.getSingularValues()
-* Complex matrix multiplication
+* Fixed issue with generics and SimpleEVD and SimpleSVD
-** added multTransA variants
+* Auto generated float 32-bit support of all 64-bit code
-** added multTransB variants
+* SimpleMatrix
-** added multTransAB variants
+** Added support for float 32-bit matrices
-* Added the following complex decompositions
+** Replaced extractDiag() with diag() and changed behavior.
-** Hessenberg Similar Decomposition
+* Fixed Sized Matrix
-** Tridiagonal Similar Decomposition
+** Added MatrixFeatures
-* Added MatrixFeatures.isLowerTriangle()
+** Added NormOps
-* Added createLike() to all matrices
+** FixedOps
-** Creates a new matrix that is the same size and shape.  filled with zeros initially
+*** Discovered a bug in a unit test
-* Fixed CRandomMatrices.createHermitian()
+*** Fixed bugs in elementAbsMax() elementAbsMin() trace()
-* Fixed CMatrixFeatures.isHermitian()
+*** Improved the speed of element-wise max and min operations

@@ Line 1: / Line 1: @@
-== Version 0.28 ==
+== Version 0.30 ==
-Date: 2015/07/09
+/11/09
-* Equations
+* Thanks Peter Fodar for fixing misleading javadoc
-** Fixed bug where bounds for a submatrix-scalar assignment was being checked using col,row instead of row,col
+* Fixed bug in computation of eigenvectors where the first eigenvalue was complex it would get messed up
-** Thanks lenhhoxung for reporting this bug
+**  Thanks user343 for reporting the bug!
-* FixedOps
+* Complex matrix multiplication
-** Added vector equivalents for all element-wise matrix operations
+** added multTransA variants
-** Added multAdd operators
+** added multTransB variants
+** added multTransAB variants
-== Version 0.27 ==
+* Added the following complex decompositions
+** Hessenberg Similar Decomposition
-Date: 2015/04/01
+** Tridiagonal Similar Decomposition
+* Added MatrixFeatures.isLowerTriangle()
-* Added SimpleMatrix.randomNormal() for drawing numbers from a normal distribution with zero mean
+* Added createLike() to all matrices
-* Added EjmlUnitTests.assertEquals() and similar for SimpleMatrix
+** Creates a new matrix that is the same size and shape.  filled with zeros initially
-* Removed DenseMatrix64F.setReshape()
+* Fixed CRandomMatrices.createHermitian()
-** Matrix.set(matrix) will now reshape the matrix that's being assigned
+* Fixed CMatrixFeatures.isHermitian()