Difference between revisions of "Change Log"
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(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...") |
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+ | == Version 0.28 == | ||
+ | |||
+ | Date: 2015/07/09 | ||
+ | |||
+ | * Equations | ||
+ | ** Fixed bug where bounds for a submatrix-scalar assignment was being checked using col,row instead of row,col | ||
+ | ** Thanks lenhhoxung for reporting this bug | ||
+ | * FixedOps | ||
+ | ** Added vector equivalents for all element-wise matrix operations | ||
+ | ** Added multAdd operators | ||
+ | |||
== Version 0.27 == | == Version 0.27 == | ||
− | + | Date: 2015/04/01 | |
* Added SimpleMatrix.randomNormal() for drawing numbers from a normal distribution with zero mean | * Added SimpleMatrix.randomNormal() for drawing numbers from a normal distribution with zero mean |
Revision as of 10:52, 9 August 2015
Version 0.28
Date: 2015/07/09
- Equations
- Fixed bug where bounds for a submatrix-scalar assignment was being checked using col,row instead of row,col
- Thanks lenhhoxung for reporting this bug
- FixedOps
- Added vector equivalents for all element-wise matrix operations
- Added multAdd operators
Version 0.27
Date: 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.