Released v0.35

[Peter A]

Lots and lots of small changes. Printing has been revisited and the format of numbers has improved. Biggest changes are related to sparse matrices. Fixed a significant bug related to a size check on sparse matrices. Also flushed out functions are support is much more complete now.

----- Version 0.35

2018/08/24

- UtilEjml

  * solver = safe(solver) ensures solvers of any type don't modify their inputs

  * printFancy() best formatter of floating point numbers to string

- Matrix.print()

  * New default format and added the ability change the format

  * Printing using printFancy()

  * If format is specified as "matlab" it will print out in a format which can be pasted into Matlab

  * Fixed formatting of complex matrices

- Reshape output instead of exception

  * Changed dense matrix multiply to have this behavior

- ConvertDArrays

  * Methods for converting 2D arrays to and from EJML data types

- MatrixVectorMult_DSCC

  * Added mult(Matrix,Vector,Vector)

  * Added multAdd(Matrix,Vector,Vector)

  * Added mult(Vector,Matrix,Vector)

  * Added innerProduct(Vector,Matrix,Vector)

- CommonOps_DSCC

  * Added multAdd(sparse,dense,dense)

  * Added multTransA(sparse,dense,dense) multAddTransA(sparse,dense,dense)

  * Added multTransB(sparse,dense,dense) multAddTransB(sparse,dense,dense)

  * Added multTransAB(sparse,dense,dense) multAddTransAB(sparse,dense,dense)

  * Added extractDiag(sparse,dense)

  * Added innerProductLower(sparse,sparse) B = A'*A. Only lower triangle is saved in B

  * Added symmLowerToFull(sparse,sparse) for converting a lower triangular matrix into a symmetric matrix

  * Added column operations

  * Added multRows() divideRows() multCols() divideCols() multRowsCols() divideRowsCols()

- Added LinearSolverSparseSafe

- LinearSolverSparse

  * Changed lockStructure() to setStructureLocked( boolean )

- MatrixSparseTriplet

  * No longer uses individual classes for each element and instead uses an array

  * Java bloats classes and this should result in a large reduction in memory usage

- Sparse Solver

  * Added functions for solving sparse matrices

  * Improved efficiency of Triangle solve

  * Triangle sparse solve supports lower and upper tall matrices. Plus the transpose.

- SparseMatrix

  * added reshape(rows,cols) so that you don't need to specify nz_length when it doesn't matter.

- Improved exception messages for a few functions

- Changing it so that the output of various functions is reshaped so that it fits the input to make

  development less tedious

- SimpleMatrix

  * Fixed serialization

    - Thanks fa-dev1 for reporting the issue

  * Added elementMinAbs() because elementMaxAbs() was already included

- Examples

  * Improved Levenberg-Marquardt

    - Made it more like a "real" implementation and cleaned up the code

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"Now, now my good man, this is no time for making enemies."    — Voltaire (1694-1778), on his deathbed in response to a priest asking that he renounce Satan.