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Mathematics, MATLAB Version 7.9 (R2009b)

New features and changes introduced in this version are:

Computational Geometry Functions Being Changed

2- and 3-D computational geometry functions (delaunay, convhull, griddata, voronoi, delaunay3, griddata3) no longer use QHULL or the QHULL options arguments. The N-D functions gridatan, delaunayn, convhulln, and voronoin still use QHULL.

Compatibility Considerations

The QHULL options arguments to delaunay, convhull, griddata, and voronoi are no longer required and are currently ignored. Support for these options will be removed in a future release.

Computational Geometry Functions Being Removed

A future release will remove the griddata3, dsearch, tsearch, and delaunay3 functions. See the table below for alternatives.

Function NameUse This Method Instead
griddata3TriScatteredInterp
dsearchDelaunayTri/nearestNeighbor
tsearchDelaunayTri/pointLocation
delaunay3DelaunayTri

Compatibility Considerations

Update your old code to use the new computational geometry classes DelaunayTri and TriScatteredInterp.

New Sparse Matrix Functionality In qr and mldivide Functions

mldivide supports complex rectangular sparse input matrices. qr supports complex sparse input matrices. qr for sparse matrix input now supports a third output argument that contains a fill-reducing permutation.

Support for Large-Sized Dimensions In fft

MATLAB functions fft, fft2, and fftn (and their inverses ifft, ifft2, and ifftn) can now handle input arrays with a size in 1 dimension greater than on 64-bit platforms.

Performance Improvement For Large Data Sets

erfcore Being Removed

Use of erfcore will produce a warning:

ERFCORE will be removed in a future release.
Use ERF, ERFC, ERFCX, ERFINV, or ERFCINV instead. 

Compatibility Considerations

Replace all instances of erfcore with erf, erfc, erfcx, erfinv, or erfcinv.

New Multithreading Capability

Many MATLAB functions are now multithreaded:

New Test Matrices in gallery Function

The gallery suite of test matrices includes new options integerdata, normaldata, and uniformdata.

  


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