Mathematics
15-15
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
• MATLAB includes improved sparse matrix performance for indexing, basic math,
binary and relational operators, and exponential functions.
• There are significant performance improvements to conv2.
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:
• sort
• bsxfun
• mldivide for sparse rectangular matrix input
• qr for sparse matrix input
• filter for matrices and higher-dimensional arrays
• gamma, gammaln
• erf, erfc, erfcx, erfinv, erfcinv
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