User`s guide

Mathematics
13-11
Mathematics
New Multithreading Capability
MATLAB's new multithreading capability now includes:
• fft for long vectors
• The two-input form of conv2
• Integer conversion and arithmetic
Performance Improvements
MATLAB features significant performance improvements for:
• Sparse matrix indexed assignment and deletion
• bvp4c and bvp5c for sparse problems
• sortrows
• mrdivide (/)
• convn
• histc
Changes To qr
The factorization routine in qr produces an upper triangular matrix, R. Now this matrix
always contains real and nonnegative diagonal elements. In previous releases, the
diagonal of R could contain complex and negative elements.
Compatibility Considerations
R now contains only real, nonnegative diagonal elements. The QR factorization is not
unique, so the answer is still correct.
Change in Indexing for Sparse Matrix Input
Now subscripted reference into a sparse matrix always returns a sparse matrix. In
previous versions of MATLAB, using a double scalar to index into a sparse matrix
resulted in full scalar output.