SVD(...,DivideConquer=>...) -- Use the lapack divide and conquer SVD algorithm

Synopsis

• Usage:

  SVD(M, DivideConquer=>true)

Description

i1 : M = random(RR^200, RR^200);

                200         200
o1 : Matrix RR      <-- RR
              53          53

i2 : time SVD(M);
 -- used 0.0380586s (cpu); 0.0380578s (thread); 0s (gc)

i3 : time SVD(M, DivideConquer=>true);
 -- used 0.0453403s (cpu); 0.0453458s (thread); 0s (gc)

Further information

• Default value: true
• Function: SVD -- singular value decomposition of a matrix
• Option key: DivideConquer -- an optional argument

Functions with optional argument named DivideConquer :

• SVD(...,DivideConquer=>...) -- Use the lapack divide and conquer SVD algorithm