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42.
A small test for the condestsp function: condestsp gives an estimate of
the condition number K1 in 1-norm of a real sparse matrix A:
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43.
without explicitly computing the inverse of A. condestsp uses a factorization given by
umf_lufact but if you have already computed this one it is recommended to give the pointer to the factorization.
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44.
The test consists in forming small sparse matrices (so as to compute K1 exactly with
norm(inv(full(A)),1)) whose values are chosen from the normal distribution.
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45.

Press Return to continue...
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46.
This test compares umfpack v3 and sparse v1.3 via their Scilab interface.
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47.
The test consists in loading Harwell-Boeing sparse matrices and solve linear system with a random rhs.
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48.
The matrices presented here come from the NIST server Matrix server:
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49.
Warning: tests 2 and 3 take much more time than the others.
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50.
Test 1: Jacobian of a nonlinear system of ordinary differential equations (ODEs) modeling a laser
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51.
Mean time and accuracy for umfpack (t1 and ||A*x-b||):
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Contributors to this translation: Allan CORNET, Julie PAUL, Scilab.team, Vincent Couvert, ycollet.