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Development and Verification of Nuclear Calculation Methods for ...

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- 19-<br />

A D » =(A L +A^)«* k. (4.20)<br />

from which follows the block Jacobi iterative method<br />

,. = A^A^-A^,._, + A^1 k , (4.21)<br />

B<br />

B is the block Jacobi matrix.<br />

Similarly the block successive overrelaxation iterative method is defined<br />

by (ref. 14)<br />

tj = (I - «A^ A L )-' {»A" 1 A u+ (|_.) I j f ] _, +<br />

»(I - «A£' A L )-' A^1 k . (4.22)<br />

where L H is the block successive overrelaxation matrix. I is the unit<br />

matrix <strong>and</strong> u the relaxation factor 0 ( u ( 2. When I < w (• ( 1),the<br />

iteration scheme (4.22) is referred to as overrelaxation (underrelaxation).<br />

4.2.3. The Optimum Relaxation Factor<br />

The fundamental convergence accelerating method <strong>for</strong> the inner iterations<br />

is that <strong>of</strong> finding the value <strong>of</strong> «• = «. that maximizes the rate <strong>of</strong><br />

convergence, or in other words minimizing <strong>of</strong> the largest eigenvalue, the<br />

spectral radius i»(L ), <strong>for</strong> the L matrix relating successive error vectors.<br />

with<br />

«j° L „«j.1 < 4 - 83 ><br />

e j"<br />

9 i~ *J-i '<br />

l4 " 24,<br />

A is a consistently ordered 2-cyclic matrix, <strong>and</strong> the relationship between<br />

any eigenvalue i» (L ) <strong>for</strong> the L matrix <strong>and</strong> Its associated eigenvalue<br />

u(B) <strong>for</strong> the Jacobi matrix B Is as follows:

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