Abstract

In computer programs for calculating animal model solutions, the memory requirement is 4 to 5 times smaller if the equations are ordered by effects nested in herds and not by factors. This study investigated further m em ory savings by ordering by clusters o f herds that exchange anim als. T he proposed clustering algorithm resulted in additional memory savings o f up to 39% . Using effective ordering and com puters with large virtual but small real memory, large problem s can be handled effectively by sim ple program s o r by general com puter packages.
 

Ignacy Misztal

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume XIII. Plenary lectures, molecular genetics and mapping, selection, prediction and estimation., , 374–377, 1990
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