Numerical Algorithms for Optimization Problems in Genetical Analysis

Numerical Algorithms for Optimization Problems in Genetical Analysis

The focus of this thesis is on numerical algorithms for efficient solution of QTL analysis problem in genetics. Firstly, we consider QTL mapping problems where a standard least-squares model is used for computing the model fit. We develop optimization methods for the local problems in a hybrid globa...

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Bibliographic Details
Main Author: Mishchenko, Kateryna
Format: Doctoral Thesis
Language:English
Published: Mälardalens högskola, Institutionen för matematik och fysik 2008
Subjects:
Quantitative Trait Loci (QTL)
restricted maximum likelihood (REML)
variance components
average information (AI) matrix
Local optimization
Quasi-Newton method
Active Set method
Hessian approximation
BFGS update
Applied mathematics
Tillämpad matematik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-650
http://nbn-resolving.de/urn:isbn:978-91-85485-84-0

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-650
http://nbn-resolving.de/urn:isbn:978-91-85485-84-0

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