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1. Parameter optimization of linear ordinary differential equations with application in gene regulatory network inference problemsMaster-uppsats, KTH/Numerisk analys, NA
Sammanfattning : In this thesis we analyze parameter optimization problems governed by linear ordinary differential equations (ODEs) and develop computationally efficient numerical methods for their solution. In addition, a series of noise-robust finite difference formulas are given for the estimation of the derivatives in the ODEs. LÄS MER