Mathematical Models for Nano Science - Politecnico di Milano
Mathematical Models for Nano Science - Politecnico di Milano
Mathematical Models for Nano Science - Politecnico di Milano
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Numerical Approach<br />
Rothe method<br />
• Fully coupled system<br />
• Strongly nonlinear equations<br />
• Time <strong>di</strong>scretization with Runge-Kutta methods<br />
• Linearization of the problems<br />
• Spatial <strong>di</strong>scretization<br />
Functional iteration algorithms<br />
• Newton method: faster convergence but less robust.<br />
• Gummel map: staggered algorithm, (possibly) slower but<br />
robust. Also useful as a solution map <strong>for</strong> the analysis of<br />
existence/uniqueness.