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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.

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