Numerical Flow Simulation: Methods and Applications
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Introduces direct solution methods for numerical optimal control, emphasizing problem formulation, scaling, and practical tips for successful problem solving.
Covers the Conjugate Gradient method for solving linear systems without pre-conditioning, exploring parallel computing implementations and performance predictions.
Explores optical forces and their coupling with mechanical degrees of freedom, covering radiation pressure, optical tweezers, forces in deformable cavities, and complex geometries.
