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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
TREES
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

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phase-field models

Nonlinear energy stability for phase-field models: Numerics and analysis

Prof. Tao Tang

Dec 5, 16:00 - 17:00

B5 L5 R5209

phase-field models

Coffee Time: 15:30 - 16:00. The phase-field model, a powerful modeling tool for dealing with interface problems, has been widely used in various fields such as computational physics, computational biology, materials engineering, and even image processing. The dissipation of free energy is an important and fundamental property of the phase-field model.

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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