Computational Physics: Understanding and Optimization

Related lectures (30)

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Explores optimization problems to find global extrema of functions and shapes.

Explores quantum density matrix, mixed states, von Neumann entropy, and quantum measurements.

Introduces microscopy techniques, birefringence in optics, and elliptically polarized light generation.

Explores heuristic optimization methods to find the global optimum efficiently.

Explores optimization with inequality constraints, emphasizing finding extreme values and stationary points.

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Covers the mechanisms behind quantum computation and explores the advantages of restricted computational models.

Explores recent progress in quantum computational advantage and discusses the challenges in achieving quantum supremacy.

Explores the generation, manipulation, and applications of polarized light using techniques like polarizers and wave plates.