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Computational Physics PHYS 395 (3)

Computer-based approaches to solving complex physical problems. Includes topics such as Monte-Carlo and molecular dynamics techniques applied to thermal properties of materials; dynamical behavior of systems, including chaotic motion; methods for ground state determination and optimization, including Newton-Raphson, simulated annealing, neural nets, and genetic algorithms: symplectic methods; and analysis of numerical data. Prerequisite: MATH 310, PHYS 255, CMPT 102, 120, or equivalent, with a minimum grade of C-. Recommended: PHYS 344 or equivalent. Quantitative.