Syllabus
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1. Main directions of computational physics Hardware and software. Structured programming. Object oriented programming. *
2. Computer modelling Relation reality - model. Principles of mathematical and computer modelling. *
3. Monte Carlo method Basic techniques, generation of random numbers, transformation of random quantities. Application of Monte Carlo method in mathematics. Application of Monte Carlo in physics, transport problem. Other problems. *
4. Molecular dynamics method Basic techniques, working area, boundary conditions, force calculation, equations of motion. Problems. PIC method, techniques PIC-NGP and PIC-CIC. Modern efficient algorithms for the force calculations. *
5. Hybrid particle modelling *
6. Basic principles of fluid modelling Application of fluid modelling in physics. *
7. Hybrid modelling Combination of fluid and particle modelling. Application in physics.
Annotation
Main directions of classical computational physics. Basic techniques of computer modelling - Monte Carlo method, molecular dynamics method, fluid modelling, hybrid modelling.
Application of computer modelling in physics.