Topic |
Sub-topic |
Concepts of error and the error propagation, algorithm stability and convergence. |
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Roots of nonlinear functions |
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Function approximation |
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Simulation of dynamical systems |
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Description |
Answering questions on individualized way in the teacher's office |
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Other comments and second exam session |
The evaluation will be a practical and a theoretical part. |
Basic |
Ronald W. Shonkwiler, Franklin Mendivil, Explorations in Monte Carlo Methods, última disponible, Springer
Forman S. Acton, Numerical Methods that Work, última disponible, Mathematical Association of America
Robert, Ch.P., Casella, G, Introducing Monte Carlo Methods With R , última disponible, Springer
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Complementary |
James E. Gentle, Random Number Generation and Monte Carlo Methods, última disponible, Springer
Suess, E.A., Trumbo, B.E., Introduction to Probability Simulation and Gibbs Sampling with R , última disponible, Springer
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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