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The course deals with methods for approximation of functions, derivatives and integrals, with methods for solving linear and nonlinear algebraic equations, with methods for solving ordinary/partial differential equations with initial/boundary conditions, and with methods for experimental data evaluation. By learning these numerical methods students will gain insight into problem formulation and develop the ability to derive a problem solution and estimate its accuracy.
Last update: TAJ413 (17.07.2013)
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R: M. Kubíček, M. Dubcová, D. Janovská, Numerical Methods and Algorithms, http://www.vscht.cz/mat/Ang/NM-Ang/NM-Ang.pdf A: J. F. Epperson: An Introduction to Numerical Methods and Analysis,Wiley, New York, 2002, ISBN 0-471-31647-4
Last update: TAJ413 (15.07.2013)
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Lectures and exercise classes. Last update: TAJ413 (17.07.2013)
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1. Interpolation, difference formulas, quadrature formulas. 2. Methods of linear algebra. 3. Systems of nonlinear equations. Newton method. 4. Linear and nonlinear regression. Gauss-Newton method. 5. Initial value problem for ODE´s. One-step methods. 6. Multistep methods. 7. Stability. Error estimation. 8. Stiff systems. A-stable methods. 9. Boundary value problem for ODE´s. 10. Finite-difference methods. 11. Shooting methods. 12. Finite-difference methods for PDE´s of parabolic type. 13. Methods of lines. 14. Finite-difference methods for PDE´s of elliptic type. Last update: Dubcová Miroslava (09.11.2012)
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http://www.vscht.cz/mat/Ang/NM-Ang/e_nm_semin.html http://www.vscht.cz/mat/Ang/NM-Ang/NM-Ang.pdf Last update: Dubcová Miroslava (15.07.2013)
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Students will be able to formulate mathematical models using algebraic or differential equations. They will gain an overview of the commonly used numerical methods and they will learn how to determine the accuracy of numerical solutions. Last update: TAJ413 (16.07.2013)
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Mathematics I, Mathematics II Last update: TAJ413 (16.07.2013)
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