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Introduction to Numerical Computation & Basic Python Programming
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Engineering problem solving using analytical and numerical methods considerations on numerical errors
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mathematical modelling, series expansion, approximation functions, Roots of single- and multiple-variable functions, root of polynomials
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Linear and nonlinear regressions, interpolation, and extrapolation, Fourier analysis
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Direct methods and iterative methods for solving linear and non-linear systems of equations
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Eigenvalue problems, spectral decomposition, singular value decomposition
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Numerical differentiation and integration, boundary-value problems, solving ODE: Euler's method, Runge-Kutta method, shooting methods, relaxation methods, finite difference method, finite element method,
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Introduction to PDE
- ผู้สร้างคอร์ส: รศ. ดร.อาทิตย์ ศรีแก้ว