COSC 4364 Numerical Methods (Spring 2022)
Lennart Johnsson - Computer Science
| No | Lecture Name | Content | |
|---|---|---|---|
| 1 |  | Lecture01_Floating-Point_Number_representation |
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| 2 |  | Lecture02_MATLAB_Intro |
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| 3 |  | Lecture03_Matlab_Backwards_Error_Analysis_Horner's_Schema |
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| 4 |  | Lecture04_Taylor_Series_Gaussian_Elimination |
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| 5 |  | Lecture05_Gaussian_Elimination-II_Root_Finding-I |
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| 6 |  | Lecture06_Newton_Secant_Fixed-point_Methods |
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| 7 |  | Lecture07_Polynomial_Fitting |
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| 8 |  | Lecture08_Polynomial_Fitting_Differentiation |
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| 9 |  | Lecture09_Richardson_Extrapolation_Integration |
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| 10 |  | Lecture10_Trapezoid_Rule_Romberg_Formula_Simpsons_Rule |
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| 11 |  | Lecture11_Simpsons_rule_Newton-Cotes_Gaussian_Quadrature |
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| 12 |  | Lecture03_Matlab_Backwards_Error_Analysis_Horner's_Schema |
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| 13 |  | Lecture12_Splines |
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| 14 |  | Lecture13_Cubic_and_B-splines |
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| 15 |  | Lecture14_B-Splines_ODEs |
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| 16 |  | Lecture15_Review |
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| 17 |  | Lecture17_ODEs_Taylor_Runge-Kutta_Methods |
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| 18 |  | Lecture18_Ordinary_Differential_Equations |
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| 19 |  | Lecture19_Eigenanalysis |
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| 20 |  | Lecture20_Eigenanalysis |
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| 21 |  | Lecture21_Eigenanalysis_SVD |
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| 22 |  | Lecture22_SVD_Iterative_Equation_Solvers |
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| 23 |  | Lecture23_Least_Squares_Fit |
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| 24 |  | Lecture24_Least_Squares_Fit_Fourier_Series |
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| 25 |  | Lecture25_Fourier_Series_DFT_FFT |
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| 26 |  | Lecture26_FFT_Multi-dimensional_Real |
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| 27 |  | Lecture27_Pseudo_Random_Number_Generators |
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| 28 |  | Lecture28_Review |
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