## Numerical Computation

Provides fundamental numerical algorithms including linear computations, Fourier transform, ordinary differential equations, finite element method, random numbers, digital filtering, and digital image processing. Students will write programs on these topics to understand and to use practically the alogorithms. (Dept. Mechanical Eng. / Robotics, B3)

 1st 4/10 Introduction: Analytical solution, Numerical solution 2nd 4/17 MATLAB: vectors and matrices, matrix manipulation, graphs 3rd 4/24 ODE: canonical forms of ordinary differential equations, Euler/Heun/Runge-Kutta methods 4th 5/ 1 ODE: Runge-Kutta-Fehlberg method, holonomic constraints, constraint stabilization method (CSM) 5th 5/ 8 Linear equations: LU decomposition, solving linear equations, pivoting LU decomposition 6th 5/15 Linear equations: pivot selecting LU decomposition, Cholesky decomposition 7th 5/22 (1st quiz; One A4 paper is available) 8th 6/ 5 Projection: least square meth, projection matrix, Gram-Schmidt orthogonalization, QR decomposition 9th 6/12 Interpolation: piecewise linear interpolation, spline interpolation 10th 6/19 FEM: shape functions, stiffness matrix, static deformation of beam 11th 6/26 FEM: inertia matrix, dynamic deformation of beam 12th 7/ 3 (2nd quiz; One A4 paper is available) 13th 7/10 Probabilistic algorithm: random numbers, Monte Carlo method 14th 7/17 Fourier transform: discrete Fourier transform (DFT), fast Fourier transform (FFT) 15th 7/20 Fourier transform: matched filter, phase-only correlation method

Handouts

 Evaluation: Final Exam. 60% and Quiz 40%

 Textbook: Numerical Methods for Mechanical Systems (3rd print) ISBN 978-4-339-06094-2 errata References: Linear Algebra and Its Applications Gilbert Strang    Thomson Learning     ISBN 0-15-551005-3 Signal Processing (Robotics Textbook Series 4) ISBN 978-4-339-04515-4

Sample programs (MATLAB)

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