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Home » Basic and Health Sciences » Mathematics » Computational Science and Engineering I (Fall 2008) (M-I-T) » Lecture 32: Convolution (part 2), Filtering (M-I-T)

Lecture 32: Convolution (part 2), Filtering (M-I-T)

Course:Computational Science and Engineering I (Fall 2008) (M-I-T)
Discipline:Basic and Health Sciences
Institute:MIT
Instructor(s): Prof. Gilbert Strang
Level:Graduate

Computational Science and Engineering I (Fall 2008) (M-I-T)

Lecture 10: Finite Differences in Time (M-I-T)
Course Introduction (M-I-T)
Lecture 11: Least Squares (part 2) (M-I-T)
Lecture 12: Graphs and Networks (M-I-T)
Lecture 13: Kirchhoff's Current Law (M-I-T)
Lecture 14: Exam Review (M-I-T)
Lecture 15: Trusses and A^(T)CA (M-I-T)
Lecture 16: Trusses (part 2) (M-I-T)
Lecture 17: Finite Elements in 1D (part 1) (M-I-T)
Lecture 18: Finite Elements in 1D (part 2) (M-I-T)
Lecture 19: Quadratic/Cubic Elements (M-I-T)
Lecture 1: Four Special Matrices (M-I-T)
Lecture 32: Convolution (part 2), Filtering (M-I-T)
Lecture 33: Filters, Fourier Integral Transform (M-I-T)
Lecture 20: Element Matrices; 4th Order Bending Equations (M-I-T)
Lecture 21: Boundary Conditions, Splines, Gradient, Divergence (M-I-T)
Lecture 34: Fourier Integral Transform (part 2) (M-I-T)
Lecture 22: Gradient and Divergence (M-I-T)
Lecture 35: Convolution Equations: Deconvolution (M-I-T)
Lecture 23: Laplace's Equation (M-I-T)

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