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MIT 18.085 Computational Science and  Engineering I - Fall 2007

MIT 18.085 Computational Science and Engineering I - Fall 2007

32 Videos · Jan 18, 2001

About

This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.

Note: This course was previously called "Mathematical Methods for Engineers I".

Course Homepage 18.085 Computational Science and Engineering I Fall 2007

Course features at MIT OpenCourseWare page: *Syllabus *Assignments *Exams *Study Materials *Related Resources *Download Course Materials

Videos

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01:14:04

Lecture 29: Applications in signal and image processing: compression

Gilbert Strang

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01:15:49

Lecture 27: Multiresolution, wavelet transform and scaling function

Gilbert Strang

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01:05:16

Lecture 17: Finite difference methods: equilibrium problems

Gilbert Strang

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01:16:29

Lecture 30: Network flows and combinatorics: max flow = min cut

Gilbert Strang

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55:21

Lecture 26: Filter banks and perfect reconstruction

Gilbert Strang

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01:21:59

Lecture 25: Filters in the time and frequency domain

Gilbert Strang

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01:05:56

Lecture 8: Applications to boundary value problems: Laplace equation

Gilbert Strang

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01:05:27

Lecture 6: Underlying theory: applied linear algebra

Gilbert Strang

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56:48

Lecture 2: One-dimensional applications: A = difference matrix

Gilbert Strang

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50:13

Lecture 32: Nonlinear optimization: algorithms and theory

Gilbert Strang

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01:05:07

Lecture 31: Simplex method in linear programming

Gilbert Strang

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01:09:57

Lecture 9: Solutions of Laplace equation: complex variables

Gilbert Strang

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01:08:17

Lecture 19: Optimization and minimum principles: Euler equation

Gilbert Strang

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59:51

Lecture 1: Positive definite matrices K = A'CA

Gilbert Strang

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01:00:24

Lecture 24: Discrete filters: lowpass and highpass

Gilbert Strang

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01:15:38

Lecture 23: Fast fourier transform and circulant matrices

Gilbert Strang

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01:09:48

Lecture 21: Spectral method: dynamic equations

Gilbert Strang

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01:07:34

Lecture 7: Discrete vs. continuous: differences and derivatives

Gilbert Strang

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01:11:02

Lecture 13: Numerical linear algebra: orthogonalization and A = QR

Gilbert Strang

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01:01:47

Lecture 20: Finite element method: equilibrium equations

Gilbert Strang

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01:00:55

Lecture 10: Delta function and Green's function

Gilbert Strang

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01:06:32

Lecture 15: Numerical methods in estimation: recursive least squares and covaria...

Gilbert Strang

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01:06:12

Lecture 12: Solutions of initial value problems: eigenfunctions

Gilbert Strang

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01:07:28

Lecture 18: Finite difference methods: stability and convergence

Gilbert Strang

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01:04:34

Lecture 28: Splines and orthogonal wavelets: Daubechies construction

Gilbert Strang

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01:07:01

Lecture 5: Applications to dynamics: eigenvalues of K, solution of Mu'' + Ku = F...

Gilbert Strang

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01:02:33

Lecture 22: Fourier expansions and convolution

Gilbert Strang

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01:07:48

Lecture 4: Applications to linear estimation: least squares

Gilbert Strang

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57:15

Lecture 3: Network applications: A = incidence matrix

Gilbert Strang

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01:00:58

Lecture 14: Numerical linear algebra: SVD and applications

Gilbert Strang

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01:02:22

Lecture 16: Dynamic estimation: Kalman filter and square root filter

Gilbert Strang

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01:06:07

Lecture 11: Initial value problems: wave equation and heat equation

Gilbert Strang

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