Learn · Computational Science and Engineering I
Lecture 21 of 50Video Lectures55 min
Recitation 6
Prof. Gilbert Strang · Massachusetts Institute of Technology
Credits and licence
- From
- Computational Science and Engineering I, Massachusetts Institute of Technology (at MIT OpenCourseWare)
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
- Attribution
- Prof. Gilbert Strang. Computational Science and Engineering I. Fall 2008. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Course Introduction
- Lecture 1: Four Special Matrices
- Recitation 1: Key Ideas of Linear Algebra
- Lecture 2: Differential Eqns and Difference Eqns
- Lecture 3: Solving a Linear System
- Lecture 4: Delta Function Day
- Recitation 2
- Lecture 5: Eigenvalues (Part 1)
- Lecture 6: Eigen Values (part 2) and Positive Definite (part 1)
- Lecture 7: Positive Definite Day
- Lecture 8: Springs and Masses
- Recitation 3
- Lecture 9: Oscillation
- Recitation 4
- Lecture 10: Finite Differences in Time
- Lecture 11: Least Squares (part 2)
- Lecture 12: Graphs and Networks
- Recitation 5
- Lecture 14: Exam Review
- Lecture 13: Kirchhoff's Current Law
- Recitation 6
- Lecture 15: Trusses and A^(T)CA
- Lecture 16: Trusses (part 2)
- Lecture 17: Finite Elements in 1D (part 1)
- Recitation 7
- Lecture 18: Finite Elements in 1D (part 2)
- Lecture 19: Quadratic/Cubic Elements
- Lecture 20: Element Matrices; 4th Order Bending Equations
- Recitation 8
- Lecture 21: Boundary Conditions, Splines, Gradient, Divergence
- Recitation 9
- Lecture 22: Gradient and Divergence
- Lecture 23: Laplace's Equation
- Lecture 25: Fast Poisson Solver (part 1)
- Lecture 24: Laplace's Equation (part 2)
- Lecture 27: Finite Elements in 2D (part 2)
- Lecture 26: Fast Poisson Solver (part 2); Finite Elements in 2D
- Recitation 10
- Lecture 28: Fourier Series (part 1)
- Lecture 29: Fourier Series (part 2)
- Recitation 11
- Lecture 30: Discrete Fourier Series
- Lecture 31: Fast Fourier Transform, Convolution
- Recitation 12
- Lecture 32: Convolution (part 2), Filtering
- Lecture 33: Filters, Fourier Integral Transform
- Lecture 34: Fourier Integral Transform (part 2)
- Recitation 13
- Lecture 35: Convolution Equations: Deconvolution
- Lecture 36: Sampling Theorem