Lecture 15: Numerical methods in estimation: recursive least squares and covariance matrix
Lecture 4: Applications to linear estimation: least squares
Lecture 12: Recap: 'Difference Of Convex' Programming
Lecture 20: Continuous-Time Reachability
Lecture 15: Recap: Example: Minimum Cardinality Problem
Lecture 17: Gain Of A Matrix In A Direction
Numerical Computation for Mechanical Engineers
Numerical Computation for Mechanical Engineers
Lecture 10: Delta function and Green's function
Lecture 7: Least-Squares Polynomial Fitting