Golden Section Search Method Theory and Example

Multi Dimensional Gradient Methods in Optimization

Multi Dimensional Direct Search Methods Theory and Example

Newton Method for 1D Optimization Theory and Example

03.06 False-Position Method for Solving a Non-Linear Eq

07.08 Simpsons 3/8 Rule for Integration

Lecture 11: FFT: Informal Development of FFT

Lecture 12: FFT: Factorized Matrix & Operation Count

Lecture 13: FFT: Companion Node Observation

Lecture 14: FFT: Determination of W^P Example 1

Lecture 15: FFT: Unscrambling the FFT

Lecture 16: FFT: Theoretical Development of FFT; N=2^2=4

Lecture 17: Theoretical Development of FFT: N=2^3=8

Lecture 18: Theoretical Development of FFT: N=2^r

Lecture 19: Theoretical Development of FFT: N=r1*r2=4x4

Lecture 20: Theoretical Development of FFT: N=r1*r2=4x2

Lecture 21: Theoretical Development of FFT: N=r1*r2*r3 ....

Lecture 22: Theoretical Development of FFT: Twiddle Factor

Lecture 23: Simultaneous Linear Equations: Cholesky Method

Lecture 24: S L E: LDL transpose method

Lecture 25: Simultaneous Linear Equations: Cholesky Game

Lecture 10: DFT: Aliasing Phenomenon, Nyquist Sample/Rate

Lecture 9: Discrete Fourier Transform contd.

Lecture 8: Discrete Fourier Transform

Lecture 7: Fourier Transform Pair: Non-periodic Function

Lecture 6: Fourier Transform Pair: Complex Numbers

Lecture 4: Complex Form of Fourier Series

Lecture 1: Introduction to Fourier Series

Lecture 2: Continuous Fourier Series

Lecture 5: Fourier Transform Pair, Frequency and Time Domain