Lecture: Unconstrained Optimization (Derivative Methods) Published 2016-02-19 Download video MP4 360p Recommendations 45:35 Lecture: Unconstrained Optimization (Derivative-Free Methods) 43:51 Lecture: Eigenvalues and Eigenvectors 48:39 Lecture: Theory of the Fourier Transform 45:21 Lecture: Higher-order Accuracy Schemes for Differentiation and Integration 51:13 Lecture: Principal Componenet Analysis (PCA) 11:28 Hardest Exam Question | Only 8% of students got this math question correct 1:23:14 Lecture 5: Operators and the Schrödinger Equation 48:03 Lecture: Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT) 45:16 Lecture: General Time-stepping and Runge-Kutta Schemes 47:10 Lecture: Numerical Differentiation Methods 10:37 The Bayesian Trap 15:04 The Gradient Operator in Vector Calculus: Directions of Fastest Change & the Directional Derivative 44:00 Lecture: Polynomial Fits and Splines 44:36 Lecture: The Singular Value Decomposition (SVD) 38:32 Why is calculus so ... EASY ? Similar videos 07:20 Unconstrained Optimization - Examples I 24:38 Lecture 40 : Unconstrained Optimization 06:29 Constrained optimization introduction 1:04:56 Optimization Problems - Calculus 28:00 Lecture 41 : Multivariate Unconstrained Optimization-1 30:18 Lecture 43 : Unconstrained Optimization 54:43 Converting Constrained Optimization to Unconstrained Optimization Using the Penalty Method 11:26 Visually Explained: Newton's Method in Optimization 10:49 Constrained Optimization: Intuition behind the Lagrangian 12:35 Optimization – 1 Unconstrained Optimization More results