Course Content
المحتوى
0/56
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 1: Overview
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 1: Overview
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 2: Vector Notation
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 3: Vector Examples
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 4: Addition and Scalar Multiplication
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 5: Inner Product
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 6: Complexity in VMLS
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 7: Linear Functions
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 8: Taylor Approximation and Regularization
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 9: Norms
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 10: Distance in VMLS
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 11: Standard Deviation
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 12: Angles in VMLS
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 13: K-Means Clustering
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 14: K-Means Application
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 15: Linear Independence
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 16: Gram-Schmidt Algorithm
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 17: Matrix Notation
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 18: Matrix-Vector Multiplication
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 19: Matrix-Vector Examples
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 20: Selector Matrices
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 21: Incidence Matrix
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 22: Convolution
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 23: Vector Linear Functions
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 24: Linear Function Models
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 25: Linear Equations
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 26: Linear Dynamic Systems
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 27: Matrix Multiplication
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 28: Matrix Multiplication Examples
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 29: Matrix Powers and QR Factorization
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 30: Left and Right Inverses
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 31: Solving Linear Equations
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 32: Pseudo Inverse
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 33: Least Squares
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 34: Least Squares Examples
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 35: Least Squares Data Fitting
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 36: Fitting Univariate Functions
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 37: Validation
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 38: Classification
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 39: Least Squares Classification
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 40: Multiclass Classification
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 41: Multi-Objective Least Squares
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 42: Control via Multi-Objective Least Squares
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 43: MLS Estimation and Inversion
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 44: Regularized Data Fitting
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 45: Constrained Least Squares
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 46: Solving Constrained Least Squares Problems
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 47: Portfolio Optimization
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 48: Linear Quadratic Control
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 49: Linear Quadratic State Estimation
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 50: Nonlinear Equation Least Squares
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 51: Levenberg-Marquardt Algorithm
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 52: Nonlinear Model Fitting
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 53: Constrained Nonlinear Least Squares
10:26
Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 54: Augmented Lagrangian Method
10:26
Final Exam - Applied Linear Algebra: Understanding Vectors and Matrices
Applied Linear Algebra: Understanding Vectors and Matrices

Learn about modeling linear functions and their applications in various fields.

Previous
Next
0% Complete