Lectures in Matrices & Matrix Applications
Lecture 0: What Will Be Covered
Lecture 1: What Is A Matrix? 1
Lecture 2: What Is A Matrix? 2
Lecture 3: Row Echelon Form
Lecture 4: Reduced Row Echelon Form
Lecture 5: Method Of Gaussian Elimination: Example
Lecture 6: Method Of Gaussian Elimination: 2X2 Matrix
Lecture 7: Method Of Gaussian Elimination: 3X3 Matrix
Lecture 8: Gaussian Elimination: 3X3 Matrix, No Solution
Lecture 9: Gaussian Elimination: 3X3, Infinite Solutions
Lecture 10: Gaussian Elimination: Example Of Solving 3X3
Lecture 11: What Are Equal Matrices?
Lecture 12: How To Add Matrices
Lecture 13: How To Subtract Matrices
Lecture 14: How To Multiply Matrices By A Number
Lecture 15: How To Solve Mixed Operations On Matrices
Lecture 16: How To Multiply (Square) Matrices
Lecture 17: How To Multiply (Different Size) Matrices
Lecture 18: Matrices That Cannot Be Multiplied Together
Lecture 19: What Is An Identity Matrix?
Lecture 20: What Is The Inverse Of A Matrix?
Lecture 21: Using The Determinant To Find The Inverse
Lecture 22: Using Gaussian Elimin. To Find The Inverse
Lecture 23: Finding The Inverse Of A 3X3 Matrix
Lecture 24: Dividing One Matrix By Another Matrix
Lecture 25: Solving Sys Of Linear Eqn With Inverse
Lecture 26: Solving Sys Of Linear Eqn With Inverse
Lecture 27: Solving Sys Of Linear Eqn With Inverse
Lecture 28: Solving Sys Of Linear Eqn With Inverse
Lecture 29: Find The Determinant Of A 2X2 Matrix
Lecture 30: Find The Determinant Of A 3X3 Matrix 1
Lecture 31: Find The Determinant Of A 3X3 Matrix 2
Lecture 32: Using Cramer'S Rule To Find X=? Y=
Lecture 33: Using Cramer'S Rule To Find X=? Y=? Z=?