17:47

Vector Calculus - Lecture 21: Conservative Vector Fields and Path Independence

17:04

Vector Calculus - Lecture 20: What is Path Independence of Line Integrals?

17:58

Vector Calculus - Lecture 19: A (More or Less) Proof of Green's Theorem

07:00

Vector Calculus - Lecture 18: How to Think About Green's Theorem

21:37

Vector Calculus - Lecture 17: Making Use of Green's Theorem

20:51

Vector Calculus - Lecture 16: Introduction to Green's Theorem

13:48

Vector Calculus - Lecture 15: Examples and Interpretations of Vector Line Integrals

15:21

Vector Calculus - Lecture 14: Introduction to Vector Line Integrals

13:18

Vector Calculus - Lecture 13: Flow Lines of Vector Fields

12:58

Vector Calculus - Lecture 12: What is a Gradient Field?

11:11

Vector Calculus - Lecture 11: What is a Vector Field?

18:09

Vector Calculus - Lecture 10: Scalar Line Integrals (Examples and Other Interpretations)

14:39

Vector Calculus - Lecture 9: Scalar Line Integrals (Definition and Motivation)

06:02

Vector Calculus - Lecture 8: Visualizing Scalar Fields

19:16

Vector Calculus - Lecture 7: The Curvature of a Curve

23:17

Vector Calculus - Lecture 6: The Angular Speed of a Path

23:48

Vector Calculus - Lecture 5: Parametrization by Arc Length

26:18

Vector Calculus - Lecture 4: The Arc Length of a Path

26:37

Vector Calculus - Lecture 3: The Tangent Line of a Path

12:11

Vector Calculus - Lecture 2: The Velocity and Speed of a Path

23:00

Vector Calculus - Lecture 1: Paths and Curves

26:23

2024 Putnam Math Competition - Question A6 - Determinant involving (1 - 3x - sqrt(1 - 14x + 9x^2))/4

18:13

2024 Putnam Math Competition - Question A2 - Polynomials with p(p(x)) - x = (p(x) - x)^2 * q(x)

18:29

2024 Putnam Math Competition - Question B1 - Numbers i+j-k in squares in a grid

09:28

2024 Putnam Math Competition - Question A1 - Solutions to 2a^n + 3b^n = 4c^n

21:50

Discrete convolution: Evaluating sums of products of central binomial coefficients

12:11

Constrained optimization: how to find the maximal area of a Norman window

13:08

Superpermutations but Easier - Minimal Injective Superstrings

07:48

How to do Polynomial Interpolation with Linear Algebra

19:36

Herschel tracks tutorial for Conway's Game of Life - Part 1 - Making oscillators of any large period

08:44

Applications of Linear Systems: Finding Commuting Matrices

16:17

Applications of Linear Systems: Finding Orthogonal Vectors

21:36

Solving the "Lights Out" Puzzle via Linear Algebra

12:18

First true period 15 and 16 glider guns found in Conway's Game of Life

07:38

What is the Maximum Possible Area of 3 Circles in a Triangle?

11:24

Linear Algebra - Lecture 44: Matrix Functions via Diagonalization

16:18

Linear Algebra - Lecture 43: Arbitrary Matrix Powers via Diagonalization

13:16

Linear Algebra - Lecture 42: The Fibonacci Sequence via Diagonalization

10:09

Linear Algebra - Lecture 41: Matrices with Distinct Eigenvalues are Diagonalizable

27:28

Linear Algebra - Lecture 40: Diagonalization and Large Matrix Powers

23:26

Linear Algebra - Lecture 39: The Characteristic Polynomial and Multiplicity

27:01

Linear Algebra - Lecture 38: Complex Numbers and Complex Eigenvalues

31:18

Linear Algebra - Lecture 37: Introduction to Eigenvalues and Eigenvectors

30:35

Linear Algebra - Lecture 36: Explicit Formulas for the Determinant

26:46

Linear Algebra - Lecture 35: Computing the Determinant (via Gaussian Elimination)

27:48

Linear Algebra - Lecture 34: Introduction to the Determinant (Geometrically)

08:03

Linear Algebra - Lecture 33: The Nullity of a Matrix

11:22

Linear Algebra - Lecture 32: The Rank of a Matrix

16:45

Linear Algebra - Lecture 31: The Dimension of a Subspace

09:48

Linear Algebra - Lecture 30: Bases of Subspaces

20:14

Linear Algebra - Lecture 29: Linear Dependence and Independence

20:16

Linear Algebra - Lecture 28: The Span of a Set of Vectors

13:49

Linear Algebra - Lecture 27: The Range and Null Space of a Matrix

15:51

Linear Algebra - Lecture 26: Subspaces

16:28

Linear Algebra - Lecture 25: One Sided Inverses and a Formula for 2x2 Inverses

12:30

Linear Algebra - Lecture 24: Computing the Inverse of a Matrix

26:59

Linear Algebra - Lecture 23: Introduction to the Inverse of a Matrix

16:58

Linear Algebra - Lecture 22: Elementary Matrices

12:33

Linear Algebra - Lecture 21: Solving Linear Systems (Part 3: Zero and Infinitely Many Solutions)

20:00

Linear Algebra - Lecture 20: Solving Linear Systems (Part 2: Row Echelon Form)