Mathematics

Linear algebra, real and complex analysis, topology, differential geometry, probability, combinatorics, and number theory.

11 courses · 160 standalone talks · 518 total lectures

All Mathematics Calculus & Analysis (204)Linear Algebra (105)Probability & Information Theory (105)Control & Dynamical Systems (68)Topology & Geometry (50)Signal Processing & Robotics (48)Number Theory & Abstract Algebra (39)Algorithms & Data Structures (32)multivariable calculus (28)Real Analysis (27)

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Chapters · Duration

The Fourier Transforms and its Applications (EE 261): Lecture 2

The Fourier Transforms and its Applications (EE 261): Lecture 2

Mathematics·Standalone Lecture · Brad Osgood · Stanford University

Brad Osgood Stanford University

52:57

Lecture 1 | Introduction to Linear Dynamical Systems

Lecture 1 | Introduction to Linear Dynamical Systems

EE263 · Lec 1 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:46

Lecture 1: The Column Space of A Contains All Vectors Ax

Lecture 1: The Column Space of A Contains All Vectors Ax

18.065 · Lec 1 · Gilbert Strang · MIT

Gilbert Strang MIT

52:14

Lecture 17: Rapidly Decreasing Singular Values (18.065)

Lecture 17: Rapidly Decreasing Singular Values (18.065)

18.065 · Lec 17 · Alex Townsend · MIT

Alex Townsend MIT

50:34

What is the Fourier Transform? A Visual Introduction

What is the Fourier Transform? A Visual Introduction

Mathematics·Standalone Lecture · Grant Sanderson · 3Blue1Brown

Grant Sanderson 3Blue1Brown

19:41

First-order Autonomous ODEs: Qualitative Methods and Applications (MIT 18.03 Differential Equations, Lecture 5)

First-order Autonomous ODEs: Qualitative Methods and Applications (MIT 18.03 Differential Equations, Lecture 5)

18.03 · Lec 5 · Arthur Mattuck · MIT

Arthur Mattuck MIT

45:46

Lecture 7 | Introduction to Linear Dynamical Systems

Lecture 7 | Introduction to Linear Dynamical Systems

EE263 · Lec 7 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:15:46

Lecture 6 | Introduction to Linear Dynamical Systems

Lecture 6 | Introduction to Linear Dynamical Systems

EE263 · Lec 6 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:19

Lecture 5 | Introduction to Linear Dynamical Systems

Lecture 5 | Introduction to Linear Dynamical Systems

EE263 · Lec 5 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:15:14

Lecture 4 | Introduction to Linear Dynamical Systems

Lecture 4 | Introduction to Linear Dynamical Systems

EE263 · Lec 4 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:14:08

Lecture 3 | Introduction to Linear Dynamical Systems

Lecture 3 | Introduction to Linear Dynamical Systems

EE263 · Lec 3 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:19:10

Lecture 2 | Introduction to Linear Dynamical Systems

Lecture 2 | Introduction to Linear Dynamical Systems

EE263 · Lec 2 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:05:52

7. Eckart-Young: The Closest Rank k Matrix to A

7. Eckart-Young: The Closest Rank k Matrix to A

18.065 · Lec 7 · Gilbert Strang · MIT

Gilbert Strang MIT

47:16

Lecture 8: Norms of Vectors and Matrices (18.065)

Lecture 8: Norms of Vectors and Matrices (18.065)

18.065 · Lec 8 · Gilbert Strang · MIT

Gilbert Strang MIT

49:21

Lecture 18: Counting Parameters in SVD, LU, QR, Saddle Points (18.065)

Lecture 18: Counting Parameters in SVD, LU, QR, Saddle Points (18.065)

18.065 · Lec 18 · Gilbert Strang · MIT

Gilbert Strang MIT

49:00

Lecture 12: Computing Eigenvalues and Singular Values (18.065)

Lecture 12: Computing Eigenvalues and Singular Values (18.065)

18.065 · Lec 12 · Gilbert Strang · MIT

Gilbert Strang MIT

49:28

Lecture 9: Four Ways to Solve Least Squares Problems (18.065)

Lecture 9: Four Ways to Solve Least Squares Problems (18.065)

18.065 · Lec 9 · Gilbert Strang · MIT

Gilbert Strang MIT

49:51

Lecture 19: Stochastic dynamics (6.832)

Lecture 19: Stochastic dynamics (6.832)

6.832 · Lec 19 · Russ Tedrake · MIT

Russ Tedrake MIT

1:18:38

Lecture 18: Sampling-based (kinodynamic) motion planning (6.832)

Lecture 18: Sampling-based (kinodynamic) motion planning (6.832)

6.832 · Lec 18 · Russ Tedrake · MIT

Russ Tedrake MIT

1:20:47

Lecture 20: Observability and State Estimation (EE263)

Lecture 20: Observability and State Estimation (EE263)

EE263 · Lec 20 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:09:25

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