Stephen Boyd

Samsung Professor in the School of Engineering

Stanford University

2 courses · 42 total lectures · 52h recorded

Engineering, Control & Robotics Mathematics

Courses by Stephen Boyd

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Complete university lecture series taught by Stephen Boyd.

Stanford EE263: Introduction to Linear Dynamical Systems

Stanford University · EE26320 lectures · 24h

Engineering·graduate

Introduction to Linear Dynamical Systems

Prof. Stephen Boyd·Stanford University

Stephen Boyd develops applied linear algebra and matrix exponential dynamics: least-squares estimation, singular value geometry, autonomous state trajectories, controllability, and LQR design.

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Stanford EE364a: Convex Optimization I

Stanford University · EE364a22 lectures · 27h

Engineering·graduate

Convex Optimization I

Prof. Stephen Boyd·Stanford University

Stephen Boyd's classic Stanford graduate sequence on convex sets, convex functions, duality, KKT conditions, interior-point methods, and engineering/ML modeling.

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Study paths featuring Stephen Boyd

2

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Linear Dynamics, Optimal Control & Underactuated Robotics

6 steps · 6h3 universities

EditorialEngineering·graduate

Linear Dynamics, Optimal Control & Underactuated Robotics

Matrix exponentials, stability eigenvalues, feedback regulators, and nonlinear locomotion

Stanford University · University of Washington · MIT

6 curated lecturesOpen path →

Mathematical Foundations of Machine Learning

7 steps · 8h4 universities

EditorialAI & ML·graduate

Mathematical Foundations of Machine Learning

Linear geometry, convex duality, statistical learning, and deep optimization

MIT · Stanford University · Caltech +1

7 curated lecturesOpen path →

All lectures by Stephen Boyd

42

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Showing 20 of 42 lectures

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Chapters · Duration

Mathematical Optimization & Why Convexity Is the Watershed

Mathematical Optimization & Why Convexity Is the Watershed

EE364a · Lec 1 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:20:32

Stanford EE364a Lecture 5: The Lagrangian, Dual Function & Slater's Condition

Stanford EE364a Lecture 5: The Lagrangian, Dual Function & Slater's Condition

EE364a · Lec 5 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:10

Stanford EE364a Lecture 2: Affine Sets, Convex Sets, Cones & Hyperplanes

Stanford EE364a Lecture 2: Affine Sets, Convex Sets, Cones & Hyperplanes

EE364a · Lec 2 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:51

Stanford EE364a Lecture 3: Convex Functions — First/Second-Order Conditions & Epigraphs

Stanford EE364a Lecture 3: Convex Functions — First/Second-Order Conditions & Epigraphs

EE364a · Lec 3 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:17:14

Stanford EE364a Lecture 4: Convex Optimization Problems — LP, QP, SOCP & SDP

Stanford EE364a Lecture 4: Convex Optimization Problems — LP, QP, SOCP & SDP

EE364a · Lec 4 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:13:38

Stanford EE364a Lecture 6: Saddle-Point Interpretation, KKT Conditions & Perturbation

Stanford EE364a Lecture 6: Saddle-Point Interpretation, KKT Conditions & Perturbation

EE364a · Lec 6 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:09:19

Lecture 13: Geometric Problems Continued (EE364a)

Lecture 13: Geometric Problems Continued (EE364a)

EE364a · Lec 13 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:15:17

Lecture 11: Statistical Estimation (EE364a)

Lecture 11: Statistical Estimation (EE364a)

EE364a · Lec 11 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:17:03

Lecture 8 | Convex Optimization I (Stanford)

Lecture 8 | Convex Optimization I (Stanford)

EE364a · Lec 8 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:30

Lecture 7 | Convex Optimization I

Lecture 7 | Convex Optimization I

EE364a · Lec 7 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:14:37

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 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

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 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 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 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 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 9: Duality Theory (EE364a)

Lecture 9: Duality Theory (EE364a)

EE364a · Lec 9 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:36

Lecture 1: Subgradients (EE364B)

Lecture 1: Subgradients (EE364B)

EE364a · Lec 20 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:01:37

Lecture 15: Unconstrained Minimization (EE364a)

Lecture 15: Unconstrained Minimization (EE364a)

EE364a · Lec 15 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:45