投稿

英字【数值分析】斯坦福大学 CS 205A: Mathematical Methods for Robotics, Vision, and Graphics

1.2万

10

2019-12-23 17:00:38

http://graphics.stanford.edu/courses/cs205a/

计算机科学

Evan林发消息

你就造这些玩意给谁猜啊！？你建我猜！

萝卜吃米洛

Lecture 1 - Introduction; numerics; error analysis (part I)

33:51

Lecture 1 - Introduction; numerics; error analysis (part II)

26:32

Lecture 2 - Linear systems and LU (Part I)

33:57

Lecture 2 - Linear systems and LU (Part II)

27:26

Lecture 3 - More LU; conditioning and sensitivity (part I)

33:52

Lecture 3 - More LU; conditioning and sensitivity (part II)

33:52

Lecture 3 - More LU; conditioning and sensitivity (part III)

04:49

Lecture 4 - Designing linear systems; special structure (part I)

33:51

Lecture 4 - Designing linear systems; special structure (part II)

33:52

Lecture 4 - Designing linear systems; special structure (part III)

10:02

Lecture 5 - Column spaces and QR (part I)

33:53

Lecture 5 - Column spaces and QR (part II)

33:53

Lecture 5 - Column spaces and QR (part III)

07:06

Lecture 6 - Eigenproblems - How they arise, properties (part I)

33:53

Lecture 6 - Eigenproblems - How they arise, properties (part II)

33:53

Lecture 6 - Eigenproblems - How they arise, properties (part III)

05:28

Lecture 7 - Eigenproblems II - Algorithms (part I)

32:30

Lecture 7 - Eigenproblems II - Algorithms (part II)

33:54

Lecture 7 - Eigenproblems II - Algorithms (part III)

04:11

Lecture 8 - Eigenproblems III (QR iteration, conditioning); singular value deco

33:52

Lecture 8 - Eigenproblems III (QR iteration, conditioning); singular value deco

33:52

Lecture 8 - Eigenproblems III (QR iteration, conditioning); singular value deco

11:00

Lecture 9 - Nonlinear equations and convergence analysis (part I)

33:52

Lecture 9 - Nonlinear equations and convergence analysis (part II)

33:52

Lecture 9 - Nonlinear equations and convergence analysis (part III)

11:23

Lecture 10 - Systems of equations; optimization in one variable (part I)

33:53

Lecture 10 - Systems of equations; optimization in one variable (part II)

33:53

Lecture 10 - Systems of equations; optimization in one variable (part III)

08:25

Lecture 12 - Optimization - Multiple variables, constraints (part I)

33:53

Lecture 12 - Optimization - Multiple variables, constraints (part II)

33:54

Lecture 12 - Optimization - Multiple variables, constraints (part III)

06:05

Lecture 13 - Conjugate gradients I - Gradient descent, setup (part I)

33:51

Lecture 13 - Conjugate gradients I - Gradient descent, setup (part II)

33:52

Lecture 13 - Conjugate gradients I - Gradient descent, setup (part III)

09:49

Lecture 14 - Conjugate gradients II - Formulation, preconditioning, and variant

33:51

Lecture 14 - Conjugate gradients II - Formulation, preconditioning, and variant

33:52

Lecture 14 - Conjugate gradients II - Formulation, preconditioning, and variant

11:25

Lecture 15 - Interpolation (part I)

33:51

Lecture 15 - Interpolation (part II)

33:52

Lecture 15 - Interpolation (part III)

09:15

Lecture 16 - Numerical integration and differentiation (part II)

33:52

Lecture 16 - Numerical integration and differentiation (part III)

10:29

Lecture 16 - Numerical integration and differentiation (part I)

33:51

Lecture 17 - Initial value problems and basics of ODE (part I)

33:51

Lecture 17 - Initial value problems and basics of ODE (part II)

33:51

Lecture 17 - Initial value problems and basics of ODE (part III)

08:41

Lecture 18 - Time-stepping strategies (part I)

33:51

Lecture 18 - Time-stepping strategies (part II)

33:51

Lecture 18 - Time-stepping strategies (part III)

08:27

Lecture 19 - PDE I - Examples_theory, derivative operators (part I)

33:52

Lecture 19 - PDE I - Examples_theory, derivative operators (part II)

33:52

Lecture 19 - PDE I - Examples_theory, derivative operators (part III)

10:18

Lecture 20 - PDE II - Basic solution techniques (part I)

33:50

Lecture 20 - PDE II - Basic solution techniques (part II)

33:50

Lecture 20 - PDE II - Basic solution techniques (part III)

06:57

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