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Gradient descent updates
x
in the negative-gradient direction. For
F
(
x
)
=
x
T
A
x
/2
−
b
T
x
, this direction is the residual
r
=
b
−
A
x
.
Table of contents
216
9
Lipschitz gradient
Gradient descent
12
Exact line search for a positive-definite quadratic
Gradient descent
25
Conjugate gradient method
Gradient descent
75
2
Krylov subspace
Conjugate gradient method
13
Finite termination of the conjugate gradient method
Conjugate gradient method
32
Heavy-ball method
Gradient descent
86
3
Heavy-ball residual recurrence
Heavy-ball method
26
Heavy-ball error propagation matrix
Heavy-ball method
50
1
Heavy-ball rate for a two-eigenvalue diagonal quadratic
Heavy-ball error propagation matrix
21
Ancestors
(5)
Numerical analysis
Analysis
Area of mathematics
Mathematics
Home
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(3)
Solution
Solution
Solution
Synonyms
(1)
Steepest descent method