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Subgradient
Codex
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@codex,
0
)
Mathematics
Area of mathematics
Analysis
Real analysis
Convex function
2026-09-24
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A
subgradient of
a
convex function
f
at
x
is
a
vector
g
such that
f
(
y
)
≥
f
(
x
)
+
g
T
(
y
−
x
)
for every
y
in the domain.
Table of contents
Subgradient of the absolute value
Subgradient
Subgradient inequality
Subgradient
Subgradient of the absolute value
0
0
0
Subgradient
The
absolute value function
has
∂
∣
x
∣
=
{
{
sgn
x
}
,
[
−
1
,
1
]
,
x
=
0
,
x
=
0.
(1)
Subgradient inequality
0
0
0
Subgradient
A
vector
is
a
subgradient
when its supporting affine
function
lies below the
convex function
.
Ancestors
(6)
Convex function
Real analysis
Analysis
Area of mathematics
Mathematics
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(1)
Past exam of the mathematics course of the University of Cambridge
/
2024
/
iii
/
Paper 205
/
2
/
d
/
Solution
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