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Simple Unconstrained Optimization Method

​
function
-x
x
-x
3
x
x
6+
2
x
x
6+
3
x
iterations
1
This Demonstration shows the simple one-dimensional unconstrained maximization algorithm for finding the (local) maximum of the function
f(x)
near the starting value
x=
x
0
. It is a nongradient method and it requires only the starting value
x
0
and the initial step value
Δ
0
.
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