rosenbrock4: 4D test function
In DiceOptim: Kriging-Based Optimization for Computer Experiments
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Rosenbrock 4-dimensional test function.
Usage
1
rosenbrock4(x)
Arguments
x
a 4-dimensional vector specifying the location where the function
is to be evaluated.
Details
The rosenbrock4 (standardized version) function is defined over the domain
[0,1]^4. It has 1 global minimizer : x* = c(0.4,0.4,0.4,0.4), with
minimum f(x*) = -1.019701, and an additional local minimizer, x*,2 =
c(0.26667,0.4,0.4,0.4), with minimum f(x*,2) = -1.019691.
Value
A real number equal to the rosenbrock4 function values at x
Author(s)
Tobias Wagner
Victor Picheny
David Ginsbourger
Examples
1
2
3
design <- matrix(runif(400), 100, 4)
response <- apply(design, 1, rosenbrock4)
DiceOptim documentation built on Feb. 2, 2021, 1:06 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Rosenbrock 4-dimensional test function.
Usage
1 | rosenbrock4(x)
|
Arguments
x |
a 4-dimensional vector specifying the location where the function is to be evaluated. |
Details
The rosenbrock4 (standardized version) function is defined over the domain
[0,1]^4. It has 1 global minimizer : x* = c(0.4,0.4,0.4,0.4), with
minimum f(x*) = -1.019701, and an additional local minimizer, x*,2 =
c(0.26667,0.4,0.4,0.4), with minimum f(x*,2) = -1.019691.
Value
A real number equal to the rosenbrock4 function values at x
Author(s)
Tobias Wagner
Victor Picheny
David Ginsbourger
Examples
1 2 3 |
design <- matrix(runif(400), 100, 4)
response <- apply(design, 1, rosenbrock4)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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