generate_chained_crescent_I_function: Chained Crescent I function generator.
In soobench: Single Objective Optimization Benchmark Functions
Description
Usage
Arguments
Details
Value
References
View source: R/f_chained_crescent_I.R
Description
The chained Crescent I function is defined as
Usage
1
generate_chained_crescent_I_function(dimensions)
Arguments
dimensions
[integer(1)] Size of parameter space.
Details
f(x) = \max≤ft\{∑_{i=1}^{n-1} ≤ft(x_i^2 +(x_{i+1}^2 -1)^2 + x_{i+1} - 1\right), ∑_{i=1}^{n-1} ≤ft(-x_i^2 - (x_{i+1}^2 -1)^2 + x_{i+1} 1 1\right)\right\}
Value
A soo_function.
References
Haarala, M. and Miettinen, K. and Maekelae, M. M., New limited
memory bundle method for large-scale nonsmooth optimization.
soobench documentation built on Feb. 9, 2020, 5:08 p.m.
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Description Usage Arguments Details Value References
View source: R/f_chained_crescent_I.R
Description
The chained Crescent I function is defined as
Usage
1 | generate_chained_crescent_I_function(dimensions)
|
Arguments
dimensions |
[ |
Details
f(x) = \max≤ft\{∑_{i=1}^{n-1} ≤ft(x_i^2 +(x_{i+1}^2 -1)^2 + x_{i+1} - 1\right), ∑_{i=1}^{n-1} ≤ft(-x_i^2 - (x_{i+1}^2 -1)^2 + x_{i+1} 1 1\right)\right\}
Value
A soo_function.
References
Haarala, M. and Miettinen, K. and Maekelae, M. M., New limited memory bundle method for large-scale nonsmooth optimization.
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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