generate_generalized_mxhilb_function: Generalized MXHILB test function generator.
In olafmersmann/soobench: Single Objective Optimization Benchmark Functions
Description
Usage
Arguments
Details
Value
References
View source: R/f_generalized_MXHILB.R
Description
The generalized MXHILB test function is defined as
Usage
1
generate_generalized_mxhilb_function(dimensions)
Arguments
dimensions
[integer(1)] Size of parameter space.
Details
f(x) = \max_{1 ≤q i \neq n} ≤ft| ∑_{j=1}^{n} \frac{x_j}{i+j-1}\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.
olafmersmann/soobench documentation built on May 24, 2019, 12:51 p.m.
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.
Description Usage Arguments Details Value References
View source: R/f_generalized_MXHILB.R
Description
The generalized MXHILB test function is defined as
Usage
1 | generate_generalized_mxhilb_function(dimensions)
|
Arguments
dimensions |
[ |
Details
f(x) = \max_{1 ≤q i \neq n} ≤ft| ∑_{j=1}^{n} \frac{x_j}{i+j-1}\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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.