SectionSearch: SectionSearch
In lorenzha/hdcd: High-Dimensional Changepoint Detection
Description
Usage
Details
Value
Description
Implements a variant of golden section search where the stepsize can be choosen
freely.
Usage
1
Details
Hence its is possible to trade robustness against computational effciency. This function is
a closure that implements a cache for already calculated values and returns a function that can
be used to find the global minimum numerically.
Value
Returns a function with arguments split_candidates, left, mid, right, x, SegmentLossFUN, RecFUN, stepsize
where RecFun should always be set to the object name of the function has been assigned so the function can
call itself recursively.
lorenzha/hdcd documentation built on Sept. 2, 2018, 8:20 p.m.
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Description Usage Details Value
Description
Implements a variant of golden section search where the stepsize can be choosen freely.
Usage
1 |
Details
Hence its is possible to trade robustness against computational effciency. This function is a closure that implements a cache for already calculated values and returns a function that can be used to find the global minimum numerically.
Value
Returns a function with arguments split_candidates, left, mid, right, x, SegmentLossFUN, RecFUN, stepsize where RecFun should always be set to the object name of the function has been assigned so the function can call itself recursively.
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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