stepsize: Sequence of step sizes for optimization.
In tathagatabasu/nonsmoothOptim: Optimisation with piece-wise differentiable functions.
Description
Usage
Arguments
Value
Description
Function to generate stepsize for sub-gradient optimization and proximal-gradient optimization
Usage
1
stepsize(h = 0.01, m = 1000, n = 1000)
Arguments
h
Starting value. Default is 0.01
m
Number of constant steps. Default is 1000
n
Number of diminishing steps. Default is 1000
Value
The sequence of stepsize
tathagatabasu/nonsmoothOptim documentation built on Nov. 5, 2019, 10 a.m.
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Description Usage Arguments Value
Description
Function to generate stepsize for sub-gradient optimization and proximal-gradient optimization
Usage
1 | stepsize(h = 0.01, m = 1000, n = 1000)
|
Arguments
h |
Starting value. Default is 0.01 |
m |
Number of constant steps. Default is 1000 |
n |
Number of diminishing steps. Default is 1000 |
Value
The sequence of stepsize
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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