stepit: Compute a new step size for a linear search within an...
In fda: Functional Data Analysis
stepit R Documentation
Compute a new step size for a linear search within an optimization algorithm.
Description
Using cubic interpolation, a new step size is computed for minimizing a
function value.
Usage
stepit(linemat, ips, dblwrd, MAXSTEP)
Arguments
linemat
A 3 by 5 matrix containing step sizes, function values and slopes at
multiple values.
ips
If 1, previous slope was positive.
dblwrd
Vector of length 2: dblwrd[1] TRUE means step halved
dblwrd[2] TRUE means step doubled.
MAXSTEP
maximum allowed size of a step.
Value
A positive step size.
fda documentation built on May 31, 2023, 9:19 p.m.
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| stepit | R Documentation |
Compute a new step size for a linear search within an optimization algorithm.
Description
Using cubic interpolation, a new step size is computed for minimizing a function value.
Usage
stepit(linemat, ips, dblwrd, MAXSTEP)
Arguments
linemat |
A 3 by 5 matrix containing step sizes, function values and slopes at multiple values. |
ips |
If 1, previous slope was positive. |
dblwrd |
Vector of length 2: dblwrd[1] TRUE means step halved dblwrd[2] TRUE means step doubled. |
MAXSTEP |
maximum allowed size of a step. |
Value
A positive step size.
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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