| Portability | uses ffi |
|---|---|
| Stability | provisional |
| Maintainer | Alberto Ruiz (aruiz at um dot es) |
| Safe Haskell | None |
Numeric.GSL.Root
Description
Multidimensional root finding.
http://www.gnu.org/software/gsl/manual/html_node/Multidimensional-Root_002dFinding.html
The example in the GSL manual:
import Numeric.GSL
import Numeric.LinearAlgebra(format)
import Text.Printf(printf)
rosenbrock a b [x,y] = [ a*(1-x), b*(y-x^2) ]
disp = putStrLn . format " " (printf "%.3f")
main = do
let (sol,path) = root Hybrids 1E-7 30 (rosenbrock 1 10) [-10,-5]
print sol
disp path
> main
[1.0,1.0]
0.000 -10.000 -5.000 11.000 -1050.000
1.000 -3.976 24.827 4.976 90.203
2.000 -3.976 24.827 4.976 90.203
3.000 -3.976 24.827 4.976 90.203
4.000 -1.274 -5.680 2.274 -73.018
5.000 -1.274 -5.680 2.274 -73.018
6.000 0.249 0.298 0.751 2.359
7.000 0.249 0.298 0.751 2.359
8.000 1.000 0.878 -0.000 -1.218
9.000 1.000 0.989 -0.000 -0.108
10.000 1.000 1.000 0.000 0.000
- uniRoot :: UniRootMethod -> Double -> Int -> (Double -> Double) -> Double -> Double -> (Double, Matrix Double)
- data UniRootMethod
- uniRootJ :: UniRootMethodJ -> Double -> Int -> (Double -> Double) -> (Double -> Double) -> Double -> (Double, Matrix Double)
- data UniRootMethodJ
- = UNewton
- | Secant
- | Steffenson
- root :: RootMethod -> Double -> Int -> ([Double] -> [Double]) -> [Double] -> ([Double], Matrix Double)
- data RootMethod
- rootJ :: RootMethodJ -> Double -> Int -> ([Double] -> [Double]) -> ([Double] -> [[Double]]) -> [Double] -> ([Double], Matrix Double)
- data RootMethodJ
Documentation
uniRoot :: UniRootMethod -> Double -> Int -> (Double -> Double) -> Double -> Double -> (Double, Matrix Double)Source
data UniRootMethod Source
uniRootJ :: UniRootMethodJ -> Double -> Int -> (Double -> Double) -> (Double -> Double) -> Double -> (Double, Matrix Double)Source
data UniRootMethodJ Source
Constructors
| UNewton | |
| Secant | |
| Steffenson |
Arguments
| :: RootMethod | |
| -> Double | maximum residual |
| -> Int | maximum number of iterations allowed |
| -> ([Double] -> [Double]) | function to minimize |
| -> [Double] | starting point |
| -> ([Double], Matrix Double) | solution vector and optimization path |
Nonlinear multidimensional root finding using algorithms that do not require any derivative information to be supplied by the user. Any derivatives needed are approximated by finite differences.
data RootMethod Source
Instances
Arguments
| :: RootMethodJ | |
| -> Double | maximum residual |
| -> Int | maximum number of iterations allowed |
| -> ([Double] -> [Double]) | function to minimize |
| -> ([Double] -> [[Double]]) | Jacobian |
| -> [Double] | starting point |
| -> ([Double], Matrix Double) | solution vector and optimization path |
Nonlinear multidimensional root finding using both the function and its derivatives.
data RootMethodJ Source
Instances