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|
{- |
Module : Numeric.GSL.Root
Copyright : (c) Alberto Ruiz 2009
License : GPL
Maintainer : Alberto Ruiz (aruiz at um dot es)
Stability : provisional
Portability : uses ffi
Multidimensional root finding.
<http://www.gnu.org/software/gsl/manual/html_node/Multidimensional-Root_002dFinding.html>
The example in the GSL manual:
>>> let rosenbrock a b [x,y] = [ a*(1-x), b*(y-x^2) ]
>>> let (sol,path) = root Hybrids 1E-7 30 (rosenbrock 1 10) [-10,-5]
>>> sol
[1.0,1.0]
>>> disp 3 path
11x5
1.000 -10.000 -5.000 11.000 -1050.000
2.000 -3.976 24.827 4.976 90.203
3.000 -3.976 24.827 4.976 90.203
4.000 -3.976 24.827 4.976 90.203
5.000 -1.274 -5.680 2.274 -73.018
6.000 -1.274 -5.680 2.274 -73.018
7.000 0.249 0.298 0.751 2.359
8.000 0.249 0.298 0.751 2.359
9.000 1.000 0.878 -0.000 -1.218
10.000 1.000 0.989 -0.000 -0.108
11.000 1.000 1.000 0.000 0.000
-}
-----------------------------------------------------------------------------
module Numeric.GSL.Root (
uniRoot, UniRootMethod(..),
uniRootJ, UniRootMethodJ(..),
root, RootMethod(..),
rootJ, RootMethodJ(..),
) where
import Data.Packed.Internal
import Data.Packed.Matrix
import Numeric.GSL.Internal
import Foreign.Ptr(FunPtr, freeHaskellFunPtr)
import Foreign.C.Types
import System.IO.Unsafe(unsafePerformIO)
-------------------------------------------------------------------------
data UniRootMethod = Bisection
| FalsePos
| Brent
deriving (Enum, Eq, Show, Bounded)
uniRoot :: UniRootMethod
-> Double
-> Int
-> (Double -> Double)
-> Double
-> Double
-> (Double, Matrix Double)
uniRoot method epsrel maxit fun xl xu = uniRootGen (fi (fromEnum method)) fun xl xu epsrel maxit
uniRootGen m f xl xu epsrel maxit = unsafePerformIO $ do
fp <- mkDoublefun f
rawpath <- createMIO maxit 4
(c_root m fp epsrel (fi maxit) xl xu)
"root"
let it = round (rawpath @@> (maxit-1,0))
path = takeRows it rawpath
[sol] = toLists $ dropRows (it-1) path
freeHaskellFunPtr fp
return (sol !! 1, path)
foreign import ccall safe "root"
c_root:: CInt -> FunPtr (Double -> Double) -> Double -> CInt -> Double -> Double -> TM
-------------------------------------------------------------------------
data UniRootMethodJ = UNewton
| Secant
| Steffenson
deriving (Enum, Eq, Show, Bounded)
uniRootJ :: UniRootMethodJ
-> Double
-> Int
-> (Double -> Double)
-> (Double -> Double)
-> Double
-> (Double, Matrix Double)
uniRootJ method epsrel maxit fun dfun x = uniRootJGen (fi (fromEnum method)) fun
dfun x epsrel maxit
uniRootJGen m f df x epsrel maxit = unsafePerformIO $ do
fp <- mkDoublefun f
dfp <- mkDoublefun df
rawpath <- createMIO maxit 2
(c_rootj m fp dfp epsrel (fi maxit) x)
"rootj"
let it = round (rawpath @@> (maxit-1,0))
path = takeRows it rawpath
[sol] = toLists $ dropRows (it-1) path
freeHaskellFunPtr fp
return (sol !! 1, path)
foreign import ccall safe "rootj"
c_rootj :: CInt -> FunPtr (Double -> Double) -> FunPtr (Double -> Double)
-> Double -> CInt -> Double -> TM
-------------------------------------------------------------------------
data RootMethod = Hybrids
| Hybrid
| DNewton
| Broyden
deriving (Enum,Eq,Show,Bounded)
-- | 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.
root :: 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
root method epsabs maxit fun xinit = rootGen (fi (fromEnum method)) fun xinit epsabs maxit
rootGen m f xi epsabs maxit = unsafePerformIO $ do
let xiv = fromList xi
n = dim xiv
fp <- mkVecVecfun (aux_vTov (checkdim1 n . fromList . f . toList))
rawpath <- vec xiv $ \xiv' ->
createMIO maxit (2*n+1)
(c_multiroot m fp epsabs (fi maxit) // xiv')
"multiroot"
let it = round (rawpath @@> (maxit-1,0))
path = takeRows it rawpath
[sol] = toLists $ dropRows (it-1) path
freeHaskellFunPtr fp
return (take n $ drop 1 sol, path)
foreign import ccall safe "multiroot"
c_multiroot:: CInt -> FunPtr TVV -> Double -> CInt -> TVM
-------------------------------------------------------------------------
data RootMethodJ = HybridsJ
| HybridJ
| Newton
| GNewton
deriving (Enum,Eq,Show,Bounded)
-- | Nonlinear multidimensional root finding using both the function and its derivatives.
rootJ :: 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
rootJ method epsabs maxit fun jac xinit = rootJGen (fi (fromEnum method)) fun jac xinit epsabs maxit
rootJGen m f jac xi epsabs maxit = unsafePerformIO $ do
let xiv = fromList xi
n = dim xiv
fp <- mkVecVecfun (aux_vTov (checkdim1 n . fromList . f . toList))
jp <- mkVecMatfun (aux_vTom (checkdim2 n . fromLists . jac . toList))
rawpath <- vec xiv $ \xiv' ->
createMIO maxit (2*n+1)
(c_multirootj m fp jp epsabs (fi maxit) // xiv')
"multiroot"
let it = round (rawpath @@> (maxit-1,0))
path = takeRows it rawpath
[sol] = toLists $ dropRows (it-1) path
freeHaskellFunPtr fp
freeHaskellFunPtr jp
return (take n $ drop 1 sol, path)
foreign import ccall safe "multirootj"
c_multirootj:: CInt -> FunPtr TVV -> FunPtr TVM -> Double -> CInt -> TVM
-------------------------------------------------------
checkdim1 n v
| dim v == n = v
| otherwise = error $ "Error: "++ show n
++ " components expected in the result of the function supplied to root"
checkdim2 n m
| rows m == n && cols m == n = m
| otherwise = error $ "Error: "++ show n ++ "x" ++ show n
++ " Jacobian expected in rootJ"
|
