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bvar_forecast.m
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Sébastien Villemot authoredSébastien Villemot authored
nlsolve.hh 2.88 KiB
// Copyright (C) 2006, Ondra Kamenik
// $Id: nlsolve.h 762 2006-05-22 13:00:07Z kamenik $
#ifndef OGU_NLSOLVE_H
#define OGU_NLSOLVE_H
#include "twod_matrix.hh"
#include "journal.hh"
namespace ogu
{
class OneDFunction
{
public:
virtual ~OneDFunction()
= default;
virtual double eval(double) = 0;
};
class GoldenSectionSearch
{
protected:
static double tol;
static double golden;
public:
static double search(OneDFunction &f, double x1, double x2);
protected:
/** This initializes a bracket by moving x2 and b (as a golden
* section of x1,x2) so that f(x1)>f(b) && f(b)<f(x2). The point
* x1 is not moved, since it is considered as reliable and f(x1)
* is supposed to be finite. If initialization of a bracket
* succeeded, then [x1, b, x2] is the bracket and true is
* returned. Otherwise, b is the minimum found and false is
* returned. */
static bool init_bracket(OneDFunction &f, double x1, double &x2, double &b);
/** This supposes that f(x1) is finite and it moves x2 toward x1
* until x2 and b (as a golden section of x1,x2) are finite. If
* succeeded, the routine returns true and x2, and b. Otherwise,
* it returns false. */
static bool search_for_finite(OneDFunction &f, double x1, double &x2, double &b);
};
class VectorFunction
{
public:
VectorFunction()
= default;
virtual ~VectorFunction()
= default;
virtual int inDim() const = 0;
virtual int outDim() const = 0;
/** Check dimensions of eval parameters. */
void check_for_eval(const ConstVector &in, Vector &out) const;
/** Evaluate the vector function. */
virtual void eval(const ConstVector &in, Vector &out) = 0;
};
class Jacobian : public TwoDMatrix
{
public:
Jacobian(int n)
: TwoDMatrix(n, n)
{
}
~Jacobian()
override = default;
virtual void eval(const Vector &in) = 0;
};
class NLSolver : public OneDFunction
{
protected:
Journal &journal;
VectorFunction &func;
Jacobian &jacob;
const int max_iter;
const double tol;
private:
Vector xnewton;
Vector xcauchy;
Vector x;
public:
NLSolver(VectorFunction &f, Jacobian &j, int maxit, double tl, Journal &jr)
: journal(jr), func(f), jacob(j), max_iter(maxit), tol(tl),
xnewton(f.inDim()), xcauchy(f.inDim()), x(f.inDim())
{
xnewton.zeros(); xcauchy.zeros(); x.zeros();
}
~NLSolver()
override = default;
/** Returns true if the problem has converged. xx as input is the
* starting value, as output it is a solution. */
bool solve(Vector &xx, int &iter);
/** To implement OneDFunction interface. It returns
* func(xx)^T*func(xx), where
* xx=x+lambda*xcauchy+(1-lambda)*xnewton. It is non-const only
* because it calls func, x, xnewton, xcauchy is not changed. */
double eval(double lambda) override;
};
};
#endif