public static void mincgoptimize(mincgstate state, ndimensional_grad grad, ndimensional_rep rep, object obj)
{
if( grad==null )
throw new alglibexception("ALGLIB: error in 'mincgoptimize()' (grad is null)");
while( alglib.mincgiteration(state) )
{
if( state.needfg )
{
grad(state.x, ref state.innerobj.f, state.innerobj.g, obj);
continue;
}
if( state.innerobj.xupdated )
{
if( rep!=null )
rep(state.innerobj.x, state.innerobj.f, obj);
continue;
}
throw new alglibexception("ALGLIB: error in 'mincgoptimize' (some derivatives were not provided?)");
}
}
public static void lsfitfit(lsfitstate state, ndimensional_pfunc func, ndimensional_pgrad grad, ndimensional_phess hess, ndimensional_rep rep, object obj)
{
if( func==null )
throw new alglibexception("ALGLIB: error in 'lsfitfit()' (func is null)");
if( grad==null )
throw new alglibexception("ALGLIB: error in 'lsfitfit()' (grad is null)");
if( hess==null )
throw new alglibexception("ALGLIB: error in 'lsfitfit()' (hess is null)");
while( alglib.lsfititeration(state) )
{
if( state.needf )
{
func(state.c, state.x, ref state.innerobj.f, obj);
continue;
}
if( state.needfg )
{
grad(state.c, state.x, ref state.innerobj.f, state.innerobj.g, obj);
continue;
}
if( state.needfgh )
{
hess(state.c, state.x, ref state.innerobj.f, state.innerobj.g, state.innerobj.h, obj);
continue;
}
if( state.innerobj.xupdated )
{
if( rep!=null )
rep(state.innerobj.x, state.innerobj.f, obj);
continue;
}
throw new alglibexception("ALGLIB: error in 'lsfitfit' (some derivatives were not provided?)");
}
}