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template<matrix_order RO, matrix_style RS, typename T , matrix_order PO, matrix_style PS, typename FUNCTOR >  
Calculate gradient of a function using a forward difference formula.  This function numerically calculates the gradient of a vector-valued function at theta using a forward difference formula. Parameters:
  
    | fun | The function to calculate the gradient of. This function should both take and return a single Matrix (vector) of type T. |  | theta | The column vector of values at which to calculate the gradient of the function. | 
 See also:gradfdifls(FUNCTOR fun, T alpha, const Matrix<T,PO1,PS1>& theta, const Matrix<T,PO2,PS2>& p) 
jacfdif(FUNCTOR fun, const Matrix<T,PO,PS>& theta) 
hesscdif(FUNCTOR fun, const Matrix<T,PO,PS>& theta)
 Exceptions:
  
  
 Note:Users will typically wish to implement fun in terms of a functor. Using a functor provides a generic way in which to evaluate functions with more than one parameter. Furthermore, although one can pass a function pointer to this routine, the compiler cannot inline and fully optimize code referenced by function pointers. 
 References scythe::Matrix_base< ORDER, STYLE >::isColVector(), SCYTHE_CHECK_10, scythe::Matrix_base< ORDER, STYLE >::size(), and sqrt(). Referenced by BFGS(), and linesearch1(). |