* Implementation of abstract derivatives of functions. */
/*
- * GiNaC Copyright (C) 1999-2010 Johannes Gutenberg University Mainz, Germany
+ * GiNaC Copyright (C) 1999-2016 Johannes Gutenberg University Mainz, Germany
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
{
}
-fderivative::fderivative(unsigned ser, const paramset & params, std::auto_ptr<exvector> vp) : function(ser, vp), parameter_set(params)
+fderivative::fderivative(unsigned ser, const paramset & params, exvector && v) : function(ser, std::move(v)), parameter_set(params)
{
}
c.s << std::string(level + c.delta_indent, ' ') << "=====" << std::endl;
}
-ex fderivative::eval(int level) const
+ex fderivative::eval() const
{
- if (level > 1) {
- // first evaluate children, then we will end up here again
- return fderivative(serial, parameter_set, evalchildren(level));
- }
-
// No parameters specified? Then return the function itself
if (parameter_set.empty())
return function(serial, seq);
return this->hold();
}
-/** Numeric evaluation falls back to evaluation of arguments.
- * @see basic::evalf */
-ex fderivative::evalf(int level) const
-{
- return basic::evalf(level);
-}
-
/** The series expansion of derivatives falls back to Taylor expansion.
* @see basic::series */
ex fderivative::series(const relational & r, int order, unsigned options) const
return fderivative(serial, parameter_set, v);
}
-ex fderivative::thiscontainer(std::auto_ptr<exvector> vp) const
+ex fderivative::thiscontainer(exvector && v) const
{
- return fderivative(serial, parameter_set, vp);
+ return fderivative(serial, parameter_set, std::move(v));
}
/** Implementation of ex::diff() for derivatives. It applies the chain rule.