pRC
multi-purpose Tensor Train library for C++
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Namespaces | Functions
relative_error.hpp File Reference
#include <prc/core/functors/absolute_error.hpp>
#include <prc/core/functors/div.hpp>
#include <prc/core/functors/norm.hpp>
#include <prc/core/value/functions/absolute_error.hpp>
#include <prc/core/value/functions/cast.hpp>
#include <prc/core/value/functions/div.hpp>
#include <prc/core/value/functions/norm.hpp>

Go to the source code of this file.

Namespaces

namespace  pRC
 

Functions

template<class XA , class XB , class RA = RemoveReference<XA>, class RB = RemoveReference<XB>, If< IsFloat< typename RA::Value > > = 0, If< IsFloat< typename RB::Value > > = 0, If< IsInvocable< AbsoluteError, XA, XB > > = 0, If< IsInvocable< Norm<>, XA > > = 0, If< IsInvocable< Div, ResultOf< AbsoluteError, XA, XB >, ResultOf< Norm<>, XA > > > = 0>
static constexpr auto pRC::relativeError (XA &&a, XB &&b)
 Calculates the relative error of a pRC object from another pRC object.