mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-08-10 02:39:03 +08:00
fix dot product, add norm/norm2/normalized
add fuzzy compares for matrices/vectors add random matrix/vector generation
This commit is contained in:
parent
7f0a546a81
commit
06e1e0d83b
@ -13,3 +13,4 @@
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#include "Core/Conjugate.h"
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#include "Core/Conjugate.h"
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#include "Core/Trace.h"
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#include "Core/Trace.h"
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#include "Core/Dot.h"
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#include "Core/Dot.h"
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#include "Core/Random.h"
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@ -31,23 +31,17 @@ struct EiDotUnroller
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{
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{
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static void run(const Derived1 &v1, const Derived2& v2, typename Derived1::Scalar &dot)
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static void run(const Derived1 &v1, const Derived2& v2, typename Derived1::Scalar &dot)
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{
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{
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const int i = Index - 1;
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EiDotUnroller<Index-1, Size, Derived1, Derived2>::run(v1, v2, dot);
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EiDotUnroller<Index-1, Size, Derived1, Derived2>::run(v1, v2, dot);
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if(i == Size - 1)
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dot += v1[Index-1] * EiConj(v2[Index-1]);
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dot = v1[i] * EiConj(v2[i]);
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else
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dot += v1[i] * EiConj(v2[i]);
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}
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}
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};
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};
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template<int Size, typename Derived1, typename Derived2>
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template<int Size, typename Derived1, typename Derived2>
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struct EiDotUnroller<0, Size, Derived1, Derived2>
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struct EiDotUnroller<1, Size, Derived1, Derived2>
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{
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{
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static void run(const Derived1 &v1, const Derived2& v2, typename Derived1::Scalar &dot)
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static void run(const Derived1 &v1, const Derived2& v2, typename Derived1::Scalar &dot)
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{
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{
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EI_UNUSED(v1);
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dot = v1[0] * EiConj(v2[0]);
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EI_UNUSED(v2);
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EI_UNUSED(dot);
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}
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}
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};
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};
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@ -80,4 +74,23 @@ Scalar EiObject<Scalar, Derived>::dot(const OtherDerived& other) const
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return res;
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return res;
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}
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}
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template<typename Scalar, typename Derived>
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typename EiNumTraits<Scalar>::Real EiObject<Scalar, Derived>::norm2() const
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{
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assert(IsVector);
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return EiReal(dot(*this));
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}
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template<typename Scalar, typename Derived>
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typename EiNumTraits<Scalar>::Real EiObject<Scalar, Derived>::norm() const
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{
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return EiSqrt(norm2());
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}
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template<typename Scalar, typename Derived>
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EiScalarProduct<Derived> EiObject<Scalar, Derived>::normalized() const
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{
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return (*this) / norm();
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}
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#endif // EI_DOT_H
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#endif // EI_DOT_H
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81
src/Core/Fuzzy.h
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81
src/Core/Fuzzy.h
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@ -0,0 +1,81 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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#ifndef EI_FUZZY_H
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#define EI_FUZZY_H
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template<typename Scalar, typename Derived>
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template<typename OtherDerived>
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bool EiObject<Scalar, Derived>::isApprox(const OtherDerived& other) const
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{
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if(IsVector)
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{
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return((*this - other).norm2()
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<= std::min(norm2(), other.norm2())
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* EiAbs2(EiNumTraits<Scalar>::epsilon()));
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}
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else
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{
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for(int i = 0; i < cols(); i++)
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if(!col(i).isApprox(other.col(i)))
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return false;
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return true;
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}
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}
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template<typename Scalar, typename Derived>
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bool EiObject<Scalar, Derived>::isNegligble(const Scalar& other) const
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{
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if(IsVector)
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{
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return(norm2() <= EiAbs2(other) * EiAbs2(EiNumTraits<Scalar>::epsilon()));
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}
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else
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{
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for(int i = 0; i < cols(); i++)
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if(!col(i).isNegligible(other))
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return false;
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return true;
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}
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}
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template<typename Scalar, typename Derived>
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template<typename OtherDerived>
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bool EiObject<Scalar, Derived>::isNegligble(const EiObject<Scalar, OtherDerived>& other) const
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{
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if(IsVector)
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{
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return(norm2() <= other.norm2() * EiAbs2(EiNumTraits<Scalar>::epsilon()));
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}
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else
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{
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for(int i = 0; i < cols(); i++)
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if(!col(i).isNegligible(other.col(i)))
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return false;
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return true;
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}
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}
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#endif // EI_FUZZY_H
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@ -27,9 +27,9 @@
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#ifndef EI_NUMERIC_H
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#ifndef EI_NUMERIC_H
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#define EI_NUMERIC_H
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#define EI_NUMERIC_H
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template<typename T> struct EiTraits;
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template<typename T> struct EiNumTraits;
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template<> struct EiTraits<int>
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template<> struct EiNumTraits<int>
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{
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{
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typedef int Real;
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typedef int Real;
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typedef double FloatingPoint;
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typedef double FloatingPoint;
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@ -45,16 +45,16 @@ template<> struct EiTraits<int>
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static double sqrt(const int& x) { return std::sqrt(static_cast<double>(x)); }
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static double sqrt(const int& x) { return std::sqrt(static_cast<double>(x)); }
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static int abs(const int& x) { return std::abs(x); }
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static int abs(const int& x) { return std::abs(x); }
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static int abs2(const int& x) { return x*x; }
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static int abs2(const int& x) { return x*x; }
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static int random()
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static int rand()
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{
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{
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// "rand()%21" would be bad. always use the high-order bits, not the low-order bits.
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// "rand()%21" would be bad. always use the high-order bits, not the low-order bits.
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// note: here (gcc 4.1) static_cast<int> seems to round the nearest int.
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// note: here (gcc 4.1) static_cast<int> seems to round the nearest int.
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// I don't know if that's part of the standard.
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// I don't know if that's part of the standard.
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return -10 + static_cast<int>(rand() / ((RAND_MAX + 1.0)/20.0));
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return -10 + static_cast<int>(std::rand() / ((RAND_MAX + 1.0)/20.0));
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}
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}
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};
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};
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template<> struct EiTraits<float>
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template<> struct EiNumTraits<float>
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{
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{
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typedef float Real;
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typedef float Real;
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typedef float FloatingPoint;
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typedef float FloatingPoint;
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@ -70,13 +70,13 @@ template<> struct EiTraits<float>
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static float sqrt(const float& x) { return std::sqrt(x); }
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static float sqrt(const float& x) { return std::sqrt(x); }
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static float abs(const float& x) { return std::abs(x); }
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static float abs(const float& x) { return std::abs(x); }
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static float abs2(const float& x) { return x*x; }
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static float abs2(const float& x) { return x*x; }
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static float random()
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static float rand()
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{
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{
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return rand() / (RAND_MAX/20.0f) - 10.0f;
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return std::rand() / (RAND_MAX/20.0f) - 10.0f;
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}
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}
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};
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};
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template<> struct EiTraits<double>
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template<> struct EiNumTraits<double>
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{
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{
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typedef double Real;
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typedef double Real;
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typedef double FloatingPoint;
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typedef double FloatingPoint;
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@ -92,23 +92,23 @@ template<> struct EiTraits<double>
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static double sqrt(const double& x) { return std::sqrt(x); }
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static double sqrt(const double& x) { return std::sqrt(x); }
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static double abs(const double& x) { return std::abs(x); }
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static double abs(const double& x) { return std::abs(x); }
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static double abs2(const double& x) { return x*x; }
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static double abs2(const double& x) { return x*x; }
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static double random()
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static double rand()
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{
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{
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return rand() / (RAND_MAX/20.0) - 10.0;
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return std::rand() / (RAND_MAX/20.0) - 10.0;
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}
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}
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};
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};
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template<typename _Real> struct EiTraits<std::complex<_Real> >
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template<typename _Real> struct EiNumTraits<std::complex<_Real> >
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{
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{
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typedef _Real Real;
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typedef _Real Real;
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typedef std::complex<Real> Complex;
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typedef std::complex<Real> Complex;
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typedef std::complex<double> FloatingPoint;
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typedef std::complex<double> FloatingPoint;
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typedef typename EiTraits<Real>::FloatingPoint RealFloatingPoint;
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typedef typename EiNumTraits<Real>::FloatingPoint RealFloatingPoint;
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static const bool IsComplex = true;
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static const bool IsComplex = true;
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static const bool HasFloatingPoint = EiTraits<Real>::HasFloatingPoint;
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static const bool HasFloatingPoint = EiNumTraits<Real>::HasFloatingPoint;
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static Real epsilon() { return EiTraits<Real>::epsilon(); }
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static Real epsilon() { return EiNumTraits<Real>::epsilon(); }
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static Real real(const Complex& x) { return std::real(x); }
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static Real real(const Complex& x) { return std::real(x); }
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static Real imag(const Complex& x) { return std::imag(x); }
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static Real imag(const Complex& x) { return std::imag(x); }
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static Complex conj(const Complex& x) { return std::conj(x); }
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static Complex conj(const Complex& x) { return std::conj(x); }
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@ -118,49 +118,49 @@ template<typename _Real> struct EiTraits<std::complex<_Real> >
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{ return std::abs(static_cast<FloatingPoint>(x)); }
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{ return std::abs(static_cast<FloatingPoint>(x)); }
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static Real abs2(const Complex& x)
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static Real abs2(const Complex& x)
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{ return std::real(x) * std::real(x) + std::imag(x) * std::imag(x); }
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{ return std::real(x) * std::real(x) + std::imag(x) * std::imag(x); }
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static Complex random()
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static Complex rand()
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{
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{
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return Complex(EiTraits<Real>::random(), EiTraits<Real>::random());
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return Complex(EiNumTraits<Real>::rand(), EiNumTraits<Real>::rand());
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}
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}
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};
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};
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template<typename T> typename EiTraits<T>::Real EiReal(const T& x)
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template<typename T> typename EiNumTraits<T>::Real EiReal(const T& x)
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{ return EiTraits<T>::real(x); }
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{ return EiNumTraits<T>::real(x); }
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template<typename T> typename EiTraits<T>::Real EiImag(const T& x)
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template<typename T> typename EiNumTraits<T>::Real EiImag(const T& x)
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{ return EiTraits<T>::imag(x); }
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{ return EiNumTraits<T>::imag(x); }
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template<typename T> T EiConj(const T& x)
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template<typename T> T EiConj(const T& x)
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{ return EiTraits<T>::conj(x); }
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{ return EiNumTraits<T>::conj(x); }
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template<typename T> typename EiTraits<T>::FloatingPoint EiSqrt(const T& x)
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template<typename T> typename EiNumTraits<T>::FloatingPoint EiSqrt(const T& x)
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{ return EiTraits<T>::sqrt(x); }
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{ return EiNumTraits<T>::sqrt(x); }
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template<typename T> typename EiTraits<T>::RealFloatingPoint EiAbs(const T& x)
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template<typename T> typename EiNumTraits<T>::RealFloatingPoint EiAbs(const T& x)
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{ return EiTraits<T>::abs(x); }
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{ return EiNumTraits<T>::abs(x); }
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template<typename T> typename EiTraits<T>::Real EiAbs2(const T& x)
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template<typename T> typename EiNumTraits<T>::Real EiAbs2(const T& x)
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{ return EiTraits<T>::abs2(x); }
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{ return EiNumTraits<T>::abs2(x); }
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template<typename T> T EiRandom()
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template<typename T> T EiRand()
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{ return EiTraits<T>::random(); }
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{ return EiNumTraits<T>::rand(); }
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template<typename T> bool EiNegligible(const T& a, const T& b)
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template<typename T> bool EiNegligible(const T& a, const T& b)
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{
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{
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return(EiAbs(a) <= EiAbs(b) * EiTraits<T>::epsilon());
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return(EiAbs(a) <= EiAbs(b) * EiNumTraits<T>::epsilon());
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}
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}
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template<typename T> bool EiApprox(const T& a, const T& b)
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template<typename T> bool EiApprox(const T& a, const T& b)
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{
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{
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if(EiTraits<T>::IsFloat)
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if(EiNumTraits<T>::IsFloat)
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return(EiAbs(a - b) <= std::min(EiAbs(a), EiAbs(b)) * EiTraits<T>::epsilon());
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return(EiAbs(a - b) <= std::min(EiAbs(a), EiAbs(b)) * EiNumTraits<T>::epsilon());
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else
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else
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return(a == b);
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return(a == b);
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}
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}
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template<typename T> bool EiLessThanOrApprox(const T& a, const T& b)
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template<typename T> bool EiLessThanOrApprox(const T& a, const T& b)
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{
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{
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if(EiTraits<T>::IsFloat)
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if(EiNumTraits<T>::IsFloat)
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return(a < b || EiApprox(a, b));
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return(a < b || EiApprox(a, b));
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else
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else
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return(a <= b);
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return(a <= b);
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@ -42,6 +42,7 @@ template<typename Scalar, typename Derived> class EiObject
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|
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typedef typename EiForwardDecl<Derived>::Ref Ref;
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typedef typename EiForwardDecl<Derived>::Ref Ref;
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typedef typename EiForwardDecl<Derived>::ConstRef ConstRef;
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typedef typename EiForwardDecl<Derived>::ConstRef ConstRef;
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typedef typename EiNumTraits<Scalar>::Real RealScalar;
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|
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int rows() const { return static_cast<const Derived *>(this)->_rows(); }
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int rows() const { return static_cast<const Derived *>(this)->_rows(); }
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int cols() const { return static_cast<const Derived *>(this)->_cols(); }
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int cols() const { return static_cast<const Derived *>(this)->_cols(); }
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@ -92,8 +93,17 @@ template<typename Scalar, typename Derived> class EiObject
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template<typename OtherDerived>
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template<typename OtherDerived>
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Scalar dot(const OtherDerived& other) const;
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Scalar dot(const OtherDerived& other) const;
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Scalar norm2() const { assert(IsVector); return dot(*this); }
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RealScalar norm2() const;
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Scalar norm() const { assert(IsVector); return EiSqrt(dot(*this)); }
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RealScalar norm() const;
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EiScalarProduct<Derived> normalized() const;
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static EiEval<EiRandom<Derived> >
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random(int rows = RowsAtCompileTime, int cols = ColsAtCompileTime);
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|
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template<typename OtherDerived>
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bool isApprox(const OtherDerived& other) const;
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template<typename OtherDerived>
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bool isNegligible(const OtherDerived& other) const;
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template<typename OtherDerived>
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template<typename OtherDerived>
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EiMatrixProduct<Derived, OtherDerived>
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EiMatrixProduct<Derived, OtherDerived>
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|
67
src/Core/Random.h
Normal file
67
src/Core/Random.h
Normal file
@ -0,0 +1,67 @@
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|
// This file is part of Eigen, a lightweight C++ template library
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|
// for linear algebra. Eigen itself is part of the KDE project.
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|
//
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|
// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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|
//
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|
// Eigen is free software; you can redistribute it and/or modify it under the
|
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|
// terms of the GNU General Public License as published by the Free Software
|
||||||
|
// Foundation; either version 2 or (at your option) any later version.
|
||||||
|
//
|
||||||
|
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
|
||||||
|
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
|
||||||
|
// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
|
||||||
|
// details.
|
||||||
|
//
|
||||||
|
// You should have received a copy of the GNU General Public License along
|
||||||
|
// with Eigen; if not, write to the Free Software Foundation, Inc., 51
|
||||||
|
// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
|
||||||
|
//
|
||||||
|
// As a special exception, if other files instantiate templates or use macros
|
||||||
|
// or functions from this file, or you compile this file and link it
|
||||||
|
// with other works to produce a work based on this file, this file does not
|
||||||
|
// by itself cause the resulting work to be covered by the GNU General Public
|
||||||
|
// License. This exception does not invalidate any other reasons why a work
|
||||||
|
// based on this file might be covered by the GNU General Public License.
|
||||||
|
|
||||||
|
#ifndef EI_RANDOM_H
|
||||||
|
#define EI_RANDOM_H
|
||||||
|
|
||||||
|
template<typename MatrixType> class EiRandom
|
||||||
|
: public EiObject<typename MatrixType::Scalar, EiRandom<MatrixType> >
|
||||||
|
{
|
||||||
|
public:
|
||||||
|
typedef typename MatrixType::Scalar Scalar;
|
||||||
|
friend class EiObject<Scalar, EiRandom<MatrixType> >;
|
||||||
|
|
||||||
|
static const int RowsAtCompileTime = MatrixType::RowsAtCompileTime,
|
||||||
|
ColsAtCompileTime = MatrixType::ColsAtCompileTime;
|
||||||
|
|
||||||
|
EiRandom(int rows, int cols) : m_rows(rows), m_cols(cols)
|
||||||
|
{
|
||||||
|
assert(rows > 0 && cols > 0);
|
||||||
|
}
|
||||||
|
|
||||||
|
private:
|
||||||
|
EiRandom& _ref() { return *this; }
|
||||||
|
const EiRandom& _constRef() const { return *this; }
|
||||||
|
int _rows() const { return m_rows; }
|
||||||
|
int _cols() const { return m_cols; }
|
||||||
|
|
||||||
|
Scalar _read(int row, int col) const
|
||||||
|
{
|
||||||
|
EI_UNUSED(row);
|
||||||
|
EI_UNUSED(col);
|
||||||
|
return EiRand<Scalar>();
|
||||||
|
}
|
||||||
|
|
||||||
|
protected:
|
||||||
|
int m_rows, m_cols;
|
||||||
|
};
|
||||||
|
|
||||||
|
template<typename Scalar, typename Derived>
|
||||||
|
EiEval<EiRandom<Derived> > EiObject<Scalar, Derived>::random(int rows, int cols)
|
||||||
|
{
|
||||||
|
return EiRandom<Derived>(rows, cols).eval();
|
||||||
|
}
|
||||||
|
|
||||||
|
#endif // EI_RANDOM_H
|
@ -83,7 +83,7 @@ EiScalarProduct<Derived> \
|
|||||||
operator/(const EiObject<Scalar, Derived>& matrix, \
|
operator/(const EiObject<Scalar, Derived>& matrix, \
|
||||||
OtherScalar scalar) \
|
OtherScalar scalar) \
|
||||||
{ \
|
{ \
|
||||||
assert(EiTraits<Scalar>::HasFloatingPoint); \
|
assert(EiNumTraits<Scalar>::HasFloatingPoint); \
|
||||||
return matrix * (static_cast<Scalar>(1) / scalar); \
|
return matrix * (static_cast<Scalar>(1) / scalar); \
|
||||||
} \
|
} \
|
||||||
\
|
\
|
||||||
|
@ -54,6 +54,7 @@ template<typename Lhs, typename Rhs> class EiSum;
|
|||||||
template<typename Lhs, typename Rhs> class EiDifference;
|
template<typename Lhs, typename Rhs> class EiDifference;
|
||||||
template<typename Lhs, typename Rhs> class EiMatrixProduct;
|
template<typename Lhs, typename Rhs> class EiMatrixProduct;
|
||||||
template<typename MatrixType> class EiScalarProduct;
|
template<typename MatrixType> class EiScalarProduct;
|
||||||
|
template<typename MatrixType> class EiRandom;
|
||||||
template<typename ExpressionType> class EiEval;
|
template<typename ExpressionType> class EiEval;
|
||||||
|
|
||||||
template<typename T> struct EiForwardDecl
|
template<typename T> struct EiForwardDecl
|
||||||
|
@ -47,7 +47,7 @@ class EigenTest : public QObject
|
|||||||
void testMatrixManip();
|
void testMatrixManip();
|
||||||
};
|
};
|
||||||
|
|
||||||
template<typename T> inline typename EiTraits<T>::Real TestEpsilon();
|
template<typename T> inline typename EiNumTraits<T>::Real TestEpsilon();
|
||||||
template<> inline int TestEpsilon<int>() { return 0; }
|
template<> inline int TestEpsilon<int>() { return 0; }
|
||||||
template<> inline float TestEpsilon<float>() { return 1e-2f; }
|
template<> inline float TestEpsilon<float>() { return 1e-2f; }
|
||||||
template<> inline double TestEpsilon<double>() { return 1e-4; }
|
template<> inline double TestEpsilon<double>() { return 1e-4; }
|
||||||
@ -62,7 +62,7 @@ template<typename T> bool TestNegligible(const T& a, const T& b)
|
|||||||
|
|
||||||
template<typename T> bool TestApprox(const T& a, const T& b)
|
template<typename T> bool TestApprox(const T& a, const T& b)
|
||||||
{
|
{
|
||||||
if(EiTraits<T>::IsFloat)
|
if(EiNumTraits<T>::IsFloat)
|
||||||
return(EiAbs(a - b) <= std::min(EiAbs(a), EiAbs(b)) * TestEpsilon<T>());
|
return(EiAbs(a - b) <= std::min(EiAbs(a), EiAbs(b)) * TestEpsilon<T>());
|
||||||
else
|
else
|
||||||
return(a == b);
|
return(a == b);
|
||||||
@ -70,7 +70,7 @@ template<typename T> bool TestApprox(const T& a, const T& b)
|
|||||||
|
|
||||||
template<typename T> bool TestLessThanOrApprox(const T& a, const T& b)
|
template<typename T> bool TestLessThanOrApprox(const T& a, const T& b)
|
||||||
{
|
{
|
||||||
if(EiTraits<T>::IsFloat)
|
if(EiNumTraits<T>::IsFloat)
|
||||||
return(a < b || EiApprox(a, b));
|
return(a < b || EiApprox(a, b));
|
||||||
else
|
else
|
||||||
return(a <= b);
|
return(a <= b);
|
||||||
|
Loading…
x
Reference in New Issue
Block a user