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9 Commits

Author SHA1 Message Date
Gael Guennebaud
f90db64e6a bump to 2.0.16 2011-05-28 10:16:08 +02:00
Gael Guennebaud
d6293e6385 fix perf regression introduced by changeset 7852a48a2f
(matrix-vector product did not use the nesting rules....)
2011-05-27 22:05:39 +02:00
Gael Guennebaud
aaaa9301a8 fix bug #250 (gcc 4.6 compilation) 2011-04-19 16:35:48 +02:00
Gael Guennebaud
780f312228 fix LS documentation 2011-02-24 19:03:49 +01:00
Piotr Trojanek
ced86f3bfc class/struct mismatch for different template invocations 2011-01-16 00:32:13 +01:00
Benoit Jacob
1869a02f52 add part<SelfAdjoint>... it's never too late and I need this for eigen2support 2011-01-25 19:49:38 -05:00
DJ Marcin
0c8a25ef94 fix operator& precedence bug 2010-08-23 22:32:49 -04:00
Gael Guennebaud
70f355b51a backport fix on 3x3 triadiagonalization, this fix #149 2010-07-22 21:26:09 +02:00
Benoit Jacob
2d0963fb00 Added tag 2.0.15 for changeset 907fba9ea9 2010-07-16 22:25:12 -04:00
9 changed files with 101 additions and 39 deletions

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@@ -7,7 +7,7 @@ set(INCLUDE_INSTALL_DIR
"The directory where we install the header files" "The directory where we install the header files"
FORCE) FORCE)
set(EIGEN_VERSION_NUMBER "2.0.15") set(EIGEN_VERSION_NUMBER "2.0.16")
set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER}") set(EIGEN_VERSION "${EIGEN_VERSION_NUMBER}")
set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake) set(CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake)

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@@ -52,6 +52,7 @@
#endif #endif
#endif #endif
#include <cstddef>
#include <cstdlib> #include <cstdlib>
#include <cmath> #include <cmath>
#include <complex> #include <complex>

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@@ -187,6 +187,17 @@ template<typename LhsNested, typename RhsNested, int ProductMode> class Product
_LhsNested, _RhsNested, Scalar> ScalarCoeffImpl; _LhsNested, _RhsNested, Scalar> ScalarCoeffImpl;
public: public:
typedef typename ei_nested<_LhsNested,_RhsNested::ColsAtCompileTime>::type LhsNestedX;
typedef typename ei_nested<_RhsNested,_LhsNested::RowsAtCompileTime>::type RhsNestedX;
typedef typename ei_cleantype<LhsNestedX>::type _LhsNestedX;
typedef typename ei_cleantype<RhsNestedX>::type _RhsNestedX;
enum {
LhsNestedFlags = _LhsNestedX::Flags,
RhsNestedFlags = _RhsNestedX::Flags
};
template<typename Lhs, typename Rhs> template<typename Lhs, typename Rhs>
inline Product(const Lhs& lhs, const Rhs& rhs) inline Product(const Lhs& lhs, const Rhs& rhs)
@@ -522,11 +533,11 @@ static void ei_cache_friendly_product_rowmajor_times_vector(
template<typename ProductType, template<typename ProductType,
int LhsRows = ei_traits<ProductType>::RowsAtCompileTime, int LhsRows = ei_traits<ProductType>::RowsAtCompileTime,
int LhsOrder = int(ei_traits<ProductType>::LhsFlags)&RowMajorBit ? RowMajor : ColMajor, int LhsOrder = int(ProductType::LhsNestedFlags)&RowMajorBit ? RowMajor : ColMajor,
int LhsHasDirectAccess = int(ei_traits<ProductType>::LhsFlags)&DirectAccessBit? HasDirectAccess : NoDirectAccess, int LhsHasDirectAccess = int(ProductType::LhsNestedFlags)&DirectAccessBit? HasDirectAccess : NoDirectAccess,
int RhsCols = ei_traits<ProductType>::ColsAtCompileTime, int RhsCols = ProductType::ColsAtCompileTime,
int RhsOrder = int(ei_traits<ProductType>::RhsFlags)&RowMajorBit ? RowMajor : ColMajor, int RhsOrder = int(ProductType::RhsNestedFlags)&RowMajorBit ? RowMajor : ColMajor,
int RhsHasDirectAccess = int(ei_traits<ProductType>::RhsFlags)&DirectAccessBit? HasDirectAccess : NoDirectAccess> int RhsHasDirectAccess = int(ProductType::RhsNestedFlags)&DirectAccessBit? HasDirectAccess : NoDirectAccess>
struct ei_cache_friendly_product_selector struct ei_cache_friendly_product_selector
{ {
template<typename DestDerived> template<typename DestDerived>
@@ -543,9 +554,12 @@ struct ei_cache_friendly_product_selector<ProductType,LhsRows,ColMajor,NoDirectA
template<typename DestDerived> template<typename DestDerived>
inline static void run(DestDerived& res, const ProductType& product) inline static void run(DestDerived& res, const ProductType& product)
{ {
const int size = product.rhs().rows(); typename ProductType::LhsNestedX lhs(product.lhs());
typename ProductType::RhsNestedX rhs(product.rhs());
const int size = rhs.rows();
for (int k=0; k<size; ++k) for (int k=0; k<size; ++k)
res += product.rhs().coeff(k) * product.lhs().col(k); res += rhs.coeff(k) * lhs.col(k);
} }
}; };
@@ -559,6 +573,9 @@ struct ei_cache_friendly_product_selector<ProductType,LhsRows,ColMajor,HasDirect
template<typename DestDerived> template<typename DestDerived>
inline static void run(DestDerived& res, const ProductType& product) inline static void run(DestDerived& res, const ProductType& product)
{ {
typename ProductType::LhsNestedX lhs(product.lhs());
typename ProductType::RhsNestedX rhs(product.rhs());
enum { enum {
EvalToRes = (ei_packet_traits<Scalar>::size==1) EvalToRes = (ei_packet_traits<Scalar>::size==1)
||((DestDerived::Flags&ActualPacketAccessBit) && (!(DestDerived::Flags & RowMajorBit))) }; ||((DestDerived::Flags&ActualPacketAccessBit) && (!(DestDerived::Flags & RowMajorBit))) };
@@ -571,8 +588,8 @@ struct ei_cache_friendly_product_selector<ProductType,LhsRows,ColMajor,HasDirect
Map<Matrix<Scalar,DestDerived::RowsAtCompileTime,1,ColMajor> >(_res, res.size()) = res; Map<Matrix<Scalar,DestDerived::RowsAtCompileTime,1,ColMajor> >(_res, res.size()) = res;
} }
ei_cache_friendly_product_colmajor_times_vector(res.size(), ei_cache_friendly_product_colmajor_times_vector(res.size(),
&product.lhs().const_cast_derived().coeffRef(0,0), product.lhs().stride(), &lhs.const_cast_derived().coeffRef(0,0), lhs.stride(),
product.rhs(), _res); rhs, _res);
if (!EvalToRes) if (!EvalToRes)
{ {
@@ -589,9 +606,12 @@ struct ei_cache_friendly_product_selector<ProductType,1,LhsOrder,LhsAccess,RhsCo
template<typename DestDerived> template<typename DestDerived>
inline static void run(DestDerived& res, const ProductType& product) inline static void run(DestDerived& res, const ProductType& product)
{ {
const int cols = product.lhs().cols(); typename ProductType::LhsNestedX lhs(product.lhs());
typename ProductType::RhsNestedX rhs(product.rhs());
const int cols = lhs.cols();
for (int j=0; j<cols; ++j) for (int j=0; j<cols; ++j)
res += product.lhs().coeff(j) * product.rhs().row(j); res += lhs.coeff(j) * rhs.row(j);
} }
}; };
@@ -605,6 +625,9 @@ struct ei_cache_friendly_product_selector<ProductType,1,LhsOrder,LhsAccess,RhsCo
template<typename DestDerived> template<typename DestDerived>
inline static void run(DestDerived& res, const ProductType& product) inline static void run(DestDerived& res, const ProductType& product)
{ {
typename ProductType::LhsNestedX lhs(product.lhs());
typename ProductType::RhsNestedX rhs(product.rhs());
enum { enum {
EvalToRes = (ei_packet_traits<Scalar>::size==1) EvalToRes = (ei_packet_traits<Scalar>::size==1)
||((DestDerived::Flags & ActualPacketAccessBit) && (DestDerived::Flags & RowMajorBit)) }; ||((DestDerived::Flags & ActualPacketAccessBit) && (DestDerived::Flags & RowMajorBit)) };
@@ -617,8 +640,8 @@ struct ei_cache_friendly_product_selector<ProductType,1,LhsOrder,LhsAccess,RhsCo
Map<Matrix<Scalar,1,DestDerived::SizeAtCompileTime,ColMajor> >(_res, res.size()) = res; Map<Matrix<Scalar,1,DestDerived::SizeAtCompileTime,ColMajor> >(_res, res.size()) = res;
} }
ei_cache_friendly_product_colmajor_times_vector(res.size(), ei_cache_friendly_product_colmajor_times_vector(res.size(),
&product.rhs().const_cast_derived().coeffRef(0,0), product.rhs().stride(), &rhs.const_cast_derived().coeffRef(0,0), rhs.stride(),
product.lhs().transpose(), _res); lhs.transpose(), _res);
if (!EvalToRes) if (!EvalToRes)
{ {
@@ -635,25 +658,28 @@ struct ei_cache_friendly_product_selector<ProductType,LhsRows,RowMajor,HasDirect
typedef typename ProductType::Scalar Scalar; typedef typename ProductType::Scalar Scalar;
typedef typename ei_traits<ProductType>::_RhsNested Rhs; typedef typename ei_traits<ProductType>::_RhsNested Rhs;
enum { enum {
UseRhsDirectly = ((ei_packet_traits<Scalar>::size==1) || (Rhs::Flags&ActualPacketAccessBit)) UseRhsDirectly = ((ei_packet_traits<Scalar>::size==1) || (ProductType::RhsNestedFlags&ActualPacketAccessBit))
&& (Rhs::Flags&DirectAccessBit) && (ProductType::RhsNestedFlags&DirectAccessBit)
&& (!(Rhs::Flags & RowMajorBit)) }; && (!(ProductType::RhsNestedFlags & RowMajorBit)) };
template<typename DestDerived> template<typename DestDerived>
inline static void run(DestDerived& res, const ProductType& product) inline static void run(DestDerived& res, const ProductType& product)
{ {
typename ProductType::LhsNestedX lhs(product.lhs());
typename ProductType::RhsNestedX rhs(product.rhs());
Scalar* EIGEN_RESTRICT _rhs; Scalar* EIGEN_RESTRICT _rhs;
if (UseRhsDirectly) if (UseRhsDirectly)
_rhs = &product.rhs().const_cast_derived().coeffRef(0); _rhs = &rhs.const_cast_derived().coeffRef(0);
else else
{ {
_rhs = ei_aligned_stack_new(Scalar, product.rhs().size()); _rhs = ei_aligned_stack_new(Scalar, rhs.size());
Map<Matrix<Scalar,Rhs::SizeAtCompileTime,1,ColMajor> >(_rhs, product.rhs().size()) = product.rhs(); Map<Matrix<Scalar,Rhs::SizeAtCompileTime,1,ColMajor> >(_rhs, rhs.size()) = rhs;
} }
ei_cache_friendly_product_rowmajor_times_vector(&product.lhs().const_cast_derived().coeffRef(0,0), product.lhs().stride(), ei_cache_friendly_product_rowmajor_times_vector(&lhs.const_cast_derived().coeffRef(0,0), lhs.stride(),
_rhs, product.rhs().size(), res); _rhs, rhs.size(), res);
if (!UseRhsDirectly) ei_aligned_stack_delete(Scalar, _rhs, product.rhs().size()); if (!UseRhsDirectly) ei_aligned_stack_delete(Scalar, _rhs, rhs.size());
} }
}; };
@@ -664,25 +690,28 @@ struct ei_cache_friendly_product_selector<ProductType,1,LhsOrder,LhsAccess,RhsCo
typedef typename ProductType::Scalar Scalar; typedef typename ProductType::Scalar Scalar;
typedef typename ei_traits<ProductType>::_LhsNested Lhs; typedef typename ei_traits<ProductType>::_LhsNested Lhs;
enum { enum {
UseLhsDirectly = ((ei_packet_traits<Scalar>::size==1) || (Lhs::Flags&ActualPacketAccessBit)) UseLhsDirectly = ((ei_packet_traits<Scalar>::size==1) || (ProductType::LhsNestedFlags&ActualPacketAccessBit))
&& (Lhs::Flags&DirectAccessBit) && (ProductType::LhsNestedFlags&DirectAccessBit)
&& (Lhs::Flags & RowMajorBit) }; && (ProductType::LhsNestedFlags & RowMajorBit) };
template<typename DestDerived> template<typename DestDerived>
inline static void run(DestDerived& res, const ProductType& product) inline static void run(DestDerived& res, const ProductType& product)
{ {
typename ProductType::LhsNestedX lhs(product.lhs());
typename ProductType::RhsNestedX rhs(product.rhs());
Scalar* EIGEN_RESTRICT _lhs; Scalar* EIGEN_RESTRICT _lhs;
if (UseLhsDirectly) if (UseLhsDirectly)
_lhs = &product.lhs().const_cast_derived().coeffRef(0); _lhs = &lhs.const_cast_derived().coeffRef(0);
else else
{ {
_lhs = ei_aligned_stack_new(Scalar, product.lhs().size()); _lhs = ei_aligned_stack_new(Scalar, lhs.size());
Map<Matrix<Scalar,1,Lhs::SizeAtCompileTime,ColMajor> >(_lhs, product.lhs().size()) = product.lhs(); Map<Matrix<Scalar,1,Lhs::SizeAtCompileTime,ColMajor> >(_lhs, lhs.size()) = lhs;
} }
ei_cache_friendly_product_rowmajor_times_vector(&product.rhs().const_cast_derived().coeffRef(0,0), product.rhs().stride(), ei_cache_friendly_product_rowmajor_times_vector(&rhs.const_cast_derived().coeffRef(0,0), rhs.stride(),
_lhs, product.lhs().size(), res); _lhs, lhs.size(), res);
if(!UseLhsDirectly) ei_aligned_stack_delete(Scalar, _lhs, product.lhs().size()); if(!UseLhsDirectly) ei_aligned_stack_delete(Scalar, _lhs, lhs.size());
} }
}; };
@@ -735,7 +764,7 @@ inline Derived& MatrixBase<Derived>::lazyAssign(const Product<Lhs,Rhs,CacheFrien
{ {
typedef typename ei_cleantype<Lhs>::type _Lhs; typedef typename ei_cleantype<Lhs>::type _Lhs;
typedef typename ei_cleantype<Rhs>::type _Rhs; typedef typename ei_cleantype<Rhs>::type _Rhs;
typedef typename ei_nested<_Lhs,_Rhs::ColsAtCompileTime>::type LhsNested; typedef typename ei_nested<_Lhs,_Rhs::ColsAtCompileTime>::type LhsNested;
typedef typename ei_nested<_Rhs,_Lhs::RowsAtCompileTime>::type RhsNested; typedef typename ei_nested<_Rhs,_Lhs::RowsAtCompileTime>::type RhsNested;

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@@ -30,7 +30,7 @@
#define EIGEN_WORLD_VERSION 2 #define EIGEN_WORLD_VERSION 2
#define EIGEN_MAJOR_VERSION 0 #define EIGEN_MAJOR_VERSION 0
#define EIGEN_MINOR_VERSION 15 #define EIGEN_MINOR_VERSION 16
#define EIGEN_VERSION_AT_LEAST(x,y,z) (EIGEN_WORLD_VERSION>x || (EIGEN_WORLD_VERSION>=x && \ #define EIGEN_VERSION_AT_LEAST(x,y,z) (EIGEN_WORLD_VERSION>x || (EIGEN_WORLD_VERSION>=x && \
(EIGEN_MAJOR_VERSION>y || (EIGEN_MAJOR_VERSION>=y && \ (EIGEN_MAJOR_VERSION>y || (EIGEN_MAJOR_VERSION>=y && \

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@@ -120,7 +120,7 @@ template<int _Rows, int _Cols> struct ei_size_at_compile_time
* in order to avoid a useless copy * in order to avoid a useless copy
*/ */
template<typename T, int Sparseness = ei_traits<T>::Flags&SparseBit> class ei_eval; template<typename T, int Sparseness = ei_traits<T>::Flags&SparseBit> struct ei_eval;
template<typename T> struct ei_eval<T,IsDense> template<typename T> struct ei_eval<T,IsDense>
{ {

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@@ -54,10 +54,13 @@
* constants \f$a,b,c\f$ so that the plane of equation \f$y=ax+bz+c\f$ fits * constants \f$a,b,c\f$ so that the plane of equation \f$y=ax+bz+c\f$ fits
* best the five above points. To do that, call this function as follows: * best the five above points. To do that, call this function as follows:
* @code * @code
// create a vector of pointers to the points
std::vector<Vector3d> points_ptrs(5);
for(int k=0; k<5; ++k) points_ptrs[k] = &points[k];
Vector3d coeffs; // will store the coefficients a, b, c Vector3d coeffs; // will store the coefficients a, b, c
linearRegression( linearRegression(
5, 5,
&points, &(points_ptrs[0]),
&coeffs, &coeffs,
1 // the coord to express as a function of 1 // the coord to express as a function of
// the other ones. 0 means x, 1 means y, 2 means z. // the other ones. 0 means x, 1 means y, 2 means z.

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@@ -391,7 +391,7 @@ void Tridiagonalization<MatrixType>::_decomposeInPlace3x3(MatrixType& mat, Diago
{ {
diag[0] = ei_real(mat(0,0)); diag[0] = ei_real(mat(0,0));
RealScalar v1norm2 = ei_abs2(mat(0,2)); RealScalar v1norm2 = ei_abs2(mat(0,2));
if (ei_isMuchSmallerThan(v1norm2, RealScalar(1))) if (v1norm2==RealScalar(0))
{ {
diag[1] = ei_real(mat(1,1)); diag[1] = ei_real(mat(1,1));
diag[2] = ei_real(mat(2,2)); diag[2] = ei_real(mat(2,2));

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@@ -96,8 +96,8 @@ class SparseLU
void setOrderingMethod(int m) void setOrderingMethod(int m)
{ {
ei_assert(m&~OrderingMask == 0 && m!=0 && "invalid ordering method"); ei_assert((m&~OrderingMask) == 0 && m!=0 && "invalid ordering method");
m_flags = m_flags&~OrderingMask | m&OrderingMask; m_flags = (m_flags&~OrderingMask) | (m&OrderingMask);
} }
int orderingMethod() const int orderingMethod() const

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@@ -121,11 +121,40 @@ template<typename MatrixType> void triangular(const MatrixType& m)
m3.setZero(); m3.setZero();
m3.template part<Eigen::UpperTriangular>().setOnes(); m3.template part<Eigen::UpperTriangular>().setOnes();
VERIFY_IS_APPROX(m2,m3); VERIFY_IS_APPROX(m2,m3);
}
void selfadjoint()
{
Matrix2i m;
m << 1, 2,
3, 4;
VERIFY(m.part<SelfAdjoint>() == m);
Matrix2i m1 = Matrix2i::Zero();
m1.part<SelfAdjoint>() = m;
Matrix2i ref1;
ref1 << 1, 2,
2, 4;
VERIFY(m1 == ref1);
Matrix2i m2 = Matrix2i::Zero();
m2.part<SelfAdjoint>() = m.part<UpperTriangular>();
Matrix2i ref2;
ref2 << 1, 2,
2, 4;
VERIFY(m2 == ref2);
Matrix2i m3 = Matrix2i::Zero();
m3.part<SelfAdjoint>() = m.part<LowerTriangular>();
Matrix2i ref3;
ref3 << 1, 0,
0, 4;
VERIFY(m3 == ref3);
} }
void test_triangular() void test_triangular()
{ {
CALL_SUBTEST( selfadjoint() );
for(int i = 0; i < g_repeat ; i++) { for(int i = 0; i < g_repeat ; i++) {
CALL_SUBTEST( triangular(Matrix<float, 1, 1>()) ); CALL_SUBTEST( triangular(Matrix<float, 1, 1>()) );
CALL_SUBTEST( triangular(Matrix<float, 2, 2>()) ); CALL_SUBTEST( triangular(Matrix<float, 2, 2>()) );