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00010 #ifndef EIGEN_AUTODIFF_SCALAR_H
00011 #define EIGEN_AUTODIFF_SCALAR_H
00012
00013 namespace Eigen {
00014
00015 namespace internal {
00016
00017 template<typename A, typename B>
00018 struct make_coherent_impl {
00019 static void run(A&, B&) {}
00020 };
00021
00022
00023 template<typename A, typename B>
00024 void make_coherent(const A& a, const B&b)
00025 {
00026 make_coherent_impl<A,B>::run(a.const_cast_derived(), b.const_cast_derived());
00027 }
00028
00029 template<typename _DerType, bool Enable> struct auto_diff_special_op;
00030
00031 }
00032
00059 template<typename _DerType>
00060 class AutoDiffScalar
00061 : public internal::auto_diff_special_op
00062 <_DerType, !internal::is_same<typename internal::traits<typename internal::remove_all<_DerType>::type>::Scalar,
00063 typename NumTraits<typename internal::traits<typename internal::remove_all<_DerType>::type>::Scalar>::Real>::value>
00064 {
00065 public:
00066 typedef internal::auto_diff_special_op
00067 <_DerType, !internal::is_same<typename internal::traits<typename internal::remove_all<_DerType>::type>::Scalar,
00068 typename NumTraits<typename internal::traits<typename internal::remove_all<_DerType>::type>::Scalar>::Real>::value> Base;
00069 typedef typename internal::remove_all<_DerType>::type DerType;
00070 typedef typename internal::traits<DerType>::Scalar Scalar;
00071 typedef typename NumTraits<Scalar>::Real Real;
00072
00073 using Base::operator+;
00074 using Base::operator*;
00075
00077 AutoDiffScalar() {}
00078
00081 AutoDiffScalar(const Scalar& value, int nbDer, int derNumber)
00082 : m_value(value), m_derivatives(DerType::Zero(nbDer))
00083 {
00084 m_derivatives.coeffRef(derNumber) = Scalar(1);
00085 }
00086
00089 AutoDiffScalar(const Real& value)
00090 : m_value(value)
00091 {
00092 if(m_derivatives.size()>0)
00093 m_derivatives.setZero();
00094 }
00095
00097 AutoDiffScalar(const Scalar& value, const DerType& der)
00098 : m_value(value), m_derivatives(der)
00099 {}
00100
00101 template<typename OtherDerType>
00102 AutoDiffScalar(const AutoDiffScalar<OtherDerType>& other)
00103 : m_value(other.value()), m_derivatives(other.derivatives())
00104 {}
00105
00106 friend std::ostream & operator << (std::ostream & s, const AutoDiffScalar& a)
00107 {
00108 return s << a.value();
00109 }
00110
00111 AutoDiffScalar(const AutoDiffScalar& other)
00112 : m_value(other.value()), m_derivatives(other.derivatives())
00113 {}
00114
00115 template<typename OtherDerType>
00116 inline AutoDiffScalar& operator=(const AutoDiffScalar<OtherDerType>& other)
00117 {
00118 m_value = other.value();
00119 m_derivatives = other.derivatives();
00120 return *this;
00121 }
00122
00123 inline AutoDiffScalar& operator=(const AutoDiffScalar& other)
00124 {
00125 m_value = other.value();
00126 m_derivatives = other.derivatives();
00127 return *this;
00128 }
00129
00130
00131
00132
00133 inline const Scalar& value() const { return m_value; }
00134 inline Scalar& value() { return m_value; }
00135
00136 inline const DerType& derivatives() const { return m_derivatives; }
00137 inline DerType& derivatives() { return m_derivatives; }
00138
00139 inline bool operator< (const Scalar& other) const { return m_value < other; }
00140 inline bool operator<=(const Scalar& other) const { return m_value <= other; }
00141 inline bool operator> (const Scalar& other) const { return m_value > other; }
00142 inline bool operator>=(const Scalar& other) const { return m_value >= other; }
00143 inline bool operator==(const Scalar& other) const { return m_value == other; }
00144 inline bool operator!=(const Scalar& other) const { return m_value != other; }
00145
00146 friend inline bool operator< (const Scalar& a, const AutoDiffScalar& b) { return a < b.value(); }
00147 friend inline bool operator<=(const Scalar& a, const AutoDiffScalar& b) { return a <= b.value(); }
00148 friend inline bool operator> (const Scalar& a, const AutoDiffScalar& b) { return a > b.value(); }
00149 friend inline bool operator>=(const Scalar& a, const AutoDiffScalar& b) { return a >= b.value(); }
00150 friend inline bool operator==(const Scalar& a, const AutoDiffScalar& b) { return a == b.value(); }
00151 friend inline bool operator!=(const Scalar& a, const AutoDiffScalar& b) { return a != b.value(); }
00152
00153 template<typename OtherDerType> inline bool operator< (const AutoDiffScalar<OtherDerType>& b) const { return m_value < b.value(); }
00154 template<typename OtherDerType> inline bool operator<=(const AutoDiffScalar<OtherDerType>& b) const { return m_value <= b.value(); }
00155 template<typename OtherDerType> inline bool operator> (const AutoDiffScalar<OtherDerType>& b) const { return m_value > b.value(); }
00156 template<typename OtherDerType> inline bool operator>=(const AutoDiffScalar<OtherDerType>& b) const { return m_value >= b.value(); }
00157 template<typename OtherDerType> inline bool operator==(const AutoDiffScalar<OtherDerType>& b) const { return m_value == b.value(); }
00158 template<typename OtherDerType> inline bool operator!=(const AutoDiffScalar<OtherDerType>& b) const { return m_value != b.value(); }
00159
00160 inline const AutoDiffScalar<DerType&> operator+(const Scalar& other) const
00161 {
00162 return AutoDiffScalar<DerType&>(m_value + other, m_derivatives);
00163 }
00164
00165 friend inline const AutoDiffScalar<DerType&> operator+(const Scalar& a, const AutoDiffScalar& b)
00166 {
00167 return AutoDiffScalar<DerType&>(a + b.value(), b.derivatives());
00168 }
00169
00170
00171
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00175
00176
00177
00178
00179
00180 inline AutoDiffScalar& operator+=(const Scalar& other)
00181 {
00182 value() += other;
00183 return *this;
00184 }
00185
00186 template<typename OtherDerType>
00187 inline const AutoDiffScalar<CwiseBinaryOp<internal::scalar_sum_op<Scalar>,const DerType,const typename internal::remove_all<OtherDerType>::type> >
00188 operator+(const AutoDiffScalar<OtherDerType>& other) const
00189 {
00190 internal::make_coherent(m_derivatives, other.derivatives());
00191 return AutoDiffScalar<CwiseBinaryOp<internal::scalar_sum_op<Scalar>,const DerType,const typename internal::remove_all<OtherDerType>::type> >(
00192 m_value + other.value(),
00193 m_derivatives + other.derivatives());
00194 }
00195
00196 template<typename OtherDerType>
00197 inline AutoDiffScalar&
00198 operator+=(const AutoDiffScalar<OtherDerType>& other)
00199 {
00200 (*this) = (*this) + other;
00201 return *this;
00202 }
00203
00204 inline const AutoDiffScalar<DerType&> operator-(const Scalar& b) const
00205 {
00206 return AutoDiffScalar<DerType&>(m_value - b, m_derivatives);
00207 }
00208
00209 friend inline const AutoDiffScalar<CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const DerType> >
00210 operator-(const Scalar& a, const AutoDiffScalar& b)
00211 {
00212 return AutoDiffScalar<CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const DerType> >
00213 (a - b.value(), -b.derivatives());
00214 }
00215
00216 inline AutoDiffScalar& operator-=(const Scalar& other)
00217 {
00218 value() -= other;
00219 return *this;
00220 }
00221
00222 template<typename OtherDerType>
00223 inline const AutoDiffScalar<CwiseBinaryOp<internal::scalar_difference_op<Scalar>, const DerType,const typename internal::remove_all<OtherDerType>::type> >
00224 operator-(const AutoDiffScalar<OtherDerType>& other) const
00225 {
00226 internal::make_coherent(m_derivatives, other.derivatives());
00227 return AutoDiffScalar<CwiseBinaryOp<internal::scalar_difference_op<Scalar>, const DerType,const typename internal::remove_all<OtherDerType>::type> >(
00228 m_value - other.value(),
00229 m_derivatives - other.derivatives());
00230 }
00231
00232 template<typename OtherDerType>
00233 inline AutoDiffScalar&
00234 operator-=(const AutoDiffScalar<OtherDerType>& other)
00235 {
00236 *this = *this - other;
00237 return *this;
00238 }
00239
00240 inline const AutoDiffScalar<CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const DerType> >
00241 operator-() const
00242 {
00243 return AutoDiffScalar<CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const DerType> >(
00244 -m_value,
00245 -m_derivatives);
00246 }
00247
00248 inline const AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >
00249 operator*(const Scalar& other) const
00250 {
00251 return AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >(
00252 m_value * other,
00253 (m_derivatives * other));
00254 }
00255
00256 friend inline const AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >
00257 operator*(const Scalar& other, const AutoDiffScalar& a)
00258 {
00259 return AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >(
00260 a.value() * other,
00261 a.derivatives() * other);
00262 }
00263
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00279
00280 inline const AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >
00281 operator/(const Scalar& other) const
00282 {
00283 return AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >(
00284 m_value / other,
00285 (m_derivatives * (Scalar(1)/other)));
00286 }
00287
00288 friend inline const AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >
00289 operator/(const Scalar& other, const AutoDiffScalar& a)
00290 {
00291 return AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType> >(
00292 other / a.value(),
00293 a.derivatives() * (Scalar(-other) / (a.value()*a.value())));
00294 }
00295
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00298
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00303
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00310
00311
00312 template<typename OtherDerType>
00313 inline const AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>,
00314 const CwiseBinaryOp<internal::scalar_difference_op<Scalar>,
00315 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType>,
00316 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const typename internal::remove_all<OtherDerType>::type > > > >
00317 operator/(const AutoDiffScalar<OtherDerType>& other) const
00318 {
00319 internal::make_coherent(m_derivatives, other.derivatives());
00320 return AutoDiffScalar<CwiseUnaryOp<internal::scalar_multiple_op<Scalar>,
00321 const CwiseBinaryOp<internal::scalar_difference_op<Scalar>,
00322 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType>,
00323 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const typename internal::remove_all<OtherDerType>::type > > > >(
00324 m_value / other.value(),
00325 ((m_derivatives * other.value()) - (m_value * other.derivatives()))
00326 * (Scalar(1)/(other.value()*other.value())));
00327 }
00328
00329 template<typename OtherDerType>
00330 inline const AutoDiffScalar<CwiseBinaryOp<internal::scalar_sum_op<Scalar>,
00331 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType>,
00332 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const typename internal::remove_all<OtherDerType>::type> > >
00333 operator*(const AutoDiffScalar<OtherDerType>& other) const
00334 {
00335 internal::make_coherent(m_derivatives, other.derivatives());
00336 return AutoDiffScalar<const CwiseBinaryOp<internal::scalar_sum_op<Scalar>,
00337 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const DerType>,
00338 const CwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const typename internal::remove_all<OtherDerType>::type > > >(
00339 m_value * other.value(),
00340 (m_derivatives * other.value()) + (m_value * other.derivatives()));
00341 }
00342
00343 inline AutoDiffScalar& operator*=(const Scalar& other)
00344 {
00345 *this = *this * other;
00346 return *this;
00347 }
00348
00349 template<typename OtherDerType>
00350 inline AutoDiffScalar& operator*=(const AutoDiffScalar<OtherDerType>& other)
00351 {
00352 *this = *this * other;
00353 return *this;
00354 }
00355
00356 inline AutoDiffScalar& operator/=(const Scalar& other)
00357 {
00358 *this = *this / other;
00359 return *this;
00360 }
00361
00362 template<typename OtherDerType>
00363 inline AutoDiffScalar& operator/=(const AutoDiffScalar<OtherDerType>& other)
00364 {
00365 *this = *this / other;
00366 return *this;
00367 }
00368
00369 protected:
00370 Scalar m_value;
00371 DerType m_derivatives;
00372
00373 };
00374
00375 namespace internal {
00376
00377 template<typename _DerType>
00378 struct auto_diff_special_op<_DerType, true>
00379
00380
00381 {
00382 typedef typename remove_all<_DerType>::type DerType;
00383 typedef typename traits<DerType>::Scalar Scalar;
00384 typedef typename NumTraits<Scalar>::Real Real;
00385
00386
00387
00388
00389
00390
00391
00392
00393
00394
00395
00396 const AutoDiffScalar<_DerType>& derived() const { return *static_cast<const AutoDiffScalar<_DerType>*>(this); }
00397 AutoDiffScalar<_DerType>& derived() { return *static_cast<AutoDiffScalar<_DerType>*>(this); }
00398
00399
00400 inline const AutoDiffScalar<DerType&> operator+(const Real& other) const
00401 {
00402 return AutoDiffScalar<DerType&>(derived().value() + other, derived().derivatives());
00403 }
00404
00405 friend inline const AutoDiffScalar<DerType&> operator+(const Real& a, const AutoDiffScalar<_DerType>& b)
00406 {
00407 return AutoDiffScalar<DerType&>(a + b.value(), b.derivatives());
00408 }
00409
00410 inline AutoDiffScalar<_DerType>& operator+=(const Real& other)
00411 {
00412 derived().value() += other;
00413 return derived();
00414 }
00415
00416
00417 inline const AutoDiffScalar<typename CwiseUnaryOp<scalar_multiple2_op<Scalar,Real>, DerType>::Type >
00418 operator*(const Real& other) const
00419 {
00420 return AutoDiffScalar<typename CwiseUnaryOp<scalar_multiple2_op<Scalar,Real>, DerType>::Type >(
00421 derived().value() * other,
00422 derived().derivatives() * other);
00423 }
00424
00425 friend inline const AutoDiffScalar<typename CwiseUnaryOp<scalar_multiple2_op<Scalar,Real>, DerType>::Type >
00426 operator*(const Real& other, const AutoDiffScalar<_DerType>& a)
00427 {
00428 return AutoDiffScalar<typename CwiseUnaryOp<scalar_multiple2_op<Scalar,Real>, DerType>::Type >(
00429 a.value() * other,
00430 a.derivatives() * other);
00431 }
00432
00433 inline AutoDiffScalar<_DerType>& operator*=(const Scalar& other)
00434 {
00435 *this = *this * other;
00436 return derived();
00437 }
00438 };
00439
00440 template<typename _DerType>
00441 struct auto_diff_special_op<_DerType, false>
00442 {
00443 void operator*() const;
00444 void operator-() const;
00445 void operator+() const;
00446 };
00447
00448 template<typename A_Scalar, int A_Rows, int A_Cols, int A_Options, int A_MaxRows, int A_MaxCols, typename B>
00449 struct make_coherent_impl<Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols>, B> {
00450 typedef Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols> A;
00451 static void run(A& a, B& b) {
00452 if((A_Rows==Dynamic || A_Cols==Dynamic) && (a.size()==0))
00453 {
00454 a.resize(b.size());
00455 a.setZero();
00456 }
00457 }
00458 };
00459
00460 template<typename A, typename B_Scalar, int B_Rows, int B_Cols, int B_Options, int B_MaxRows, int B_MaxCols>
00461 struct make_coherent_impl<A, Matrix<B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols> > {
00462 typedef Matrix<B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols> B;
00463 static void run(A& a, B& b) {
00464 if((B_Rows==Dynamic || B_Cols==Dynamic) && (b.size()==0))
00465 {
00466 b.resize(a.size());
00467 b.setZero();
00468 }
00469 }
00470 };
00471
00472 template<typename A_Scalar, int A_Rows, int A_Cols, int A_Options, int A_MaxRows, int A_MaxCols,
00473 typename B_Scalar, int B_Rows, int B_Cols, int B_Options, int B_MaxRows, int B_MaxCols>
00474 struct make_coherent_impl<Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols>,
00475 Matrix<B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols> > {
00476 typedef Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols> A;
00477 typedef Matrix<B_Scalar, B_Rows, B_Cols, B_Options, B_MaxRows, B_MaxCols> B;
00478 static void run(A& a, B& b) {
00479 if((A_Rows==Dynamic || A_Cols==Dynamic) && (a.size()==0))
00480 {
00481 a.resize(b.size());
00482 a.setZero();
00483 }
00484 else if((B_Rows==Dynamic || B_Cols==Dynamic) && (b.size()==0))
00485 {
00486 b.resize(a.size());
00487 b.setZero();
00488 }
00489 }
00490 };
00491
00492 template<typename A_Scalar, int A_Rows, int A_Cols, int A_Options, int A_MaxRows, int A_MaxCols>
00493 struct scalar_product_traits<Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols>,A_Scalar>
00494 {
00495 enum { Defined = 1 };
00496 typedef Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols> ReturnType;
00497 };
00498
00499 template<typename A_Scalar, int A_Rows, int A_Cols, int A_Options, int A_MaxRows, int A_MaxCols>
00500 struct scalar_product_traits<A_Scalar, Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols> >
00501 {
00502 enum { Defined = 1 };
00503 typedef Matrix<A_Scalar, A_Rows, A_Cols, A_Options, A_MaxRows, A_MaxCols> ReturnType;
00504 };
00505
00506 template<typename DerType>
00507 struct scalar_product_traits<AutoDiffScalar<DerType>,typename DerType::Scalar>
00508 {
00509 enum { Defined = 1 };
00510 typedef AutoDiffScalar<DerType> ReturnType;
00511 };
00512
00513 template<typename DerType>
00514 struct scalar_product_traits<typename DerType::Scalar,AutoDiffScalar<DerType> >
00515 {
00516 enum { Defined = 1 };
00517 typedef AutoDiffScalar<DerType> ReturnType;
00518 };
00519
00520 }
00521
00522 #define EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(FUNC,CODE) \
00523 template<typename DerType> \
00524 inline const Eigen::AutoDiffScalar<Eigen::CwiseUnaryOp<Eigen::internal::scalar_multiple_op<typename Eigen::internal::traits<typename Eigen::internal::remove_all<DerType>::type>::Scalar>, const typename Eigen::internal::remove_all<DerType>::type> > \
00525 FUNC(const Eigen::AutoDiffScalar<DerType>& x) { \
00526 using namespace Eigen; \
00527 typedef typename Eigen::internal::traits<typename Eigen::internal::remove_all<DerType>::type>::Scalar Scalar; \
00528 typedef AutoDiffScalar<CwiseUnaryOp<Eigen::internal::scalar_multiple_op<Scalar>, const typename Eigen::internal::remove_all<DerType>::type> > ReturnType; \
00529 CODE; \
00530 }
00531
00532 template<typename DerType>
00533 inline const AutoDiffScalar<DerType>& conj(const AutoDiffScalar<DerType>& x) { return x; }
00534 template<typename DerType>
00535 inline const AutoDiffScalar<DerType>& real(const AutoDiffScalar<DerType>& x) { return x; }
00536 template<typename DerType>
00537 inline typename DerType::Scalar imag(const AutoDiffScalar<DerType>&) { return 0.; }
00538 template<typename DerType, typename T>
00539 inline AutoDiffScalar<DerType> (min)(const AutoDiffScalar<DerType>& x, const T& y) { return (x <= y ? x : y); }
00540 template<typename DerType, typename T>
00541 inline AutoDiffScalar<DerType> (max)(const AutoDiffScalar<DerType>& x, const T& y) { return (x >= y ? x : y); }
00542 template<typename DerType, typename T>
00543 inline AutoDiffScalar<DerType> (min)(const T& x, const AutoDiffScalar<DerType>& y) { return (x < y ? x : y); }
00544 template<typename DerType, typename T>
00545 inline AutoDiffScalar<DerType> (max)(const T& x, const AutoDiffScalar<DerType>& y) { return (x > y ? x : y); }
00546
00547 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(abs,
00548 using std::abs;
00549 return ReturnType(abs(x.value()), x.derivatives() * (x.value()<0 ? -1 : 1) );)
00550
00551 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(abs2,
00552 using numext::abs2;
00553 return ReturnType(abs2(x.value()), x.derivatives() * (Scalar(2)*x.value()));)
00554
00555 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(sqrt,
00556 using std::sqrt;
00557 Scalar sqrtx = sqrt(x.value());
00558 return ReturnType(sqrtx,x.derivatives() * (Scalar(0.5) / sqrtx));)
00559
00560 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(cos,
00561 using std::cos;
00562 using std::sin;
00563 return ReturnType(cos(x.value()), x.derivatives() * (-sin(x.value())));)
00564
00565 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(sin,
00566 using std::sin;
00567 using std::cos;
00568 return ReturnType(sin(x.value()),x.derivatives() * cos(x.value()));)
00569
00570 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(exp,
00571 using std::exp;
00572 Scalar expx = exp(x.value());
00573 return ReturnType(expx,x.derivatives() * expx);)
00574
00575 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(log,
00576 using std::log;
00577 return ReturnType(log(x.value()),x.derivatives() * (Scalar(1)/x.value()));)
00578
00579 template<typename DerType>
00580 inline const Eigen::AutoDiffScalar<Eigen::CwiseUnaryOp<Eigen::internal::scalar_multiple_op<typename Eigen::internal::traits<DerType>::Scalar>, const DerType> >
00581 pow(const Eigen::AutoDiffScalar<DerType>& x, typename Eigen::internal::traits<DerType>::Scalar y)
00582 {
00583 using namespace Eigen;
00584 typedef typename Eigen::internal::traits<DerType>::Scalar Scalar;
00585 return AutoDiffScalar<CwiseUnaryOp<Eigen::internal::scalar_multiple_op<Scalar>, const DerType> >(
00586 std::pow(x.value(),y),
00587 x.derivatives() * (y * std::pow(x.value(),y-1)));
00588 }
00589
00590
00591 template<typename DerTypeA,typename DerTypeB>
00592 inline const AutoDiffScalar<Matrix<typename internal::traits<DerTypeA>::Scalar,Dynamic,1> >
00593 atan2(const AutoDiffScalar<DerTypeA>& a, const AutoDiffScalar<DerTypeB>& b)
00594 {
00595 using std::atan2;
00596 using std::max;
00597 typedef typename internal::traits<DerTypeA>::Scalar Scalar;
00598 typedef AutoDiffScalar<Matrix<Scalar,Dynamic,1> > PlainADS;
00599 PlainADS ret;
00600 ret.value() = atan2(a.value(), b.value());
00601
00602 Scalar tmp2 = a.value() * a.value();
00603 Scalar tmp3 = b.value() * b.value();
00604 Scalar tmp4 = tmp3/(tmp2+tmp3);
00605
00606 if (tmp4!=0)
00607 ret.derivatives() = (a.derivatives() * b.value() - a.value() * b.derivatives()) * (tmp2+tmp3);
00608
00609 return ret;
00610 }
00611
00612 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(tan,
00613 using std::tan;
00614 using std::cos;
00615 return ReturnType(tan(x.value()),x.derivatives() * (Scalar(1)/numext::abs2(cos(x.value()))));)
00616
00617 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(asin,
00618 using std::sqrt;
00619 using std::asin;
00620 return ReturnType(asin(x.value()),x.derivatives() * (Scalar(1)/sqrt(1-numext::abs2(x.value()))));)
00621
00622 EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY(acos,
00623 using std::sqrt;
00624 using std::acos;
00625 return ReturnType(acos(x.value()),x.derivatives() * (Scalar(-1)/sqrt(1-numext::abs2(x.value()))));)
00626
00627 #undef EIGEN_AUTODIFF_DECLARE_GLOBAL_UNARY
00628
00629 template<typename DerType> struct NumTraits<AutoDiffScalar<DerType> >
00630 : NumTraits< typename NumTraits<typename DerType::Scalar>::Real >
00631 {
00632 typedef AutoDiffScalar<Matrix<typename NumTraits<typename DerType::Scalar>::Real,DerType::RowsAtCompileTime,DerType::ColsAtCompileTime> > Real;
00633 typedef AutoDiffScalar<DerType> NonInteger;
00634 typedef AutoDiffScalar<DerType>& Nested;
00635 enum{
00636 RequireInitialization = 1
00637 };
00638 };
00639
00640 }
00641
00642 #endif // EIGEN_AUTODIFF_SCALAR_H