Dox in MatrixFunctions

unsupported/Eigen/MatrixFunctions

@@ -216,6 +216,63 @@ Output: \verbinclude MatrixLogarithm.out
     class MatrixLogarithmAtomic, MatrixBase::sqrt().
 
 
+\section matrixbase_pow MatrixBase::pow()
+
+Compute the matrix raised to arbitrary real power.
+
+\code
+template <typename ExponentType>
+const MatrixPowerReturnValue<Derived, ExponentType> MatrixBase<Derived>::pow(const ExponentType& p) const
+\endcode
+
+\param[in]  M  base of the matrix power, should be a square matrix.
+\param[in]  p  exponent of the matrix power, should be an integer or
+the same type as the real scalar in \p M.
+
+The matrix power \f$ M^p \f$ is defined as \f$ \exp(p \log(M)) \f$,
+where exp denotes the matrix exponential, and log denotes the matrix
+logarithm.
+
+The matrix \f$ M \f$ should meet the conditions to be an argument of
+matrix logarithm.
+
+This function computes the matrix logarithm using the
+Schur-Pad&eacute; algorithm as implemented by MatrixBase::pow().
+The exponent is split into integral part and fractional part, where
+the fractional part is in the interval \f$ (-1, 1) \f$. The main
+diagonal and the first super-diagonal is directly computed.
+
+The actual work is done by the MatrixPower class, which can compute
+\f$ M^p v \f$, where \p v is another matrix with the same rows as
+\p M. The matrix \p v is set to be the identity matrix by default.
+
+Details of the algorithm can be found in: Nicholas J. Higham and
+Lijing Lin, "A Schur-Pad&eacute; algorithm for fractional powers of a
+matrix," <em>SIAM J. %Matrix Anal. Applic.</em>,
+<b>32(3)</b>:1056&ndash;1078, 2011.
+
+Example: The following program checks that
+\f[ \left[ \begin{array}{ccc}
+      \cos1 & -\sin1 & 0 \\
+      \sin1 & \cos1 & 0 \\
+      0 & 0 & 1
+    \end{array} \right]^{\frac14\pi} = \left[ \begin{array}{ccc}
+      \frac12\sqrt2 & -\frac12\sqrt2 & 0 \\
+      \frac12\sqrt2 & \frac12\sqrt2 & 0 \\
+      0 & 0 & 1
+    \end{array} \right]. \f]
+This corresponds to \f$ \frac14\pi \f$ rotations of 1 radian around
+the z-axis.
+
+\include MatrixPower.cpp
+Output: \verbinclude MatrixPower.out
+
+\note \p M has to be a matrix of \c float, \c double, \c long double
+\c complex<float>, \c complex<double>, or \c complex<long double> .
+
+\sa MatrixBase::exp(), MatrixBase::log(), class MatrixPower.
+
+
 \section matrixbase_matrixfunction MatrixBase::matrixFunction()
 
 Compute a matrix function.

unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h

@@ -217,7 +217,7 @@ int MatrixLogarithmAtomic<MatrixType>::getPadeDegree(long double normTminusI)
             3.6688019729653446926585242192447447e-2L, 5.9290962294020186998954055264528393e-2L,
             8.6998436081634343903250580992127677e-2L, 1.1880960220216759245467951592883642e-1L };
 #endif
-  int degree = 3
+  int degree = 3;
   for (; degree <= maxPadeDegree; ++degree)
     if (normTminusI <= maxNormForPade[degree - minPadeDegree])
       break;

unsupported/Eigen/src/MatrixFunctions/MatrixPower.h

@@ -71,8 +71,8 @@ class MatrixPower
     /**
      * \brief Compute the matrix power.
      *
-     * If \c b is \em fatter than \c A, it computes \f$ A^{p_{\textrm int}}
-     * \f$ first, and then multiplies it with \c b. Otherwise,
+     * If \p b is \em fatter than \p A, it computes \f$ A^{p_{\textrm int}}
+     * \f$ first, and then multiplies it with \p b. Otherwise,
      * #computeChainProduct optimizes the expression.
      *
      * \sa computeChainProduct(ResultType&);
@@ -124,13 +124,13 @@ class MatrixPower
      */
     void computeBig();
 
-    /** \brief Get suitable degree for Pade approximation. (specialized for \c RealScalar = \c double) */
+    /** \brief Get suitable degree for Pade approximation. (specialized for RealScalar = double) */
     inline int getPadeDegree(double);
 
-    /** \brief Get suitable degree for Pade approximation. (specialized for \c RealScalar = \c float) */
+    /** \brief Get suitable degree for Pade approximation. (specialized for RealScalar = float) */
     inline int getPadeDegree(float);
   
-    /** \brief Get suitable degree for Pade approximation. (specialized for \c RealScalar = \c long double) */
+    /** \brief Get suitable degree for Pade approximation. (specialized for RealScalar = long double) */
     inline int getPadeDegree(long double);
 
     /** \brief Compute Padé approximation to matrix fractional power. */
@@ -196,8 +196,8 @@ class MatrixPower<MatrixType, IntExponent, PlainObject, 1>
     /**
      * \brief Compute the matrix power.
      *
-     * If \c b is \em fatter than \c A, it computes \f$ A^p \f$ first, and
-     * then multiplies it with \c b. Otherwise, #computeChainProduct
+     * If \p b is \em fatter than \p A, it computes \f$ A^p \f$ first, and
+     * then multiplies it with \p b. Otherwise, #computeChainProduct
      * optimizes the expression.
      *
      * \param[out] result  \f$ A^p b \f$, as specified in the constructor.
@@ -646,7 +646,7 @@ template<typename MatrixType, typename ExponentType, typename Derived> class Mat
     /**
      * \brief Compute the matrix exponential.
      *
-     * \param[out] result  \f$ A^p b \f$ where \c A ,\c p and \c b are as in
+     * \param[out] result  \f$ A^p b \f$ where \p A ,\p p and \p b are as in
      * the constructor.
      */
     template <typename ResultType>
@@ -700,12 +700,12 @@ template<typename Derived, typename ExponentType> class MatrixPowerReturnValue
     : m_A(A), m_p(p) { }
 
     /**
-     * \brief Return the matrix power multiplied by %Matrix \c b.
+     * \brief Return the matrix power multiplied by %Matrix \p b.
      *
      * The %MatrixPower class can optimize \f$ A^p b \f$ computing, and this
      * method provides an elegant way to call it:
      *
-     * \param[in] b  %Matrix (exporession), the multiplier.
+     * \param[in] b  %Matrix (expression), the multiplier.
      */
     template <typename OtherDerived>
     const MatrixPowerMultiplied<Derived, ExponentType, OtherDerived> operator*(const MatrixBase<OtherDerived>& b) const
@@ -714,7 +714,7 @@ template<typename Derived, typename ExponentType> class MatrixPowerReturnValue
     /**
      * \brief Compute the matrix power.
      *
-     * \param[out] result  \f$ A^p \f$ where \c A and \c p are as in the
+     * \param[out] result  \f$ A^p \f$ where \p A and \p p are as in the
      * constructor.
      */
     template <typename ResultType>

unsupported/doc/examples/MatrixPower.cpp

@@ -0,0 +1,16 @@
+#include <unsupported/Eigen/MatrixFunctions>
+#include <iostream>
+
+using namespace Eigen;
+
+int main()
+{
+  const double pi = std::acos(-1.0);
+  Matrix3d A;
+  A << cos(1), -sin(1), 0,
+       sin(1),  cos(1), 0,
+	   0 ,      0 , 1;
+  std::cout << "The matrix A is:\n" << A << "\n\n"
+	    << "The matrix power A^(pi/4) is:\n" << A.pow(pi/4) << std::endl;
+  return 0;
+}