diff options
Diffstat (limited to 'eigen/unsupported/Eigen/src/Polynomials/Companion.h')
| -rw-r--r-- | eigen/unsupported/Eigen/src/Polynomials/Companion.h | 50 |
1 files changed, 25 insertions, 25 deletions
diff --git a/eigen/unsupported/Eigen/src/Polynomials/Companion.h b/eigen/unsupported/Eigen/src/Polynomials/Companion.h index b515c29..e0af6eb 100644 --- a/eigen/unsupported/Eigen/src/Polynomials/Companion.h +++ b/eigen/unsupported/Eigen/src/Polynomials/Companion.h @@ -75,7 +75,7 @@ class companion void setPolynomial( const VectorType& poly ) { const Index deg = poly.size()-1; - m_monic = -1/poly[deg] * poly.head(deg); + m_monic = Scalar(-1)/poly[deg] * poly.head(deg); //m_bl_diag.setIdentity( deg-1 ); m_bl_diag.setOnes(deg-1); } @@ -107,8 +107,8 @@ class companion * colB and rowB are repectively the multipliers for * the column and the row in order to balance them. * */ - bool balanced( Scalar colNorm, Scalar rowNorm, - bool& isBalanced, Scalar& colB, Scalar& rowB ); + bool balanced( RealScalar colNorm, RealScalar rowNorm, + bool& isBalanced, RealScalar& colB, RealScalar& rowB ); /** Helper function for the balancing algorithm. * \returns true if the row and the column, having colNorm and rowNorm @@ -116,8 +116,8 @@ class companion * colB and rowB are repectively the multipliers for * the column and the row in order to balance them. * */ - bool balancedR( Scalar colNorm, Scalar rowNorm, - bool& isBalanced, Scalar& colB, Scalar& rowB ); + bool balancedR( RealScalar colNorm, RealScalar rowNorm, + bool& isBalanced, RealScalar& colB, RealScalar& rowB ); public: /** @@ -139,10 +139,10 @@ class companion template< typename _Scalar, int _Deg > inline -bool companion<_Scalar,_Deg>::balanced( Scalar colNorm, Scalar rowNorm, - bool& isBalanced, Scalar& colB, Scalar& rowB ) +bool companion<_Scalar,_Deg>::balanced( RealScalar colNorm, RealScalar rowNorm, + bool& isBalanced, RealScalar& colB, RealScalar& rowB ) { - if( Scalar(0) == colNorm || Scalar(0) == rowNorm ){ return true; } + if( RealScalar(0) == colNorm || RealScalar(0) == rowNorm ){ return true; } else { //To find the balancing coefficients, if the radix is 2, @@ -150,29 +150,29 @@ bool companion<_Scalar,_Deg>::balanced( Scalar colNorm, Scalar rowNorm, // \f$ 2^{2\sigma-1} < rowNorm / colNorm \le 2^{2\sigma+1} \f$ // then the balancing coefficient for the row is \f$ 1/2^{\sigma} \f$ // and the balancing coefficient for the column is \f$ 2^{\sigma} \f$ - rowB = rowNorm / radix<Scalar>(); - colB = Scalar(1); - const Scalar s = colNorm + rowNorm; + rowB = rowNorm / radix<RealScalar>(); + colB = RealScalar(1); + const RealScalar s = colNorm + rowNorm; while (colNorm < rowB) { - colB *= radix<Scalar>(); - colNorm *= radix2<Scalar>(); + colB *= radix<RealScalar>(); + colNorm *= radix2<RealScalar>(); } - rowB = rowNorm * radix<Scalar>(); + rowB = rowNorm * radix<RealScalar>(); while (colNorm >= rowB) { - colB /= radix<Scalar>(); - colNorm /= radix2<Scalar>(); + colB /= radix<RealScalar>(); + colNorm /= radix2<RealScalar>(); } //This line is used to avoid insubstantial balancing - if ((rowNorm + colNorm) < Scalar(0.95) * s * colB) + if ((rowNorm + colNorm) < RealScalar(0.95) * s * colB) { isBalanced = false; - rowB = Scalar(1) / colB; + rowB = RealScalar(1) / colB; return false; } else{ @@ -182,21 +182,21 @@ bool companion<_Scalar,_Deg>::balanced( Scalar colNorm, Scalar rowNorm, template< typename _Scalar, int _Deg > inline -bool companion<_Scalar,_Deg>::balancedR( Scalar colNorm, Scalar rowNorm, - bool& isBalanced, Scalar& colB, Scalar& rowB ) +bool companion<_Scalar,_Deg>::balancedR( RealScalar colNorm, RealScalar rowNorm, + bool& isBalanced, RealScalar& colB, RealScalar& rowB ) { - if( Scalar(0) == colNorm || Scalar(0) == rowNorm ){ return true; } + if( RealScalar(0) == colNorm || RealScalar(0) == rowNorm ){ return true; } else { /** * Set the norm of the column and the row to the geometric mean * of the row and column norm */ - const _Scalar q = colNorm/rowNorm; + const RealScalar q = colNorm/rowNorm; if( !isApprox( q, _Scalar(1) ) ) { rowB = sqrt( colNorm/rowNorm ); - colB = Scalar(1)/rowB; + colB = RealScalar(1)/rowB; isBalanced = false; return false; @@ -219,8 +219,8 @@ void companion<_Scalar,_Deg>::balance() while( !hasConverged ) { hasConverged = true; - Scalar colNorm,rowNorm; - Scalar colB,rowB; + RealScalar colNorm,rowNorm; + RealScalar colB,rowB; //First row, first column excluding the diagonal //============================================== |