Lines Matching refs:m_fLogSlope
42 m_fLogSlope( 0.0 ), in ExponentialRegressionCurveCalculator()
45 ::rtl::math::setNan( & m_fLogSlope ); in ExponentialRegressionCurveCalculator()
66 ::rtl::math::setNan( & m_fLogSlope ); in recalculateRegression()
95 m_fLogSlope = fQxy / fQx; in recalculateRegression()
96 m_fLogIntercept = fAverageY - m_fLogSlope * fAverageX; in recalculateRegression()
108 if( ! ( ::rtl::math::isNan( m_fLogSlope ) || in getCurveValue()
111 fResult = exp(m_fLogIntercept + x * m_fLogSlope); in getCurveValue()
148 double fSlope = exp(m_fLogSlope); in ImplGetRepresentation()
159 aBuf.append( (m_fLogSlope < 0.0) ? C2U( " - " ) : C2U( " + " )); in ImplGetRepresentation()
160 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fLogSlope)) ); in ImplGetRepresentation()
169 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogSlope) ); in ImplGetRepresentation()
180 aBuf.append( (m_fLogSlope < 0.0) ? C2U( " - " ) : C2U( " + " )); in ImplGetRepresentation()
181 … aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, fabs(m_fLogSlope)) ); in ImplGetRepresentation()
185 aBuf.append( getFormattedString( xNumFormatter, nNumberFormatKey, m_fLogSlope) ); in ImplGetRepresentation()