/**
* @brief Reseeds the %linear_congruential_engine random number generator
- * engine sequence to the seed @g __s.
+ * engine sequence to the seed @p __s.
*
* @param __s The new seed.
*/
* @brief A cauchy_distribution random number distribution.
*
* The formula for the normal probability mass function is
- * @f$ p(x|a,b) = \( \pi b \( 1 + \( \frac{x-a}{b} \)^2 \) \)^{-1} @f$
+ * @f$ p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1} @f$
*/
template<typename _RealType = double>
class cauchy_distribution
*
* The formula for the normal probability mass function is
* @f$ p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)}
- * \(\frac{m}{n}\)^{m/2} x^{(m/2)-1}
- * \( 1 + \frac{mx}{n} \)^{-(m+n)/2} @f$
+ * (\frac{m}{n})^{m/2} x^{(m/2)-1}
+ * (1 + \frac{mx}{n})^{-(m+n)/2} @f$
*/
template<typename _RealType = double>
class fisher_f_distribution
*
* The formula for the normal probability mass function is
* @f$ p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)}
- * \( 1 + \frac{x^2}{n} \) ^{-(n+1)/2} @f$
+ * (1 + \frac{x^2}{n}) ^{-(n+1)/2} @f$
*/
template<typename _RealType = double>
class student_t_distribution