- m -

• M_ : vnl_transpose
• m_ : vnl_svd< T > , vnl_svd_economy< real_t >
• m_AssignmentVector : vnl_hungarian_algorithm< T >
• m_C_cov : vnl_hungarian_algorithm< T >
• m_Cost : vnl_hungarian_algorithm< T >
• m_Cost_in : vnl_hungarian_algorithm< T >
• m_M : vnl_hungarian_algorithm< T >
• m_N : vnl_hungarian_algorithm< T >
• m_R_cov : vnl_hungarian_algorithm< T >
• m_TotalCost : vnl_hungarian_algorithm< T >
• m_Z0_c : vnl_hungarian_algorithm< T >
• m_Z0_r : vnl_hungarian_algorithm< T >
• Ma_ : vnl_sparse_lm
• mat : vnl_sparse_symmetric_eigensystem
• max_ : vnl_svd< T > , vnl_svd_fixed< T, R, C >
• max_corrections_ : vnl_lbfgsb
• max_iter_ : vnl_lsqr
• maxfev : vnl_nonlinear_minimizer
• maxiter : vnl_amoeba
• maxval : vnl_numeric_traits< unsigned int > , vnl_numeric_traits< unsigned long > , vnl_numeric_traits< vnl_bignum > , vnl_numeric_traits< vnl_decnum > , vnl_numeric_traits< short > , vnl_numeric_traits< unsigned short > , vnl_numeric_traits< int > , vnl_numeric_traits< vcl_complex< vnl_rational > > , vnl_numeric_traits< long > , vnl_numeric_traits< vnl_rational >
• Mb_ : vnl_sparse_lm
• memory : vnl_lbfgs
• min_ : vnl_svd< T > , vnl_svd_fixed< T, R, C >
• mo_ : vnl_finite_int< N >
• mode_ : vnl_sparse_lu
• mz_array : vnl_random
• mz_array_position : vnl_random
• mz_borrow : vnl_random
• mz_previous_normal : vnl_random
• mz_previous_normal_flag : vnl_random
• mz_seed_array : vnl_random