- b -

• ByColumn : vnl_index_sort< TValue, TIndex >
• ByRow : vnl_index_sort< TValue, TIndex >
• vnl_BIG_ENDIAN : vnl_matlab_header

- c -

• CONVERGED_FTOL : vnl_nonlinear_minimizer
• CONVERGED_GTOL : vnl_nonlinear_minimizer
• CONVERGED_XFTOL : vnl_nonlinear_minimizer
• CONVERGED_XTOL : vnl_nonlinear_minimizer
• vnl_COLUMN_WISE : vnl_matlab_header

- d -

• vnl_DOUBLE_PRECISION : vnl_matlab_header

- e -

• ERROR_DODGY_INPUT : vnl_nonlinear_minimizer
• ERROR_FAILURE : vnl_nonlinear_minimizer
• estimate_condition : vnl_sparse_lu , vnl_ldl_cholesky , vnl_cholesky
• estimate_condition_verbose : vnl_sparse_lu

- f -

• FAILED_FTOL_TOO_SMALL : vnl_nonlinear_minimizer
• FAILED_GTOL_TOO_SMALL : vnl_nonlinear_minimizer
• FAILED_TOO_MANY_ITERATIONS : vnl_nonlinear_minimizer
• FAILED_USER_REQUEST : vnl_nonlinear_minimizer
• FAILED_XTOL_TOO_SMALL : vnl_nonlinear_minimizer

- i -

• isreal : vnl_complex_traits< float > , vnl_complex_traits< vcl_complex< vnl_rational > > , vnl_complex_traits< vnl_rational > , vnl_complex_traits< vcl_complex< vnl_bignum > > , vnl_complex_traits< vnl_bignum > , vnl_complex_traits< vcl_complex< long double > > , vnl_complex_traits< vcl_complex< double > > , vnl_complex_traits< vcl_complex< float > > , vnl_complex_traits< long double > , vnl_complex_traits< double >

- l -

• linear_congruential_multiplier : vnl_random
• vnl_LITTLE_ENDIAN : vnl_matlab_header

- m -

• mz_previous1 : vnl_random

- n -

• no_gradient : vnl_least_squares_function , vnl_sparse_lst_sqr_function
• no_weights : vnl_sparse_lst_sqr_function
• NORMAL : vnl_hungarian_algorithm< T >
• vnl_none : vnl_matlab_header

- p -

• PRIME : vnl_hungarian_algorithm< T >

- q -

• quiet : vnl_cholesky , vnl_sparse_lu , vnl_ldl_cholesky

- r -

• vnl_ROW_WISE : vnl_matlab_header

- s -

• SIZE : vnl_vector_fixed< T, n >
• STAR : vnl_hungarian_algorithm< T >
• STEP_0 : vnl_hungarian_algorithm< T >
• STEP_1 : vnl_hungarian_algorithm< T >
• STEP_2 : vnl_hungarian_algorithm< T >
• STEP_3 : vnl_hungarian_algorithm< T >
• STEP_4 : vnl_hungarian_algorithm< T >
• STEP_5 : vnl_hungarian_algorithm< T >
• STEP_6 : vnl_hungarian_algorithm< T >
• STEP_done : vnl_hungarian_algorithm< T >
• vnl_SINGLE_PRECISION : vnl_matlab_header

- t -

• TOO_MANY_ITERATIONS : vnl_nonlinear_minimizer

- u -

• use_gradient : vnl_least_squares_function , vnl_sparse_lst_sqr_function
• use_weights : vnl_sparse_lst_sqr_function

- v -

• verbose : vnl_cholesky , vnl_sparse_lu , vnl_ldl_cholesky