◆ stochastic_column_constrain() [4/7]

template<typename T , typename Lp , require_std_vector_t< T > * = nullptr, require_convertible_t< return_type_t< T >, Lp > * = nullptr>

auto stan::math::stochastic_column_constrain	(	const T &	y,
		Lp &	lp
	)

inline

Return a vector of column stochastic matrices.

This overload handles looping over the elements of a standard vector.

Template Parameters

T	A standard vector with inner type inheriting from `Eigen::DenseBase` or a `var_value` with inner type inheriting from `Eigen::DenseBase` with compile time dynamic rows and dynamic columns
Lp	Scalar type for the lp argument. The scalar type of T should be convertable to this.

Parameters

[in]	y	free vector
[in,out]	lp	log density accumulator

Returns: Standard vector containing matrices with simplex columns of dimensionality (K, M).