lb_constrain() [4/14]

template<typename T_x , typename T_lb , require_all_prim_or_rev_kernel_expression_t< T_x, T_lb > * = nullptr, require_any_var_t< T_x, T_lb > * = nullptr, require_any_not_stan_scalar_t< T_x, T_lb > * = nullptr>

var_value< matrix_cl< double > > stan::math::lb_constrain ( T_x &&  x, T_lb &&  lb, var &  lp  )

inline

Return the lower-bounded value for the specified unconstrained input and specified lower bound.

The transform applied is

\(f(x) = \exp(x) + L\)

where \(L\) is the constant lower bound.

Template Parameters

T_x	type of unconstrained input
T_lb	type of lower bound

Parameters

[in]	x	unconstrained input
[in]	lb	lower bound
[in,out]	lp	reference to log probability to increment

Returns

constrained matrix

Definition at line 75 of file lb_constrain.hpp.