lb_constrain() [1/17]

template<typename T , typename L , require_all_kernel_expressions_and_none_scalar_t< T > * = nullptr, require_all_kernel_expressions_t< L > * = nullptr>

auto stan::math::lb_constrain ( T &&  x, L &&  lb  )

inline

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

Specialization of lb_constrain to apply a matrix of lower bounds elementwise to each input element.

The transform applied is

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

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

Template Parameters

T	kernel generator expression
L	kernel generator expression

Parameters

[in]	x	unconstrained input
[in]	lb	lower bound

Returns

constrained matrix

Template Parameters

T	A type inheriting from EigenBase.
L	A type inheriting from EigenBase.

Parameters

[in]	x	unconstrained input
[in]	lb	lower bound on output

Returns

lower-bound constrained value corresponding to inputs

Definition at line 32 of file lb_constrain.hpp.