Logarithmically concave sampling is the problem of generating a random vector whose law approximates a specified logarithmically
concave distribution. One oracle model specifies a
twice continuously differentiable potential 
with 
, 
, and
 |
The target probability density is 
, with 
. An exact first-order oracle
query returns 
and 
. Random real variables
and unrestricted computation between queries are
allowed.
