We consider the complexity of finding a feasible point inside a polyhe
dron specified by homogeneous linear constraints. A primal-dual interi
or point method is used. The running time of the interior point method
can be bounded in terms of a condition number of the coefficient matr
ix A that has been proposed by Ye. We demonstrate that Ye's condition
number is bounded in terms of another condition number for weighted le
ast squares discovered by Stewart and Todd, Thus, the Stewart-Todd con
dition number, which is defined for real-number data, also bounds the
complexity of finding a feasible point in a polyhedron.