
doi: 10.1007/bf01580774
The author investigates the interior algorithms for linear programming. These algorithms are connected with some trajectories of vectors approximating an optimal solution to a linear programming problem. The author shows that given a bounded polyhedral set P with nonempty interior, the logarithmic barrier function (with no objective components) induces a vector field of negative Newton directions which flows from the center of P to the solution of every possible linear program of P.
interior algorithms, Newton's method, Linear programming, central trajectory, logarithmic barrier function
interior algorithms, Newton's method, Linear programming, central trajectory, logarithmic barrier function
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