A primal-dual interior point algorithm for linear programming
Progress in Mathematical Programming Interior-point and related methods
Path-following methods for linear programming
SIAM Review
Solving combinatorial optimization problems using Karmakar's algorithm
Mathematical Programming: Series A and B
Potential-reduction methods in mathematical programming
Mathematical Programming: Series A and B - Special issue: interior point methods in theory and practice
Complexity analysis of the analytic center cutting plane method that uses multiple cuts
Mathematical Programming: Series A and B
Primal-dual interior-point methods
Primal-dual interior-point methods
Computing Maximum Likelihood Estimators of Convex Density Functions
SIAM Journal on Scientific Computing
Complexity Analysis of an Interior Cutting Plane Method for Convex Feasibility Problems
SIAM Journal on Optimization
Multiple Cuts in the Analytic Center Cutting Plane Method
SIAM Journal on Optimization
A Nonlinear Analytic Center Cutting Plane Method for a Class of Convex Programming Problems
SIAM Journal on Optimization
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We describe a method for solving the maximum likelihood estimate problem of a mixing distribution, based on an interior cutting plane algorithm with cuts through analytic centers. From increasingly refined discretized statistical problem models we construct a sequence of inner non-linear problems and solve them approximately applying a primal-dual algorithm to the dual formulation. Refining the statistical problem is equivalent to adding cuts to the inner problems.