approximation algorithm Archives - Projects, Thesis, Dissertation, Project Reports

STOCHASTIC OPTIMIZATION: ALGORITHMS AND CONVERGENCE

Stochastic approximation is one of the oldest approaches for solving stochastic optimization problems. In the first part of the dissertation, we study the convergence and asymptotic normality of a generalized form of stochastic approximation algorithm with deterministic perturbation sequences. Both one-simulation and

Evaluation of algorithms for finding bridges between two disjoint convex polygons

The bridge problem considers k disjoint regions in the plane or space and tries to place k -1 optimal bridges connecting all the regions. The optimal bridges are de ned as line segments that minimize the length of the longest path between

approximation algorithm

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