Title | ||
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Underlying paths in interior point methods for the monotone semidefinite linear complementarity problem |
Abstract | ||
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An interior point method defines a search direction at each interior point of the feasible region. The search directions at all interior points together form a direction field, which gives rise to a system of ordinary differential equations (ODEs). Given an initial point in the interior of the feasible region, the unique solution of the ODE system is a curve passing through the point, with tangents parallel to the search directions along the curve. We call such curves off-central paths. We study off-central paths for the monotone semidefinite linear complementarity problem (SDLCP). We show that each off-central path is a well-defined analytic curve with parameter μ ranging over (0, ∞) and any accumulation point of the off-central path is a solution to SDLCP. Through a simple example we show that the off-central paths are not analytic as a function of $$\sqrt{\mu}$$ and have first derivatives which are unbounded as a function of μ at μ = 0 in general. On the other hand, for the same example, we can find a subset of off-central paths which are analytic at μ = 0. These “nice” paths are characterized by some algebraic equations. |
Year | DOI | Venue |
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2007 | 10.1007/s10107-006-0010-7 | Math. Program. |
Keywords | Field | DocType |
initial point,interior point,accumulation point,search direction,off-central path,interior point method,ode system,curves off-central path,feasible region,underlying path,monotone semidefinite linear complementarity,well-defined analytic curve,linear complementarity problem | Mathematical optimization,Mathematical analysis,Analytic function,Feasible region,Tangent,Linear complementarity problem,Limit point,Interior point method,Semidefinite programming,Monotone polygon,Mathematics | Journal |
Volume | Issue | ISSN |
110 | 3 | 1436-4646 |
Citations | PageRank | References |
6 | 0.44 | 25 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
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Chee-Khian Sim | 1 | 23 | 5.43 |
Gongyun Zhao | 2 | 154 | 15.68 |