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SESOP-TN: Combining Sequential Subspace Optimization with Truncated Newton method
Michael Zibulevsky(mzib Abstract: SESOP-TN is a method for very large scale unconstrained optimization of smooth functions. It combines ideas of Sequential Subspace Optimization (SESOP) [Narkiss-Zibulevsky-2005] with those of the Truncated Newton (TN) method . Replacing TN line search with subspace optimization, we allow Conjugate Gradient (CG) iterations to stay matched through consequent TN steps. This resolves the problem of TN sensitivity to an early break of the CG process. For example, when an objective function is quadratic, the SESOP-TN trajectory coincides with the trajectory of CG as applied directly to the objective. Standard TN lacks this property and converges more slowly. Numerical experiments illustrate the effectiveness of the method. Matlab code is available at http://ie.technion.ac.il/~mcib/sesoptn.html Keywords: nonlinear optimization, Newton method Category 1: Nonlinear Optimization (Unconstrained Optimization ) Citation: Technical Report, CS Department, Technion, Israel, 29.09.2008 Download: [PDF] Entry Submitted: 09/29/2008 Modify/Update this entry | ||
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