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Beyond the Scope of Interior Point Polynomial Time...
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In all known polynomial time algorithms of nonlinear convex optimization, the computational effort per iteration grows nonlinearly with the design dimension n of the problem (typically, as n3). As a result, in the case of extremely large-scale (tens and hundreds thousands of variables) convex programs, a single iteration of a polynomial time algorithm can become too expensive to be practical. In these cases one is enforced to use
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- Workflow Status: Published
- Created By: Barbara Christopher
- Created: 10/08/2010
- Modified By: Fletcher Moore
- Modified: 10/07/2016
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