Gradient-based methods

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Revision as of 02:59, 24 January 2011 (view source) Shenren CN (Talk \| contribs) ← Older edit		Latest revision as of 01:33, 6 January 2012 (view source) Shenren CN (Talk \| contribs) (Blanked the page)
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-	As its name means, gradient-based methods need the gradient of objective functions to design variables. The evaluation of gradient can be achieved by finite difference method, [linearized method] or [[adjoint method]]. Both finite difference method and linearized method has a time-cost proportional to the number of design variables and not suitable for design optimization with a large number of design variables. Apart from that, finite difference method has a notorious disadvantage of subtraction cancellation and is not recommended for practical design application.	+

Latest revision as of 01:33, 6 January 2012