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https://hdl.handle.net/2440/495
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DC Field | Value | Language |
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dc.contributor.author | Torokhti, A. | - |
dc.contributor.author | Howlett, P. | - |
dc.contributor.author | Pearce, C. | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | Journal of Computational Analysis and Applications, 2003; 5(3):299-312 | - |
dc.identifier.issn | 1521-1398 | - |
dc.identifier.uri | http://hdl.handle.net/2440/495 | - |
dc.description | The original publication is available at www.springerlink.com | - |
dc.description.abstract | We present a new approach to the approximation of nonlinear operators in probability spaces. The approach is based on a combination of the specific iterative procedure and the best approximation problem solution with a quadratic approximant. We show that the combination of these new techniques allow us to build a computationally efficient and flexible method. The algorithm of the method and its application to the optimal filtering of stochastic signals are given. | - |
dc.description.statementofresponsibility | Anatoli Torokhti, Phil Howlett and Charles Pearce | - |
dc.language.iso | en | - |
dc.publisher | Kluwer Academic | - |
dc.source.uri | http://www.springerlink.com/content/x3542k57n3222664/ | - |
dc.title | Method of best successive approximations for nonlinear operators | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1023/A:1023223604650 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Applied Mathematics publications Aurora harvest |
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