000 | 01981cam a2200289zu 4500 | ||
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001 | 41001463 | ||
003 | FRCYB41001463 | ||
005 | 20250107204435.0 | ||
006 | m o d | ||
007 | cr un | ||
008 | 250107s2007 fr | o|||||0|0|||eng d | ||
020 | _a9780444530448 | ||
035 | _aFRCYB41001463 | ||
040 |
_aFR-PaCSA _ben _c _erda |
||
100 | 1 | _aTorokhti, Anatoli | |
245 | 0 | 1 |
_aComputational Methods for Modeling of Nonlinear Systems _c['Torokhti, Anatoli', 'Howlett, Phil'] |
264 | 1 |
_bElsevier Science _c2007 |
|
300 | _a p. | ||
336 |
_btxt _2rdacontent |
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337 |
_bc _2rdamdedia |
||
338 |
_bc _2rdacarrier |
||
650 | 0 | _a | |
700 | 0 | _aTorokhti, Anatoli | |
700 | 0 | _aHowlett, Phil | |
856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/41001463 _qtext/html _a |
520 | _aIn this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. | ||
999 |
_c58884 _d58884 |