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| 020 | _a9783319267210 | ||
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_aQA314 _b.A537 2016 EB |
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| 100 | 1 |
_aAnastassiou, George A. _d1952- _0Local _997076 |
|
| 245 | 1 | 0 |
_aIntelligent Numerical Methods: Applications to Fractional Calculus _cby George A Anastassiou, Ioannis K Argyros |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (XVI, 423 p.) _b2 ilustraciones col. |
||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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_arecurso electrónico _bcr _2rdacarrier |
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_aStudies in Computational Intelligence _x1860-949X _v624 |
|
| 520 | _aIn this monograph the authors present Newton-type, Newton-like and other numerical methods, which involve fractional derivatives and fractional integral operators, for the first time studied in the literature. All for the purpose to solve numerically equations whose associated functions can be also non-differentiable in the ordinary sense. That is among others extending the classical Newton method theory which requires usual differentiability of function. Chapters are self-contained and can be read independently and several advanced courses can be taught out of this book. An extensive list of references is given per chapter. The book�s results are expected to find applications in many areas of applied mathematics, stochastics, computer science and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also to be in all science and engineering libraries. | ||
| 942 |
_2lcc _cLE |
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| 988 | _aEBOOK, EBSPRINGER | ||
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_aCálculo fraccionario _0comprobar BNE20032746739 _2embne _9162291 |
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_aArgyros, Ioannis K. _998038 _0Local |
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_aStudies in Computational Intelligence _x1860-949X _v624 _9134093 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-26721-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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