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Record Nr. |
UNISA996426335803316 |
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Autore |
Meerschaert Mark M. <1955-> |
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Titolo |
Mathematical modeling / / Mark M. Meerschaert [[electronic resource]] |
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Pubbl/distr/stampa |
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Waltham, MA, : Academic Press/Elsevier, 2013 |
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Edizione |
[4th ed.] |
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Descrizione fisica |
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1 online resource (xii, 365 p. ) : ill |
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Disciplina |
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Soggetti |
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Mathematical models |
Civil & Environmental Engineering |
Engineering & Applied Sciences |
Operations Research |
Electronic books |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index |
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Nota di contenuto |
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Optimization models. One-Variable Optimization ; Multivariable Optimization ; Computational Methods for Optimization. -- Dynamic models. Introduction to Dynamic Models ; Analysis of Dynamic Models ; Simulation of Dynamic Models. -- Probability models. Introduction to Probability Models ; Stochastic Models ; Simulation of Probability Models |
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Sommario/riassunto |
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"Meerschaert's new edition strengthens his position as the survey text of choice for mathematical modeling courses, adding ample instructor support and leveraging on-line delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision-making in our society, and if the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor, as recent events have proved. Since mathematical modeling is a rapidly growing specialty with applications in so many scientific and technical disciplines, there is a need for mathematically rigorous treatments of the subject, and particularly for texts that expose students to a range of possible approaches."--Publisher's website. |
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