Titlebook: Stochastic Elasticity; A Nondeterministic A L. Angela Mihai Book 2022 Springer Nature Switzerland AG 2022 stochastic modeling.hyperelastic

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Stochastic Elasticity978-3-031-06692-4Series ISSN 0939-6047 Series E-ISSN 2196-9973

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Conclusion,The opposition between “clarity” and “predictability” on the one hand, and “uncertainty” on the other hand, or between “knowledge” and “chance”, has a long tradition but is starting to break down in many areas.

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L. Angela MihaiConsolidates many important concepts from a variety of sources.Covers classical topics and more advanced research topics.Includes an extensive and up-to-date list of references on advanced nonlinear e

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https://doi.org/10.1007/978-3-031-06692-4stochastic modeling; hyperelastic materials; large strain analysis; nonlinear elastic deformations; limi

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ectly competitive market in which each firm is assumed to have no information about its demand function (except that it is downward sloping), and we show that this model yields several testable hypotheses that are both interesting and reasonable. We should point out that the basic ideas and methods

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L. Angela Mihai levels of such decision variables as advertising and price. While Archibald’s formal results are correct, there seems to be no compelling reason to subscribe to the view that ‘… the difficulties of the “ qualitative calculus” applied to maximising models of the firm are too great to be overcome...’

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L. Angela Mihaiectly competitive market in which each firm is assumed to have no information about its demand function (except that it is downward sloping), and we show that this model yields several testable hypotheses that are both interesting and reasonable. We should point out that the basic ideas and methods