Uncertainty Quantification (Record no. 427260)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04125nam a22005175i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOKNUMBER | |
| International Standard Book Number | 9783319543390 |
| -- | 978-3-319-54339-0 |
| 024 7# - | |
| -- | 10.1007/978-3-319-54339-0 |
| -- | doi |
| 040 ## - | |
| -- | ISI Library, Kolkata |
| 050 #4 - | |
| -- | QA71-90 |
| 072 #7 - | |
| -- | PDE |
| -- | bicssc |
| 072 #7 - | |
| -- | COM014000 |
| -- | bisacsh |
| 072 #7 - | |
| -- | PDE |
| -- | thema |
| 082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Soize, Christian. |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 245 10 - TITLE STATEMENT | |
| Title | Uncertainty Quantification |
| Medium | [electronic resource] : |
| Remainder of title | An Accelerated Course with Advanced Applications in Computational Engineering / |
| Statement of responsibility, etc | by Christian Soize. |
| 942 ## - ADDED ENTRY ELEMENTS(KOHA) | |
| Koha item type | E-BOOKS |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| -- | author. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture | 2017. |
| 300 ## - | |
| -- | XXII, 329 p. 110 illus., 86 illus. in color. |
| -- | online resource. |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | computer |
| Media Type Code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | online resource |
| Carrier Type Code | cr |
| Source | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - | |
| -- | Interdisciplinary Applied Mathematics, |
| -- | 0939-6047 ; |
| -- | 47 |
| 505 0# - | |
| -- | Fundamental Notions in Stochastic Modeling of Uncertainties and their Propagation in Computational Models -- Elements of Probability Theory -- Markov Process and Stochastic Differential Equation -- MCMC Methods for Generating Realizations and for Estimating the Mathematical Expectation of Nonlinear Mappings of Random Vectors -- Fundamental Probabilistic Tools for Stochastic Modeling of Uncertainties -- Brief Overview of Stochastic Solvers for the Propagation of Uncertainties -- Fundamental Tools for Statistical Inverse Problems -- Uncertainty Quantification in Computational Structural Dynamics and Vibroacoustics -- Robust Analysis with Respect to the Uncertainties for Analysis, Updating, Optimization, and Design -- Random Fields and Uncertainty Quantification in Solid Mechanics of Continuum Media. |
| 520 ## - | |
| -- | This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials. Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification. It proceeds with a well carried out description of some basic and advanced methods for constructing stochastic models of uncertainties, paying particular attention to the problem of calibrating and identifying a stochastic model of uncertainty when experimental data is available. < This book is intended to be a graduate-level textbook for students as well as professionals interested in the theory, computation, and applications of risk and prediction in science and engineering fields. |
| 650 #0 - | |
| -- | Computer science. |
| 650 #0 - | |
| -- | Engineering mathematics. |
| 650 #0 - | |
| -- | Distribution (Probability theory. |
| 650 14 - | |
| -- | Computational Science and Engineering. |
| -- | http://scigraph.springernature.com/things/product-market-codes/M14026 |
| 650 24 - | |
| -- | Mathematical and Computational Engineering. |
| -- | http://scigraph.springernature.com/things/product-market-codes/T11006 |
| 650 24 - | |
| -- | Probability Theory and Stochastic Processes. |
| -- | http://scigraph.springernature.com/things/product-market-codes/M27004 |
| 710 2# - | |
| -- | SpringerLink (Online service) |
| 773 0# - | |
| -- | Springer eBooks |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9783319543383 |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9783319543406 |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9783319853727 |
| 830 #0 - | |
| -- | Interdisciplinary Applied Mathematics, |
| -- | 0939-6047 ; |
| -- | 47 |
| 856 40 - | |
| -- | https://doi.org/10.1007/978-3-319-54339-0 |
| 912 ## - | |
| -- | ZDB-2-SMA |
| 950 ## - | |
| -- | Mathematics and Statistics (Springer-11649) |
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