Uncertainty quantification : (Record no. 68750)
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000 -LEADER | |
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fixed length control field | 01906nam a22002297a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 211012b2017 |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783319853727 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 003.54 SOI-C |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Soize, Christian |
245 ## - TITLE STATEMENT | |
Title | Uncertainty quantification : |
Remainder of title | an accelerated course with advanced applications in computational engineering / |
Statement of responsibility, etc. | Christian Soize |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | Switzerland |
Name of publisher, distributor, etc. | Springer |
Date of publication, distribution, etc. | 2017 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 329 p. |
365 ## - TRADE PRICE | |
Price type code | EU |
Price amount | 56.99. |
500 ## - GENERAL NOTE | |
General note | This book presents the fundamental notions and advanced mathematical tools in the stochastic modelling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses on 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. <br/><br/>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. <br/><br/>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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Uncertainty--Mathematical models |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering mathematics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Mathematics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Probabilities |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer science--Mathematics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering--Mathematical models |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Stochastic models |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
Withdrawn status |
Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
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Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 12/10/2021 | 003.54 SOI-C | 42428 | 26/07/2023 | 12/10/2021 | Books | DST-FIST FUND. |