| 000 -LEADER |
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| fixed length control field |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191120b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319543383 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
620.0015192 |
| Item number |
SOI |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Soize, Christian |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Uncertainty quantification : an accelerated course with advanced applications in computational engineering |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cham |
| Name of publisher, distributor, etc |
Springer |
| Date of publication, distribution, etc |
2017 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxii, 329 p. |
| Other physical details |
ill. (some col.) |
| Dimensions |
24 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
74.99 |
| Price type code |
EUR |
| Unit of pricing |
82.00 |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Interdisciplinary applied mathematics |
| Volume number/sequential designation |
v. 47 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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.
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| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Information theory |
|
|---|
| Topical term or geographic name as entry element |
Statistical methods |
|
|---|
| Topical term or geographic name as entry element |
Data processing |
|
|---|
| Topical term or geographic name as entry element |
Stochastic models |
|
|---|
| Topical term or geographic name as entry element |
Applied Mathematics |
|
|---|
| Topical term or geographic name as entry element |
Computational Methods of Engineering |
|
|---|
| Topical term or geographic name as entry element |
Engineering mathematics |
|
|---|
| Topical term or geographic name as entry element |
Probability Theory and Stochastic Processes |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
|
| Item type |
Books |