Uncertainty Quantification and Model Calibration
Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has bee...
Saved in:
Other Authors: | |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
IntechOpen
2017
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_129707 | ||
005 | 20231201 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20231201s2017 xx |||||o ||| 0|eng d | ||
020 | |a 65579 | ||
020 | |a 9789535132806 | ||
020 | |a 9789535132790 | ||
020 | |a 9789535147541 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.5772/65579 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a UYM |2 bicssc | |
100 | 1 | |a Peter Hessling, Jan |4 edt | |
700 | 1 | |a Peter Hessling, Jan |4 oth | |
245 | 1 | 0 | |a Uncertainty Quantification and Model Calibration |
260 | |b IntechOpen |c 2017 | ||
300 | |a 1 electronic resource (226 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
546 | |a English | ||
650 | 7 | |a Computer modelling & simulation |2 bicssc | |
653 | |a kinetics, molecular dynamics, thermodynamics, fault detection, materials science | ||
856 | 4 | 0 | |a www.oapen.org |u https://mts.intechopen.com/storage/books/5832/authors_book/authors_book.pdf |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/129707 |7 0 |z DOAB: description of the publication |