Uncertainty quantification and model calibration / / edited by Jan Peter Hessling.
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...
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| Place / Publishing House: | [Place of publication not identified] : : IntechOpen,, [2017] ©2017 |
| Year of Publication: | 2017 |
| Language: | English |
| Physical Description: | 1 online resource (226 pages) |
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Electronic
| DOAB Directory of Open Access Books | Available |