Computational Uncertainty Quantification for Inverse Problems
Johnathan M. Bardsley
2018 оны 8-р сар · Computational Science and Engineering 19-р ном · SIAM
Электрон ном
141
Хуудас
family_home
Боломжит
info
reportҮнэлгээ болон шүүмжийг баталгаажуулаагүй Нэмэлт мэдээлэл авах
Энэ электрон номын тухай
This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB? code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers.
Computational Uncertainty Quantification for Inverse Problems is intended for graduate students, researchers, and applied scientists. It is appropriate for courses on computational inverse problems, Bayesian methods for inverse problems, and UQ methods for inverse problems.
Зохиогчийн тухай
Johnathan M. Bardsley is a professor in the Department of Mathematical Sciences at the University of Montana, where he has been teaching since 2003. He has held long-term visiting professorships at the University of Helsinki, Finland; University of Otago, New Zealand; Technical University of Denmark; and Monash University, Australia, supported by the Gordon Preston Sabbatical Fellowship. Professor Bardsley was a postdoctoral fellow at the NSF-funded Statistical and Applied Mathematical Sciences Institute during its inaugural year in 2002-03. In 2017, he received the Chancellor's Medallion Award from Montana Tech for excellence in his educational and professional career and for significant contributions to his academic discipline. Professor Bardsley's research interests focus on inverse problems, uncertainty quantification, computational mathematics, and computational statistics, and he has published many refereed journal articles in these areas.
Энэ электрон номыг үнэлэх
Санал бодлоо хэлнэ үү.
Унших мэдээлэл
Ухаалаг утас болон таблет
Андройд болон iPad/iPhone-д Google Ном Унших аппыг суулгана уу. Үүнийг таны бүртгэлд автоматаар синк хийх бөгөөд та хүссэн газраасаа онлайн эсвэл офлайнаар унших боломжтой.
Зөөврийн болон ердийн компьютер
Та компьютерийн веб хөтчөөр Google Play-с авсан аудио номыг сонсох боломжтой.
eReaders болон бусад төхөөрөмжүүд
Kobo Цахим ном уншигч гэх мэт e-ink төхөөрөмжүүд дээр уншихын тулд та файлыг татаад төхөөрөмж рүүгээ дамжуулах шаардлагатай болно. Файлуудаа дэмжигддэг Цахим ном уншигч руу шилжүүлэхийн тулд Тусламжийн төвийн дэлгэрэнгүй зааварчилгааг дагана уу.
