书目名称 | The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I | 副标题 | Overcoming the Curse | 编辑 | Dan Gabriel Cacuci | 视频video | | 概述 | Describes the innovative C-ASAM methodology, framework, implementation and application.Presents separate frameworks for finite (algebraic) and infinite-dimensional (operator) spaces.Describes represen | 图书封面 |  | 描述 | .The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties underlying the respective model. The functional derivatives (also called “sensitivities”) of results (also called “responses”) produced by mathematical/computational models are needed for many purposes, including: (i) understanding the model by ranking the importance of the various model parameters; (ii) performing “reduced-order modeling” by eliminating unimportant parameters and/or processes; (iii) quantifying the uncertainties induced in a model response due to model parameter uncertainties; (iv) performing “model validation,” by comparing computations to experiments to address the question “does the modelrepresent reality?” (v) prioritizing improvements in the model; (vi) performing data assimilation and model calibration as part of forward “predictive modeling” to obtain best-estimate predicted results wit | 出版日期 | Book 2022 | 关键词 | finite-dimensional (matrix) systems; linear finite-dimensional systems; linear infinite-dimensional sy | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-96364-4 | isbn_softcover | 978-3-030-96366-8 | isbn_ebook | 978-3-030-96364-4 | copyright | Springer Nature Switzerland AG 2022 |
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