英语 [en] · PDF · 11.1MB · 1997 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save
描述
The presentation of a coherent methodology for the estimation of the parameters of mathematical models from experimental data is examined in this volume. Many topics are covered including the choice of the structure of the mathematical model, the choice of a performance criterion to compare models, the optimization of this performance criterion, the evaluation of the uncertainty in the estimated parameters, the design of experiments so as to get the most relevant data and the critical analysis of results. There are also several features unique to the work such as an up-to-date presentation of the methodology for testing models for identifiability and distinguishability and a comprehensive treatment of parametric optimization which includes greater consider ation of numerical aspects and which examines recursive and non-recursive methods for linear and nonlinear models.
The presentation of a coherent methodology for the estimation of the parameters of mathematical models from experimental data is examined in this volume. Topics covered include the choice of the structure of the mathematical model and the choice of a performance criterion to compare models.
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Filepath:zlib/Computers/Algorithms and Data Structures/Éric Walter, Luc Pronzato/Identification of Parametric Models: from Experimental Data_994100.pdf
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Repository ID for the 'libgen' repository in Libgen.li. Directly taken from the 'libgen_id' field in the 'files' table. Corresponds to the 'thousands folder' torrents.
Repository ID for the non-fiction ('libgen') repository in Libgen.rs. Directly taken from the 'id' field in the 'updated' table. Corresponds to the 'thousands folder' torrents.
Libgen.rs Non-Fiction Topic:mathematics\\algorithms and data structures
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