Abstract
Numerical simulations have been established as a powerful tool used in practically all fields of engineering and science. A large number of commercial codes is developed to solve the, so-called direct problems (or forward problems), which consist of finding the solution in terms of response fields when a complete set of input data defining uniquely the solution is known. Since these codes require the knowledge of some parameters on which the solution depends, sometime in engineering practice it is required to solve an inverse problem, defined as the one where some of the “effects” (responses) are known but not some of the “causes” leading to them, namely parameters on which the system depends. These problems are tackled within, relatively young and still growing scientific branch which in modern literature (e.g. [1–3]) is found under the name of Inverse Analyses.
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Buljak, V. (2012). Inverse Analysis: Introduction. In: Inverse Analyses with Model Reduction. Computational Fluid and Solid Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22703-5_1
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DOI: https://doi.org/10.1007/978-3-642-22703-5_1
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