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Autor:
Ali, Ratul, Islam, Aktarul, Rana, Md. Shohel, Nasrin, Saila, Shajol, Sohel Afzal, Sadi, A. H. M. Saifullah
Acoustic data serves as a fundamental cornerstone in advancing scientific and engineering understanding across diverse disciplines, spanning biology, communications, and ocean and Earth science. This inquiry meticulously explores recent advancements
Externí odkaz:
http://arxiv.org/abs/2402.10005
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments
This paper describes PyOED, a highly extensible scientific package that enables developing and testing model-constrained optimal experimental design (OED) for inverse problems. Specifically, PyOED aims to be a comprehensive Python toolkit for model-c
Externí odkaz:
http://arxiv.org/abs/2301.08336
Many methods have been developed in trajectory planning in order to achieve smooth and accurate motion with considering the constraints of kinematics constraints such as angular position, velocity, acceleration, and jerk. The problem of using the com
Externí odkaz:
http://arxiv.org/abs/2105.10251
In this survey, we explore Andrei Nikolayevich Kolmogorov's seminal work in just one of his many facets: its influence Computer Science especially his viewpoint of what herein we call 'Algorithmic Theory of Informatics.' Can a computer file 'reduce'
Externí odkaz:
http://arxiv.org/abs/2006.11842
PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments
Autor:
Attia, Ahmed, Ahmed, Shady E.
This paper describes the first version (v1.0) of PyOED, a highly extensible scientific package that enables developing and testing model-constrained optimal experimental design (OED) for inverse problems. Specifically, PyOED aims to be a comprehensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2c4858284c41f5b4083e22376c0c52b
http://arxiv.org/abs/2301.08336
http://arxiv.org/abs/2301.08336
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