Results 191 to 200 of about 25,267,562 (240)
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2003
When Bernard Minster and Tom Jordan, together with Peter Molnar and Ian Haines, first published their inverse plate kinematic model in 1974 (Minster et al. 1974), the affect on the tectonics community was extraordinary. Jason Morgan had already published a global plate tectonics model parameterized in Cartesian vectors (Morgan 1972a), while Clement ...
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When Bernard Minster and Tom Jordan, together with Peter Molnar and Ian Haines, first published their inverse plate kinematic model in 1974 (Minster et al. 1974), the affect on the tectonics community was extraordinary. Jason Morgan had already published a global plate tectonics model parameterized in Cartesian vectors (Morgan 1972a), while Clement ...
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Forward Model Nonlinearity versus Inverse Model Nonlinearity
Groundwater, 2007Abstract The issue of concern is the impact of forward model nonlinearity on the nonlinearity of the inverse model. The question posed is, “Does increased nonlinearity in the head solution (forward model) always result in increased nonlinearity in the inverse solution (estimation of hydraulic conductivity)?” It is shown that the two ...
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Model-reduced inverse modeling
2006Although faster computers have been developed in recent years, they tend to be used to solve even more detailed problems. In many cases this will yield enormous models that can not be solved within acceptable time constraints. Therefore, there is a need for alternative methods that simulate such models more efficiently ans conserve the detailed ...
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Inverse Stereographic Gaussian DAG Models
Directed acyclic graphical models are statistical models that use a directed acyclic graph (DAG) to represent the conditional independence structure of a set of random variables. We introduce a new class of DAG models tailored for circular variables having an Inverse Stereographic Normal distribution.Anna Gottard, Agnese Panzera
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Efficient Inverse Modeling of Barotropic Ocean Tides
, 2002G. Egbert, S. Erofeeva
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A Survey on Diffusion Models for Inverse Problems
arXiv.orgDiffusion models have become increasingly popular for generative modeling due to their ability to generate high-quality samples. This has unlocked exciting new possibilities for solving inverse problems, especially in image restoration and reconstruction,
G. Daras +7 more
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Calibrating Models – Inverse Problems
2013In the previous chapters we studied several model choices to describe stock price and interest rate dynamics. When using models to valuate derivatives or to obtain a hedging strategy, the used parameters will greatly impact the results. While there is broad agreement of how to model many problems in physics (such as the thermal conductivity of copper ...
Hansjoerg Albrecher +3 more
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Colored Inversion and Acoustic Model-based Inversion Techniques.
Proceedings, 2015In this study was used Colored and Acoustic post-stack seismic inversion techniques. Five horizons from the reservoir zone were interpreted to determine geological inputs for the model. Well-log data was used to build synthetic traces which were then tied to the real seismic data.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly