Inversion of perturbed linear operators that are singular at the origin 17:00 – 17:25 Alex Rubinov Abstract Convexity and Hermite-Hadamard-type Inequalities Long memory and heavy tails in stochastic modeling with application to finance

The characterization of fracture networks is challenging for enhanced geothermal systems, yet crucial the understanding thermal distributions, and behaviors flow field solute transport. A novel inverse modeling framework proposed estimation networks. hierarchical parameterization method adopted in this work. For a small number large fractures, each characterized by length, azimuth coordination ...

In Quaternary deposits, the characterization of subsurface heterogeneity and its associated uncertainty is critical when dealing with groundwater resource management. The combination different data types through joint inversion has proven to be an effective way reduce final model uncertainty. Moreover, it allows in agreement a wider spectrum available on site. However, integrating them stochast...

The class of Linear Inversion Transduction Grammars (LITGs) is introduced, and used to induce a word alignment over a parallel corpus. We show that alignment via Stochastic Bracketing LITGs is considerably faster than Stochastic Bracketing ITGs, while still yielding alignments superior to the widelyused heuristic of intersecting bidirectional IBM alignments. Performance is measured as the trans...

We introduce a new open-source toolkit for model-based Bayesian seismic inversion called Delivery. The prior model in Delivery is a trace–local layer stack, with rock physics information taken from log analysis and layer times initialised from picks. We allow for uncertainty in both the fluid type and saturation in reservoir layers: variation in seismic responses due to fluid effects are taken ...

In order to quantify the reliability of NDE systems, large amounts of experiments are performed to develop a probability of detection (POD) curve for the system. These POD studies require a substantial amount of experimentation which can sometimes be cost prohibitive. To expedite the process of developing these curves, highly precise numerical models are used in conjunction with NDE sensors to ...