The landscape of the insurance industry is undergoing a transformative shift as climate change intensifies, bringing with it an increasing frequency and severity of natural disasters. Among the most ...
Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 70, No. 2 (August 2008), pp. 267-313 (47 pages) The Bayesian approach to analyzing semi-parametric models are gaining popularity in ...
Abstract: In engineering systems with uncertain parameters, it is crucial for system analysis and control to analyze the relationship between these uncertain parameters and system outputs (or states).
The future is likely to bring even more customised parametric plans, underpinned by robust weather and pollution data ...
Abstract: The proper orthogonal decomposition (POD) is commonly applied for the model order reduction (MOR) of parametric problems. The method generates a reduced basis from the left singular vectors ...
In this paper, we aim to suggest the new concept of Levitin-Polyak (for short, LP) well-posedness for the parametric quasivariational inclusion and disclusion problems (for short, (QVIP) (resp. (QVDP) ...
NeuroMANCER v1.5.6 Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations (NeuroMANCER) is an open-source differentiable programming (DP) library for solving parametric ...
Tripura, T., & Chakraborty, S. (2023). Wavelet Neural Operator for solving parametric partial differential equations in computational mechanics problems. Computer Methods in Applied Mechanics and ...
ABSTRACT: This paper mainly investigates the semicontinuity of solution mappings for set optimization problems under a partial order set relation instead of upper and lower set less order relations.
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