A standard problem in uncertainty quantification and in computational statistics is the sampling of stationary Gaussian random fields with given covariance in a d-dimensional (physical) domain. In ...
Journal of Coastal Research, Special Issue No. 93: Advances in Water Resources and Exploration (FALL 2019), pp. 119-124 (6 pages) In order to improve the numerical analysis ability of long period wave ...
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Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
General aspects of polynomial interpolation theory. Formulations in different basis, e.g. Lagrange, Newton etc. and their approximation and computational properties ...
Geologic Modeling of High-Grade Drill Intercepts Underway VANCOUVER, BC / ACCESS Newswire / November 25, 2025 /Silver Dollar ...
Solution of nonlinear algebraic equations, interpolation, integration, approximation, and numerical linear algebra. Prereq., APPM 3310 or MATH 3130, and experience with a scientific programming ...
The ability to analyse, interpret and evaluate data is integral to student success. Therefore, this course is designed to develop students the knowledge, skills and confidence to apply mathematical ...
Digital Signal Processing (DSP) was, a few decades ago, a relatively obscure field associated with the mathematics of numerical analysis. As computers have become cheaper and faster, it is now ...
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