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20122026
most citedDeep learning for Stock Market Prediction

399 citations

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10 papers · 1 filter

math.NA2022★ 23 cited

Prediction of numerical homogenization using deep learning for the Richards equation

Sergei Stepanov, Denis Spiridonov, Tina Mai

For the nonlinear Richards equation as an unsaturated flow through heterogeneous media, we build a new coarse-scale approximation algorithm utilizing numerical homogenization. This…

math.NA2022★ 8 cited

Constraint Energy Minimizing Generalized Multiscale Finite Element Method for multi-continuum Richards equations

Tina Mai, Siu Wun Cheung, Jun Sur Richard Park

In fluid flow simulation, the multi-continuum model is a useful strategy. When the heterogeneity and contrast of coefficients are high, the system becomes multiscale, and some kind…

math.NA2020★ 18 cited

Multiscale simulations for multi-continuum Richards equations

Jun Sur Richard Park, Siu Wun Cheung, Tina Mai

In this paper, we study a multiscale method for simulating a dual-continuum unsaturated flow problem within complex heterogeneous fractured porous media. Mathematically, each of th…

math.NA2020★ 5 cited

Balancing domain decomposition by constraints associated with subobjects

Santiago Badia, Alberto F. Martín, Hieu Nguyen

A simple variant of the BDDC preconditioner in which constraints are imposed on a selected set of subobjects (subdomain subedges, subfaces and vertices between pairs of subedges) i…

math.NA2019★ 33 cited

Theory of functional connections applied to quadratic and nonlinear programming under equality constraints

Tina Mai, Daniele Mortari

This paper introduces an efficient approach to solve quadratic and nonlinear programming problems subject to linear equality constraints via the Theory of Functional Connections. T…

math.NA2019★ 35 cited

Constraint energy minimizing generalized multiscale finite element method for nonlinear poroelasticity and elasticity

Shubin Fu, Eric Chung, Tina Mai

In this paper, we apply the constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) to first solving a nonlinear poroelasticity problem. The arising…