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High-Order Bound-Preserving Local Discontinuous Galerkin Methods for Incompressible and Immiscible Two-Phase Flows in Porous Media
In this paper, we develop high-order bound-preserving (BP) local discontinuous Galerkin methods for incompressible and immiscible two-phase flows in...
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A stabilizer-free pressure-robust finite element method for the Stokes equations
In this paper, we introduce a new finite element method for solving the Stokes equations in the primary velocity-pressure formulation using H (div)...
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New Hybrid Perturbed Projected Gradient and Simulated Annealing Algorithms for Global Optimization
The main objective of this works is to present an efficient hybrid optimization approach using a new coupling technique for solving constrained...
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A high-order numerical method for solving nonlinear derivative-dependent singular boundary value problems using trigonometric B-spline basis function
In the present work, we have developed high-order computationally reliable numerical method based on trigonometric quintic B-spline basis functions...
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Service Recovery: Past, Present, and Future
Service recovery procedures can refer to the provider’s actions taken to address customer complaints. Few meta-analytical articles are related to...
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On a wavelet-based numerical method for linear and nonlinear fractional Volterra integro-differential equations with weakly singular kernels
A wavelet-based technique has been used in this study to solve the linear and nonlinear fractional order Volterra integro-differential equations...
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Homography Augmented Momentum Contrastive Learning for SAR Image Retrieval
Deep learning-based image retrieval has been a strongly emphasized area in computer vision. Representation embedding extracted by deep neural...
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A new global smoothness indicator of fifth order weighted non-oscillatory scheme for hyperbolic conservation laws
In this work we introduce fifth-order weighted essentially non-oscillatory (WENO) scheme using new global smoothness indicator which demonstrates...
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Supervised Low-Rank Semi-nonnegative Matrix Factorization with Frequency Regularization for Forecasting Spatio-temporal Data
We propose a novel methodology for forecasting spatio-temporal data using supervised semi-nonnegative matrix factorization (SSNMF) with frequency...
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Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
In this contribution, we develop an efficient surrogate modeling framework for simulation-based optimization of enhanced oil recovery, where we...
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Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization
We consider unconstrained stochastic optimization problems with no available gradient information. Such problems arise in settings from...
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Results
This chapter presents the results of the analyses carried out to investigate the research question and the hypotheses of the study. The first section...
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A viscoelastic Timoshenko Beam Model: Regularity and Numerical Approximation
We derive a fully-discrete finite element scheme to a fractional Timoshenko beam model, which characterizes the mechanical responses of viscoelastic...
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Efficient Alternative Finite Difference WENO Schemes for Hyperbolic Systems with Non-conservative Products
Higher order finite difference Weighted Essentially Non-oscillatory (WENO) schemes for conservation laws represent a technology that has been...
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Accuracy-Enhancement of Discontinuous Galerkin Methods for PDEs Containing High Order Spatial Derivatives
In this paper, we consider the accuracy-enhancement of discontinuous Galerkin (DG) methods for solving partial differential equations (PDEs) with...
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Numerical Solution of the Burgers’ Equation Using Chelyshkov Polynomials
A numerical approach to approximate the nonlinear Burgers’ equation solution is presented in this article. By temporally discretizing the problem...
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Forecasting of COVID-19 Fatality in the USA: Comparison of Artificial Neural Network-Based Models
The first death caused by the novel coronavirus in the USA was declared on February 29, 2020, in the Seattle area in Washington state. Forecasting...
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The Chebyshev center as an alternative to the analytic center in the feasibility pump
As a heuristic for obtaining feasible points of mixed integer linear problems, the feasibility pump (FP) generates two sequences of points: one of...
