Prediction markets are platforms where people can buy and sell contracts based on the outcome of future events. These markets aggregate opinions, knowledge, and expectations across large groups of ...

Residual networks, as discrete approximations of Ordinary Differential Equations (ODEs), have inspired significant advancements in neural network design, including multistep methods, high-order ...

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The energy norm convergence rate of the finite element solution of the heat equation is reduced by the time-regularity of the exact solution. This paper presents an adaptive finite element treatment ...

Private methods are often used as an implementation detail and are not meant to be accessed directly by the users of a class. The name mangling mechanism in Python makes it difficult to call private ...

Welcome to the Day Twenty of my 21-day project series! I have made an AI Weather Predictor That Doesn’t Predict The Weather. Yes, you read it right!! Today’s project isn’t about being serious, ...

Abstract: Issues of fairness often arise in graphical neural networks used for misinformation detection. However, improving fairness can often come at the cost of reducing accuracy and vice versa.

Abstract: Tracing solution curves of nonlinear equations is an important problem that is widely encountered in science and engineering. As a computational method for tracing solution curves, the ...

In this paper, we present and analyze modified families of predictor-corrector iterative methods for finding simple zeros of univariate nonlinear equations, permitting near the root. The main ...