The Baltic Sea salinity is modelled using a two-box model. The simplistic approach allows for very long integrations where a large part of the phase space of the model can be probed. Particular ...

Abstract: It is a known fact that mathematics, computational science, and engineering all heavily rely on the numerical solution of initial value problems. In this study, an explicit one- strategy to ...

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

Sean Ross is a strategic adviser at 1031x.com, Investopedia contributor, and the founder and manager of Free Lances Ltd. Thomas J Catalano is a CFP and Registered Investment Adviser with the state of ...

Abstract: In this article, we present a derivation of a novel 4-stage fractional Runge-Kutta method (4sFRKM). Then we apply it to solve time-fractional initial values problems. This method is useful ...

When a valuation of a company is made, it is done by modelling future cash flows and discounting them to the present-day value in a discounted cash flow model. Fundamentally, this relies on the ...

What Does Value Learning Problem Mean? The value learning problem is a specific fundamental issue in the development of machine learning and artificial intelligence technologies that addresses the ...

bvp1d solves systems of boundary value differential equations in a single spatial variable. It is mostly compatible with the MATLAB function bvp4c, one of the main differences being that it currently ...

A popular tax among neoliberals is a land-value tax. This is a tax on the value of land minus the value of any improvements. The most common critiques of the tax are about the practical difficulty of ...