Frontiers

Editorial: Approximation methods and analytical modeling using partial differential equations

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...
Scientific Research Publishing

Considerations on the Use of Approximations to Estimate Freight Demand on the Basis of a Single Explanatory Variable with Non-Linear Functional Forms and Generalization to ...

This paper presents two sets of considerations on the use of approximations to estimate freight trip generation (FTG) and freight generation (FG) rates, based on a single variable. Following recent ...
IEEE

Piecewise Linear Approximation of Battery Open-Circuit Voltage Characteristics Using Dynamic Programming

Abstract: An open-circuit voltage (OCV) model, which represents OCV as a function of state of charge (SOC), is essential for estimating the state of a battery. Typically, the OCV-SOC characteristic is ...
JSTOR Daily

Approximation of backward stochastic differential equations using Malliavin weights and least-squares regression

We design a numerical scheme for solving a Dynamic Programming equation with Malliavin weights arising from the time-discretization of backward stochastic differential equations with the integration ...
GitHub

Estimation of network statistics of the Hopf whole-brain model using a linear noise approximation

The present codes estimate the network statistics of the Hopf whole-brain model (Deco et al. 2017). This model corresponds to a network of nonlinear oscillators described by a normal form of a ...
Frontiers

Approximation Methods and Analytical Modeling Using Partial Differential Equations

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. As soon as an appropriate mathematical model is developed, it can ...