julia version 1.6.2 (more recent version of julia possible with minor changes in libraries) Gurobi as LP solver (others may be used with a slight change in the code if a julia library link them to the ...

Abstract: To approximate functions of a single variable by using linear interpolation is routine in empirical studies. Here, we consider approximating functions of several variables in a similar ...

Abstract: In this paper a novel method for hardware-based realization of two-variable numeric functions is introduced. The main idea is based on the extension of the well-known piecewise linear ...

This article describes three approximation methods I used to solve the growth model (Model 1) studied by the National Bureau of Economic Research's nonlinear rational-expectations-modeling group ...

We design a new provably efficient algorithm for episodic reinforcement learning with generalized linear function approximation. We analyze the algorithm under a new expressivity assumption that we ...

Ruben (1966) has suggested a simple approximate normalization for the correlation coefficient in normal samples, by representing it as the ratio of a linear combination of a standard normal variable ...

This repository contains the implementation of a linear regression model designed to approximate an unknown function based on available data. The goal is to find a polynomial function that best fits ...

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 ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...