Benjamin Green, Terence Tao, Linear equations in primes, Annals of Mathematics, Second Series, Vol. 171, No. 3 (May, 2010), pp. 1753-1850 ...

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

This book outlines the modern theory of functional equations and inequalities in several variables. It consists of three parts. The first is devoted to additive and convex functions defined on linear ...

By avoiding a computationally cumbersome reverse-engineering approach such as in Peters, Bühlmann and Meinshausen (2016), it allows for large-scale causal inference in linear structural equation ...

Linear equations are used to model relationships in real-world scenarios where two variables change at a constant rate. Common examples include calculating wages based on an hourly rate, determining ...

This chapter focuses on pair of linear equations in two variables, exploring various methods for solving them, including graphical, substitution, and elimination methods. It explains the concepts of ...

For the conventional four-parameter model of photovoltaic (PV) cell, to simplify the number of its mathematical equations, in this paper, a variable-weather-parameter cell model (VWP model) is ...

Pair of Linear Equations in Two Variables Class 10 Notes: Get here CBSE Class 10 Mathematics Full and Short Notes for Chapter 2 for upcoming Board exam revision.

Solve linear and quadratic diophantine equations in two variables: Ax^2 + Bxy + Cy^2 + Dx + Ey + F = 0 ...

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.