Many problems in science and engineering have their mathematical formulation as an operator equation Tx=y, where T is a linear or nonlinear operator between certain function spaces. In practice, such ...

Quickly screen large amounts of possible materials for specific properties and select promising candidates for deeper ...

India's scientific legacy is both vast and profound. Long before the rise of modern science, ancient Indian sages, ...

In this paper, we propose utilizing the Randomized Matrix Approximation (RMA ... Additionally, the iterative MVMs in the equation-solving procedure retain linear complexity with a smaller coefficient ...

In this work, an extension of the algebraic formulation of the operational Tau method (OTM) for the numerical solution of the linear and nonlinear fractional integro-differential equations (FIDEs) is ...

This equation indicates that the overall absorption of a layer is equal to the linear superposition of the absorption ... Taking the different etching rates into account, we made approximations where ...

A. Kunoth and Ch. Schwab, Analytic regularity and gpc approximation for control problems constrained by linear parametric elliptic and parabolic PDEs, Report 2011-54, Seminar for Applied Mathematics, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

Southern Oscillation’s global reach and complex ocean–atmosphere interactions across timescales, two simple, elegant equations capture its key dynamics and defining properties.

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

Did you know meteorologists forecast the weather using a bunch of different physics and mathematical equations? They use these equations to create what's known as numerical weather models to predict ...