Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

STG-DMD (Sparse-Coded Time-Delay Graph Dynamic Mode Decomposition) is a data-driven framework for modeling nonlinear dynamics on graph structures. It integrates: Dynamic Mode Decomposition (DMD) ...

Graph-based methods addressing this issue often employ graph augmentation, but not every augmentation technique is effective in EEG graphs (10), as some may compromise underlying brain region ...

Linear functions, graphs and equations Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant.

Fan, E. (2000) Extended Tanh-Function Method and Its Applications to Nonlinear Equations. Physics Letters A, 277, 212-218.

We present and benchmark quantum computing approaches for calculating real-time single-particle Green’s functions and nonlinear susceptibilities of Hamiltonian systems. The approaches leverage ...

By introducing an improved ETC strategy, unnecessary resource waste is reduced. The following is a summary of the contributions made by this research paper: 1) to solve the coupling problem of ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

The discovery overturns more than a century of physics orthodoxy by identifying a new form of energy that can be extracted from ambient heat using graphene. Obtaining useful work from random ...