Random Polynomials and Critical Points Publication Trend The graph below shows the total number of publications each year in Random Polynomials and Critical Points.

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

Understanding the underlying graph structure of a nonlinear map over a particular domain is essential in evaluating its potential for real applications. In this paper, we investigate the structure of ...

Gayathri Ramkumar, a teacher at Aurora Central High School, aims to get students talking about math. Her lessons combine strategies from the U.S. and India.

Learn about the Sikkim TET Syllabus 2025, including topic-wise syllabus, weightage, preparation tips, and more on this page.

In this letter, an efficient algorithm is presented for fitting a Gaussian signal riding on a polynomial background. It is shown that the nonlinear least-squares fitting can be transformed into a ...

ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs ParGNN is accepted by DAC 2025. ParGNN, an efficient full-batch training system for GNNs, which adopts a profiler-guided ...

Touro University treats all employees, job applicants, and students without unlawful consideration of race, ethnicity, religion, creed, color, national origin, ancestry, sex (including pregnancy, ...

The M-polynomial introduced by Deutsch and Klavzar (26) is a mathematical tool used in chemical graph theory. It plays a crucial role in determining the closed forms of many degree-based molecular ...