Students can plan their studies for board exam preparation with the official CBSE Class 12 Applied Maths syllabus (2026-27).

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...

Abstract: We study in this paper, a class of constrained linear-quadratic (LQ) optimal control problem formulations for the scalar-state stochastic system with multiplicative noise, which has various ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Abstract: A discrete-time distributed algorithm to solve a system of linear equations Ax = b is proposed with M-Fejer mappings. The algorithm can find a solution of Ax = b from arbitrary ...

In the past few years, fractional differential equations have emerged as a strong and well-organized mathematical tool in the study of many occurrences in science and engineering. Research in ...

Created with R2024a. Compatible with R2024a and later releases. You can use this live script as demonstrations in lectures, class activities, or interactive assignments outside class. Applied Linear ...

Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...

This package implements some basic numerical optimization algorithms: Nelder-Mead, Gradient Descent, Wolf Line Search and Non-Linear Conjugate Gradient methods are all provided. Interactive ...

To gain further insight we performed ultraviolet photoelectron spectroscopy (UPS) on the SAM-coated Au surfaces to measure the average work function, rather than just at the field electron emission ...

New quantum algorithms promise an exponential speed-up for machine learning, clustering and finding patterns in big data. But to achieve a real speed-up, we need to delve into the details. For twenty ...