Only when students persist on challenging tasks that are slightly beyond their level can they gain mastery of a concept ...

India’s National Quantum Mission leverages nuclear legacy to lead in quantum computing, communication, sensing, and deep-tech ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...

Hannah Cairo has solved the so-called Mizohata-Takeuchi conjecture, a problem in harmonic analysis closely linked to other ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

In 1979, Hounsfield won the Nobel Prize in Physiology or Medicine for his role in the development of computer-assisted ...

Books Received Published: 11 June 1932 Partial Differential Equations of Mathematical Physics E. T. WHITTAKER Nature 129, 850–851 (1932) Cite this article ...

Partial differential equations (PDEs) are ubiquitous to the mathematical description of physical phenomena. Typical examples describe the evolution of a field in time as a function of its value in ...

Algebra: In algebra, expressions describe relationships between numbers. Algebraic problems are equations that ask you to solve for unknown quantities, called variables.

His work involves the use of algebra to investigate geometry and symmetry, and has focused on using those ideas to find solutions for differential equations, which involve relationships between ...

JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.13 No.1, January 20, 2025 ABSTRACT: In previous papers, we proposed the important Z transformations and obtained general solutions to a ...

Similarly, doctors use mathematical models to predict heart problems with greater accuracy. These problems, called partial differential equations, are the backbone of engineering and science.