Artificial intelligence has once again pushed the boundaries of what is possible. On November 14, 2025, an AI system, aptly ...

Eigenvalue problems are a cornerstone of modern applied mathematics, arising in diverse fields from quantum mechanics to structural engineering. At their heart, these problems seek scalar values and ...

Aaryan Shukla's mental maths skills stunned one and all, including Anand Mahindra. Can the technique turn your child into a prodigy too?

Optical systems employ a rich array of physical effects which are described by well-understood equations. However, for all but the simplest devices these equations are typically too complex to permit ...

The recently developed multiscale kernel of R. Opfer [Adv. Comput. Math., 25 (2006), pp. 357- 380] is applied to approximate numerical derivatives. The proposed method is truly mesh-free and can ...

The project explores the effects of spatial representations of number magnitude on children's learning of advanced arithmetic strategies, a key predictor of math achievement. A series of studies will ...

We propose a new concept which allows us to apply any numerical method of weak approximation to a very broad class of stochastic differential equations (SDEs) with nonglobally Lipschitz coefficients.

The experts of Jagranjosh.com have evolved forward to help the aspirants in attempting all the questions speedily with basic preparatory strategy. By providing basic concepts, we are trying to make ...