Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

The Mathematics paper follows a structured format, with Calculus, Algebra, Vectors and Three-Dimensional Geometry, and ...

CUET PG Mathematics Syllabus 2025 is designed to evaluate the aspirant’s proficiency in core mathematical concepts and ...

Practicing all solved examples from NCERT will help as around 35 marks worth questions in the exam are based on the examples.

Recurrent spiking networks that process input stimuli with optimal efficiency have key emerging properties that are similar to those of biological neural networks.

Maximize your CBSE Class 12 Mathematics score with expert strategies. Focus on chapters with higher weightage, master NCERT ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

In this article, a differential-algebraic equations (DAEs) model-based instantaneous optimal control (IOC ... Finally, considering the constraints of control input saturation, a linear complementarity ...

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods ...