Polynomials is one of the most important chapters in the CBSE curriculum, carrying a weightage of around 5 marks in the board ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better.

"Greek symbols mean it’s tricky, someone is obsessed, they think of something and run to an obscure book and open it to the ...

Skinnider's work uses AI to identify chemical structures known as “metabolites” and discover how they influence health. Two ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Many important applications in global optimization, algebra, probability and statistics, applied mathematics, control theory, financial mathematics, inverse problems, etc. can be modeled as a ...

This is an introduction to the basic tools of mathematics needed to understand the relation between knot theory and quantum gravity. The book begins with a rapid course on manifolds and differential ...