Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Seven mathematicians of Indian origin who have made significant contributions while working in the U.S. are featured, with a focus on their educational backgrounds. Their studies span prestigious ...

Quantum computing proves unconditional exponential speedup, paving the way for practical utility and investing opportunities.

As quantum computing capabilities accelerate, a range of PQC solutions are being evaluated for strength, implementation ...

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...

Using a graph-theoretic approach, we provide a necessary and sufficient condition for observability of a CBN with n SVs and an efficient algorithm for solving the minimal observability problem. The ...

This polynomial-time algorithm is relatively efficient. Summary Post-quantum cryptography relies heavily on mathematics related to high-dimensional lattices and their basis and on finding specific ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

The co-authors spent most of their time proving that the approach would work, and that the relaxation technique could solve the Hamiltonian-learning problem in polynomial time. Once they showed it was ...

In what follows, we want to review and discuss possibilities of a parameterized view on bypassing established complexity barriers for polynomial-time solvable problems. More specifically, we focus on ...

Two researchers have improved a well-known technique for lattice basis reduction, opening up new avenues for practical experiments in cryptography and mathematics.