5 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
Solving machine learning optimization problems using quantum computers
Venkat R. Dasari, Mee Seong Im, Lubjana Beshaj
Classical optimization algorithms in machine learning often take a long time to compute when applied to a multi-dimensional problem and require a huge amount of CPU and GPU resourc…
Weighted greatest common divisors and weighted heights
Lubjana Beshaj, Jaime Gutierrez, Tony Shaska
We introduce the weighted greatest common divisor of a tuple of integers and explore some of it basic properties. Furthermore, for a set of heights $\mathfrak w=(q_0, \ldots , q_n)…
Isogenous components of Jacobian surfaces
Lubjana Beshaj, Artur Elezi, Tony Shaska
Let be a genus 2 curve defined over a field , $\mbox{char} K = p \geq 0$, and $\mbox{Jac} (\mathcal X, ι)$ its Jacobian, where is the principal polarization of…
Optimization problems with low SWaP tactical Computing
Mee Seong Im, Venkat R. Dasari, Lubjana Beshaj +1
In a resource-constrained, contested environment, computing resources need to be aware of possible size, weight, and power (SWaP) restrictions. SWaP-aware computational efficiency…