Abstract: In many areas of knowledge, situations in which we have to model and solve optimization problems are recurrent. Among the mathematical theories that support the solution of such problems, ...

Abstract: Since its first use by Euler on the problem of the seven bridges of Königsberg, graph theory has shown excellent abilities in solving and unveiling the properties of multiple discrete ...

CVXPY is an open source Python-embedded modeling language for convex optimization problems. It lets you express your problem in a natural way that follows the math, rather than in the restrictive ...

Android OEMs have been notorious for killing apps in the background. Particularly, MIUI has had an aggressive optimization approach to battery optimization in the past. It prefers preserving a small ...

flacco is a collection of features for Explorative Landscape Analysis (ELA) of single-objective, continuous (Black-Box-)Optimization Problems. It allows the user to quantify characteristics of an ...

Optimization drives advances in quantum science and machine learning, yet most generative models aim to mimic data rather than to discover optimal answers to challenging problems. Here we present a ...

What is SEO? At its core, the meaning of search engine optimization (SEO) is increasing your website’s visibility in the organic search results of major search engines. To get that visibility, you ...

Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA), one of the most representative quantum-classical ...

Battery technology plays a crucial role in meeting the ever-increasing demand for efficient and sustainable energy storage solutions. The constant need for better batteries necessitates comprehensive ...

Yash is an aspiring computer science student who loves to build things and write about all things tech. In his free time, he likes to play Squash, read a copy of the latest Murakami, and hunt dragons ...