activity
20182021
most citedHeuristic Methods and Performance Bounds for Photonic Design

25 citations · 53 across the 8 of their papers we have counts for

collaborators
Showing math.OCShow all

5 papers · 1 filter

math.OC20211 cited

Constant Function Market Makers: Multi-Asset Trades via Convex Optimization

Guillermo Angeris, Akshay Agrawal, Alex Evans +2

The rise of Ethereum and other blockchains that support smart contracts has led to the creation of decentralized exchanges (DEXs), such as Uniswap, Balancer, Curve, mStable, and Su…

math.OC20205 cited

A New Heuristic for Physical Design

Guillermo Angeris, Jelena Vučković, Stephen Boyd

In a physical design problem, the designer chooses values of some physical parameters, within limits, to optimize the resulting field. We focus on the specific case in which each p…

math.OC2020

Automatic Repair of Convex Optimization Problems

Shane Barratt, Guillermo Angeris, Stephen Boyd

Given an infeasible, unbounded, or pathological convex optimization problem, a natural question to ask is: what is the smallest change we can make to the problem's parameters such…

math.OC2019

Minimizing a Sum of Clipped Convex Functions

Shane Barratt, Guillermo Angeris, Stephen Boyd

We consider the problem of minimizing a sum of clipped convex functions; applications include clipped empirical risk minimization and clipped control. While the problem of minimizi…

math.OC20193 cited

Fast Reciprocal Collision Avoidance Under Measurement Uncertainty

Guillermo Angeris, Kunal Shah, Mac Schwager

We present a fully distributed collision avoidance algorithm based on convex optimization for a team of mobile robots. This method addresses the practical case in which agents sens…