Decentralized multi-agent optimization usually relies on information exchange between neighboring agents, which can incur unaffordable communication overhead in practice. To reduce the communication ...

In this paper, a time-varying distributed convex optimization problem is studied for continuous-time multi-agent systems. The objective is to minimize the sum of local time-varying cost functions, ...

Convex Group, the international specialty insurance and reinsurance company, has announced its entry into the Lloyd's marketplace after the receipt of in principle approval to launch Syndicate 1984, ...

Convex sees 2024 net income hit $506m as underwriting result improves 57% 31st March 2025 International specialty insurer and reinsurer Convex Group has revealed an underwriting result for 2024 of ...

The morphological information on the very front of a spreading liquid is fundamental to our understanding of dynamic wetting. Debate has lasted for years concerning the nanoscopic local angles and the ...

Convex Group, the specialty insurance and reinsurance company, has now focused in on securing 50% more protection from its latest Hypatia Ltd. (Series 2025-1) catastrophe bond, with $150 million ...

AM Best has affirmed the Financial Strength Rating of A [Excellent] and Long-Term Issuer Credit Ratings of “a” [Excellent] with a stable outlook for Convex Group Limited’s key subsidiaries ...

The 38th annual Convex End-to-End returns on May 3, inviting participants to walk, cycle, or volunteer while supporting five local charities. A spokesperson said, “One of Bermuda’s biggest and ...

Convex Group Limited, an international specialty insurer and reinsurer, has announced its financial results for the year ended Dec. 31, 2024. The company reported a notable increase in gross ...

A new nonparametric estimate of a convex regression function is proposed and its stochastic properties are studied. The method starts with an unconstrained estimate of the derivative of the regression ...

Convex: A signature win for Lloyd’s Lloyd’s entry is a modest start for the London heavyweight but could be the beginning of something bigger.

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...