Exact composition of mechanisms under multiple simultaneous DP constraints is represented as a mixture of heterogeneous compositions using a structural lemma for binary hypothesis tests.
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Distributed two-timescale design for joint short-term precoder optimization and long-term 6DMA rotation updates in multi-cell systems using inter-cell interference power constraint coordination to maximize average weighted sum-rate.
SC-DN establishes a global first-order stationary point per round and solves a mixed-integer signomial program to optimize four control variables for VFL, yielding better classification performance and lower resource use than greedy baselines on image and multi-modal data.
Distributionally robust k-means minimizes worst-case squared distance over a Wasserstein-2 ball around the empirical distribution, yielding a tractable soft-clustering algorithm with monotonic block coordinate descent and local linear convergence.
In linear systems with parametric uncertainty and Gaussian noise, MPC policy dependence on posterior covariance peaks at high uncertainty and vanishes as it contracts, with the dual controller outperforming certainty-equivalent MPC on both regulation performance and model accuracy.
A unified quadratic program combines control barrier functions from AV@R risk with risk-aware expected information gain for safe active perception in 3DGS fields.
The MPComm framework decomposes a bi-objective optimization into outer timing selection via graph search and inner power/channel allocation with asymptotic optimality, yielding up to 6x less terrestrial interference and 6dB energy savings under timeliness constraints.
A convex-relaxation plus integer-programming method reduces network diameter to 12 in 1500-satellite Walker-Delta constellations, yielding end-to-end delays under 90 ms.
A static OPF-based restoration sequence for the IEEE 9-bus system violates frequency dynamic constraints, showing that dynamic considerations are required for valid PSR plans.
AEGIS is a hierarchical optimization framework that uses volatility-adjusted momentum and minimax correlation to generate asymmetric alpha with reduced drawdowns in backtests.
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