Abstract: This article investigates distributed optimization over weakly connected digraphs (WCDGs), where unidirectional information flow structurally violates global optimality conditions and ...
Abstract: In this paper, we investigate the distributed optimization problem for heterogeneous linear multi-agent systems with unknown disturbances. To solve this problem, we propose a distributed ...
Comprehensive guide covers business strategy, operations, billing, compliance, and scaling — built for a tighter-margin ...
OpenDDE is a preview release. CLI flags, input/output JSON fields, and released checkpoints may change between versions, and predictions are not guaranteed to be reproducible across releases. It is ...
Business users can now determine the best course of action under real-world constraints and uncertainty, with input ...
OpenCode RTK Skill is a production-grade Agent Skill that makes coding agents prefer rtk command wrappers so terminal output stays compact, useful, and token-efficient. Supports: OpenCode, Claude Code ...
Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development, but in production, it ...
Arbor uses Hypothesis-Tree Refinement (HTR), which organizes optimization work into a branching tree structure of hypotheses, experiments, evidence, and insights, where each branch builds on what came ...
A free, open-source library called claude-skills has grown into the most comprehensive collection of reusable skill packages for AI coding agents, shipping more than 345 production-ready packages that ...
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