In this paper, we are concerned with the sequence quadratic programming (SQP) methods for solving constrained optimization problems., 利用二次规划技术，给出线性约束最优化问题的一个超线性收敛的可行方向法。 2025-11-02 07:43:39 Myers (in ...

Abstract: In this paper, a class of distributed optimization problems for multi-agent systems subject to time-varying coupling equality constraint is investigated. The global objective function is a ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...

Abstract: A multi-agent trajectory optimization method for differentially flat systems under the effect of uncertainties is proposed. Multi-agent and obstacle collision avoidance constraints, ...

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AI buzz is everywhere. Take a look at how you can begin to prepare for the future of process-control AI by following these ...

Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...

AI's energy demands are creating profit pools in the unglamorous businesses that deliver electricity to data centers.

Soujanya Reddy Annapareddy earned a 2025 Global Recognition Award for an edge AI framework that delivers real-time fault ...

Quantum computing stocks are swiftly becoming the next big theme within the artificial intelligence (AI) megatrend.