The Rightsizing Illusion: Why Cloud-Native Cost Optimization Keeps Failing

It’s the predictable outcome of most cost optimization programs for cloud-native infrastructure. Rightsizing focuses on the ...

MEXT Introduces AI-Driven Memory Optimization to Help Curb Rising Infrastructure Costs

As AI infrastructure drives an unprecedented surge in memory demand, DRAM has become the scarcest and most expensive resource in computing. Today, MEXT announced Predictive Memory(TM), a breakthrough ...
IEEE

A Distributed Penalty-Like Function Approach for the Nonconvex Constrained Optimization Problem

Abstract: This letter addresses distributed nonconvex constrained optimization problems, where both the local cost function and the inequality constraint function are nonconvex. Firstly, the global ...
Scientific Research Publishing

On Nonlinear Optimal Control Problems under State Constraint ()

We study some nonlinear optimal control problems under state constraint. We construct extremal flows by differential-algebraic equations to solve an optimal control problem subject to mixed ...