Abstract: This paper addresses a class of optimization problems with time-varying cost functions by proposing a fully distributed prescribed-time algorithm. The algorithm decomposes the overall ...

Rethinking Legal Department Efficiency: Strategies for Optimization and Cost Savings The challenge in-house counsel are contending with is how legal departments can transcend traditional models to ...

While I was Christmas shopping the other day, I was reminded of Christmas a few years ago when my youngest child, Matthew, was 11 or 12 years old. He insisted that all he wanted for Christmas was ...

Forbes contributors publish independent expert analyses and insights. Paul Hsieh, M.D., covers healthcare economics, innovation, and policy. It is too easy to focus on bad news and stressful events, ...

My last article on Intel Corporation (INTC) stock was published about 2 months ago on April 28, 2025. That article was titled “Intel Q1: New CEO, New Problems.” The article served as a review of the ...

Understanding the costs associated with producing green hydrogen from renewable sources is essential to evaluate its large-scale viability in a global energy context. From this perspective, Enertis ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

I had a chance to meet with Ryan Mangan, CEO of EfficientEther, a startup company based in the UK, to get a demonstration of the latest version of EtherInsights. EtherInsights is a Microsoft 365 and ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...