Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

Research paper by Bjørnar Luteberget and Giorgio Sartor wins 2024 FICO® Xpress Best Paper Award; the algorithm is now in FICO® Xpress Solver “When solving a very large computational problem, ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Ising machines repeatedly updating binary variables until the system reaches a low-energy configuration that achieves a good ...

Like most engineers, I find myself drawn to complex puzzles. And the more complicated the problem, the more intrigued I am to solve it. This love for problem-solving was nurtured at a very young age.

NVIDIA has filed a new patent that will let developers consult AI models like a chatbot to request diagnostics of existing ...

A FinOps case study from Orange has been published on the GCP blog. As a success story.However, the essence of this article is as follows.It merely temporarily avoided the structural problem of 'engin ...