The generation of electricity from heat, also known as thermoelectric energy conversion, has proved to be advantageous for ...

An advanced solution is to apply distributed optimization by integrating intelligent nodes across a network. This paper deals with distributed optimization via the event-triggered (ET) consensus ...

Iqbal, S., Yaqoob, N. and Gulistan, M. (2023) Multi-Objective Non-Linear Programming Problems in Linear Diophantine Fuzzy Environment. Axioms, 12, Article 1048.

The verbose programming language felt like a universal form of communication—until it didn’t.

Safety+ is an open data architecture for agile, transparent programming of safety functions, which adds flexibility in choosing programming languages and data types, enables efficient interaction with ...

Objective: This study aims to explore the association between alcohol intake and cognitive function in elderly Americans, including potential nonlinear relationships and interactions across different ...

I would like to compare the qParEGO function for a multi-objective optimization with the qEHVI function. The only possibility I have discovered so far is via get_MOO_PAREGO and get_MOO_EHVI, which are ...

🐛 Describe the bug torch.compile breaks graph with unsupported filter function for the following example: import torch import torch._dynamo as dynamo def toy_example(inputs): out = inputs[0] for in ...