Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...
Aerospace and Mechanical Insider on MSN
Reinforcement learning tames confined cylinder wakes
In fluid dynamics, the wake behind a cylinder can exhibit complex vortex shedding, a phenomenon that becomes even more ...
Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
Abstract: In this article, we explore the use of gradient-based optimization algorithms for automated bias control in Mach–Zehnder modulators (MZMs). We present and demonstrate, experimentally, five ...
A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...
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