Abstract: New ultrasound imaging and therapeutic modalities may require transducer designs that are not easily facilitated by conventional design guidelines and analytical expressions. This motivates ...

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This repository presents a practical deep dive into numerical optimization methods frequently used in the field of machine learning. The goal is to better understand how optimization drives model ...

Abstract: The article traces the evolution of numerical tools from the Renaissance to the present. It examines the flourishing of numerical methods and concepts in the nineteenth century, particularly ...

Multi-impulse orbital rendezvous is a classical spacecraft trajectory optimization problem, which has been widely studied for a long time. Numerical optimization methods, deeplearning (DL) methods, ...

Stochastic control problems in finance often involve complex controls at discrete times. As a result, numerically solving such problems using, for example, methods based on partial differential or ...