Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Robotics, Optimization, and Constrained Control The ROCC group is currently on the lookout for talented graduate students interested in learning how systems and controls theory can be used to solve a ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

In aerospace applications, high-temperature shape memory alloys (HTSMAs)—materials capable of remembering and returning to ...

450-2IEMS 450-2: Mathematical Optimization II VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Linear Algebra and Calculus, Basic programming skills in Matlab or Python Description Algorithms and ...

The algorithm used for nonlinearly constrained quasi-Newton optimization is an efficient modification of Powell's (1978, 1982) Variable Metric Constrained WatchDog (VMCWD) algorithm. A similar but ...

Nonetheless, designing a drug product formulation that achieves the desired properties of the target profile both in magnitude and robustness is a multi-dimensional, and generally, constrained ...

To examine the properties of the new formulation, we carry out empirical experiments that reveal certain benefits in applying the proposed factor-risk-constrained portfolioselection formulation in ...