Abstract: The frame structure optimization of unmanned helicopter is an important way to reduce the weight of the helicopter under the premise of meeting the strength requirements. Excellent ...
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This study presents a novel technique for rapid global optimization of passive microwave circuits. Our approach leverages the properties regression models-built in the form of simplexes-constructed in ...
For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...
This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...
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