Abstract: The frequency response function (FRF) is a fundamental property of a linear time-invariant system that describes the system's frequency-dependent behavior. Accurately measuring the FRF of ...

Abstract: The tensor train is a popular model for approximating high-dimensional rectangular data structures that cannot fit in any computer memory due to their size. The tensor train can approximate ...

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An Approach to Productive and Maintainable Shader Creation. Creating shaders has always been an advanced step for most developers; many game developers have never created GLSL code from scratch. The ...

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Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to ...

The estimation of stream discharge is an essential component of planning and decision-making. It is highly correlated with many development activities involving water resources. The study of ...