Abstract: As a widely used method in signal processing, Principal Component Analysis (PCA) performs both the compression and the recovery of high dimensional data by leveraging the linear ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
This course will introduce you to problem-solving using programming. Beginning with simple tasks like evaluating mathematical expressions, calculating income-tax, to solving JEE problems (maths, ...
Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 23, No. 3 (1974), pp. 448-454 (7 pages) ...
One or more depots. A fleet of vehicles, each starting and ending at a depot. A set of customers with specific requirements. The goal is to optimize routes under given constraints (such as capacity, ...
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