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To better reduce redundant data and improve the completeness and conciseness of existing feature data, this articleapplies the theories of fidelity and quantum computation to feature fusion and proposes a novel quantum-inspired method based on maximum fidelity.In contrast tocurrentquantum-inspired feature fusion methods,this method uses the fidelity between(More)
In the finite element method (FEM), the matrix equation can be solved either using a direct elimination method or an iterative method. The conjugate gradient (CG) is a common-used iterative method. But there are several limits in its application. In order to overcome the disadvantages, a preconditioned conjugate gradient (PCG) method based on the incomplete(More)
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