A novel generalization of the natural residual function and a neural network approach for the NCP
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DOI: 10.1016/j.neucom.2020.06.059
Abstract: Abstract The natural residual (NR) function is a mapping often used to solve nonlinear complementarity problems (NCPs). Recently, three discrete-type families of complementarity functions with parameter p ⩾ 3 (where p is odd) based on… read more here.
Keywords: generalization; natural residual; residual function; network approach ... See more keywords
A Hybrid Sparsity and Distance-Based Discrimination Detector for Hyperspectral Images
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DOI: 10.1109/tgrs.2017.2767068
Abstract: Hyperspectral target detection is an approach which tries to locate targets in a hyperspectral image on the condition of given targets spectrum. Many classical target detectors are based on the linear mixing model (LMM) and… read more here.
Keywords: target; sparsity; detector; residual function ... See more keywords
Bernstein polynomials method and it’s error analysis for solving nonlinear problems in the calculus of variations: Convergence analysis via residual function
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DOI: 10.2298/fil1804379b
Abstract: In this paper, Bernstein polynomials method (BPM) and their operational matrices are adopted to obtain approximate analytical solutions of variational problems. The operational matrix of differentiation is introduced and utilized to reduce the calculus of… read more here.
Keywords: analysis; bernstein polynomials; polynomials method; residual function ... See more keywords