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A minimal residual algorithm based on the idea of the classical CG method for the inconsistent matrix equation AXB + CYD = E is constructed in this paper. By this method, the minimum norm least squares solution for anti-symmetric matrices can be obtained within finite iteration steps by choosing a special kind of initial iteration matrix when the matrix equation AXB + CYD = E is not consistent and...
The linear mixture model is a convenient way to describe image pixels as a linear combination of pure spectra - termed end-members. The fractional contribution from each end-member is calculated through inversion of the linear model. Despite the simplicity of the model, a nonnegativity constraint that is imposed on the fractions leads to an unmixing problem for which it is hard to find a closed analytical...
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