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Authors: Baranoski, G.
Bramley, R.
Rokne, J.
Keywords: Computer Science
Issue Date: 1-May-1997
Abstract: The convergence of iterative methods used to solve the radiosity system of linear equations depends on the distribution of the eigenvalues of the radiosity coefficient matrix. In this paper we prove that all eigenvalues of the radiosity coefficient matrix are real and positive. This fact may allow us to obtain fast radiosity solutions using the knowledge about the spectrum of the matrix. Moreover, the physical meaning of the eigenvectors in global illumination applications is an open problem in graphics. In order to contribute to the clarification of this question, we present some experiments based on the theory of matrices, in which we show interesting features of using eigenvectors as solution vectors in graphic settings.
Appears in Collections:Rokne, Jon

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