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Removing Ill-posedness in Numerical Computation ---- GCD, JCF and Multiple Roots

Removing Ill-posedness in Numerical Computation ---- GCD, JCF and Multiple Roots. Zhonggang Zeng. April 20, 2004, University of Notre Dame. Ill-posed problems are common in applications. image restoration - deconvolution IVP for stiction damped oscillator - inverse heat conduction

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689 views • 49 slides

MIMO Communications and Algorithmic Number Theory

MIMO Communications and Algorithmic Number Theory. G. Matz joint work with D. Seethaler Institute of Communications and Radio-Frequency Engineering Vienna University of Technology (VUT). Setting the Stage. MIMO communications:

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369 views • 21 slides

Singular Value Decomposition (SVD) (see Appendix A.6, Trucco & Verri)

Singular Value Decomposition (SVD) (see Appendix A.6, Trucco & Verri). CS485/685 Computer Vision Prof. George Bebis. SVD. Any real m x n matrix A can be decomposed uniquely: U is m x n and column orthonormal (U T U=I) D is n x n and diagonal

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380 views • 10 slides

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Large condition number - PowerPoint PPT Presentation

Removing Ill-posedness in Numerical Computation ---- GCD, JCF and Multiple Roots

MIMO Communications and Algorithmic Number Theory

Singular Value Decomposition (SVD) (see Appendix A.6, Trucco &amp; Verri)

Singular Value Decomposition (SVD) (see Appendix A.6, Trucco & Verri)