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In this book we determine the Eigen values and Eigen vectors of a square matrix by a new approach.This considers all the roots with their multiplicities are known,using only the simple matrix multiplication of a vector. This process doesn't even require matrix inversion. This technique will be useful in many Pattern recognition, AI, Machine learning, Bioinformatics problems which will need computationally efficient techniques.

Produktbeschreibung
In this book we determine the Eigen values and Eigen vectors of a square matrix by a new approach.This considers all the roots with their multiplicities are known,using only the simple matrix multiplication of a vector. This process doesn't even require matrix inversion. This technique will be useful in many Pattern recognition, AI, Machine learning, Bioinformatics problems which will need computationally efficient techniques.
Autorenporträt
¿V.V. HaraGopal,Visiting Professor,BITS Pilani Hyderabad Campus,has 35 years of teaching and research experience and guided 22 PhD students and published around 100 publications. He retired from Osmania University. ¿Dr.Raghuram Prasad is recepient of UGC(NET) & published around 4 publications and presently teaching in a reputed Deeksha Institute.