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العنوان
Singular value decomposition of a matrix its computation and some applications related to linear control systems/
الناشر
Mohamed Ahmed Shalaby,
المؤلف
Shalaby, Mohamed Ahmed.
هيئة الاعداد
باحث / Mohamed Ahmed Shalaby
مشرف / Youssef Z. Boutros
مشرف / Ibrahim Abd El-Salam
مشرف / Z. Boutros
الموضوع
Engineering Mathematics. Linear control systems.
تاريخ النشر
1985 .
عدد الصفحات
iii, 119 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة
تاريخ الإجازة
1/1/1985
مكان الإجازة
جامعة الاسكندريه - كلية الهندسة - Engineering Mathematics
الفهرس
Only 14 pages are availabe for public view

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Abstract

One of the basic and most important tools of modern numerical analysis, particularly numerical linear algebra, is the Singular Value Decomposition (SVn) of a general matrix [31]. SVD was established for real square matri¬ces in the 1870’s by Beltrami and Jordan [33], for complex square matrices by Auttone [5], and for general rectangular matrices by Eckart and Young [15] (the Auttone-Eckart_Young theorem). Computation of SVD is a highly non-trivial problem in numerical analysis [28], it was attacked in 1970
by Golub and Reinsch [22] and this was the first and only attempt [31]
up till now.