2021-10-27 17:40:37 +02:00
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\BOOKMARK [0][-]{chapter.1}{Problem 1 - Finding machine epsilion}{}% 1
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\BOOKMARK [1][-]{section.1.1}{Problem}{chapter.1}% 2
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\BOOKMARK [1][-]{section.1.2}{Theoretical Introduction}{chapter.1}% 3
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\BOOKMARK [2][-]{subsection.1.2.1}{Definition of machine epsilion}{section.1.2}% 4
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\BOOKMARK [2][-]{subsection.1.2.2}{Practical applications of machine epsilion}{section.1.2}% 5
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\BOOKMARK [1][-]{section.1.3}{Solution}{chapter.1}% 6
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\BOOKMARK [2][-]{subsection.1.3.1}{Matlab code}{section.1.3}% 7
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\BOOKMARK [1][-]{section.1.4}{Discussion of the result}{chapter.1}% 8
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\BOOKMARK [0][-]{chapter.2}{Problem 2 - Solving a system of n linear equations - indicated method}{}% 9
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\BOOKMARK [1][-]{section.2.1}{Problem}{chapter.2}% 10
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\BOOKMARK [1][-]{section.2.2}{Theoretical Introduction}{chapter.2}% 11
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\BOOKMARK [2][-]{subsection.2.2.1}{Transform system of equation into an upper-triangular matrix}{section.2.2}% 12
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\BOOKMARK [2][-]{subsection.2.2.2}{Backward substitution}{section.2.2}% 13
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\BOOKMARK [2][-]{subsection.2.2.3}{Partial Pivoting}{section.2.2}% 14
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\BOOKMARK [1][-]{section.2.3}{Solution}{chapter.2}% 15
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\BOOKMARK [1][-]{section.2.4}{Discussion of the result}{chapter.2}% 16
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\BOOKMARK [0][-]{chapter.3}{Problem 3 - Solving a system of n linear equations - iterative algorithm}{}% 17
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\BOOKMARK [1][-]{section.3.1}{Problem}{chapter.3}% 18
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\BOOKMARK [1][-]{section.3.2}{Theoretical introduction}{chapter.3}% 19
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\BOOKMARK [1][-]{section.3.3}{Solution}{chapter.3}% 20
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\BOOKMARK [1][-]{section.3.4}{Discussion of the result}{chapter.3}% 21
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\BOOKMARK [0][-]{chapter.4}{Problem 4 - QR method of finding eigenvalues}{}% 22
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\BOOKMARK [1][-]{section.4.1}{Problem}{chapter.4}% 23
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\BOOKMARK [1][-]{section.4.2}{Theoretical introduction}{chapter.4}% 24
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\BOOKMARK [1][-]{section.4.3}{Solution}{chapter.4}% 25
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\BOOKMARK [1][-]{section.4.4}{Discussion of the result}{chapter.4}% 26
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