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15 lines
1.1 KiB
Plaintext
15 lines
1.1 KiB
Plaintext
\BOOKMARK [0][-]{chapter.1}{Determine polynomial function fitting experimental data}{}% 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}{Linear Least Squares Problem}{section.1.2}% 4
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\BOOKMARK [2][-]{subsection.1.2.2}{Gram matrix and QR decomposition}{section.1.2}% 5
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\BOOKMARK [2][-]{subsection.1.2.3}{Gram-Schmidt algorithm}{section.1.2}% 6
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\BOOKMARK [0][-]{chapter.2}{Determine trajectory of the motion}{}% 7
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\BOOKMARK [1][-]{section.2.1}{a\) Runge-Kutta method of 4th order and Adams PC}{chapter.2}% 8
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\BOOKMARK [2][-]{subsection.2.1.1}{Problem}{section.2.1}% 9
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\BOOKMARK [2][-]{subsection.2.1.2}{Theoretical Introdution}{section.2.1}% 10
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\BOOKMARK [2][-]{subsection.2.1.3}{Adams PC method}{section.2.1}% 11
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\BOOKMARK [1][-]{section.2.2}{b\) Runge-Kutta method of 4th order with variable step size automatically adjusted}{chapter.2}% 12
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\BOOKMARK [2][-]{subsection.2.2.1}{Problem}{section.2.2}% 13
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\BOOKMARK [2][-]{subsection.2.2.2}{Theoretical Introdution}{section.2.2}% 14
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