THE USE OF SINGULAR VALUE DECOMPOSITION IN INVERSION PROBLEM
Solution for inversion problem could be represented to d = Am , and we could apply simple procedure to get the value of m from the observation data. For an s x t matrix A which represent a data, where s > t , generally such system has no solutions, an approach to get the solution could be perform...
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| المؤلف الرئيسي: | |
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| التنسيق: | Theses |
| اللغة: | Indonesia |
| الوصول للمادة أونلاين: | https://digilib.itb.ac.id/gdl/view/15545 |
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| المؤسسة: | Institut Teknologi Bandung |
| اللغة: | Indonesia |
| الملخص: | Solution for inversion problem could be represented to d = Am , and we could apply simple procedure to get the value of m from the observation data. For an s x t matrix A which represent a data, where s > t , generally such system has no solutions, an approach to get the solution could be performed by using singular value decomposition and generalized inverse value. The system is changed into a consistent linear equations so the best solution obtained, and m acquired trough M=A+d <br />
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On the application, the pursue of m is performed in data fitting which is the result of measurement on tomography, by using singular value decomposition and generalized inverse value. |
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