| 1. | Overdetermined systems ( more equations than unknowns ) have other issues.
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| 2. | The h-principle is the most powerful method to solve overdetermined systems.
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| 3. | Least squares can estimate an overdetermined system.
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| 4. | On Some Overdetermined Systems in Partial Derivatives.
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| 5. | If an overdetermined system has any solutions, necessarily some equations are linear combinations of the others.
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| 6. | The method of ordinary least squares can be used to find an approximate solution to overdetermined systems.
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| 7. | An overdetermined system is almost always inconsistent ( it has no solution ) when constructed with random coefficients.
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| 8. | This is a massively overdetermined system, meaning that the number of equations is much larger than the number of unknowns.
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| 9. | I'm running a least squares algorithm for multilateration compensating for error and noise, meaning I have an overdetermined system.
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| 10. | The only cases where the overdetermined system does in fact have a solution are demonstrated in Diagrams # 4, 5, and 6.
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