Abstract
In this chapter, we analyze the computational complexity and feasibility of yet another computational problem in which interval methods are often used: solving systems of equations. It turns out that already for systems of quadratic equations, solving these systems is NP-hard.
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© 1998 Springer Science+Business Media Dordrecht
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Kreinovich, V., Lakeyev, A., Rohn, J., Kahl, P. (1998). Solving Systems of Equations. In: Computational Complexity and Feasibility of Data Processing and Interval Computations. Applied Optimization, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2793-7_18
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DOI: https://doi.org/10.1007/978-1-4757-2793-7_18
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4785-7
Online ISBN: 978-1-4757-2793-7
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