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Generalized reduced gradient and global Newton methods

Part of the Lecture Notes in Mathematics book series (LNM,volume 1190)

Abstract

The GRG method appears well suited to numerically apply to Global Newton method to solve systems of equations. This procedure is able to find more than one solution, and can be extended to the nonlinear mathematical programming problem.

Keywords

  • Relate Field
  • Mathematical Programming Problem
  • Adjoint Matrix
  • Restoration Phase
  • Nonbasic Variable

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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© 1986 Springer-Verlag

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Abadie, J. (1986). Generalized reduced gradient and global Newton methods. In: Conti, R., De Giorgi, E., Giannessi, F. (eds) Optimization and Related Fields. Lecture Notes in Mathematics, vol 1190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0076700

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  • DOI: https://doi.org/10.1007/BFb0076700

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16476-0

  • Online ISBN: 978-3-540-39817-2

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