Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 47)
Descent methods in optimization for finding a local minimum of a function f ∈ C ∞ (ℝ n , ℝ) are usually based on gradient techniques.
KeywordsVector Field Singular Point General Position Phase Portrait Unstable Manifold
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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© Springer Science+Business Media Dordrecht 2001