Nonlinear Programming algorithms
Part of the Springer Optimization and Its Applications book series (SOIA, volume 37)
This chapter describes algorithms that have been specifically designed for finding optima of Nonlinear Programming (NLP) problems.
KeywordsLine Search Steep Descent Minimum Point Descent Direction Golden Section
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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