By Panos M. Pardalos
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Built for an introductory direction in mathematical research at MIT, this article specializes in recommendations, ideas, and strategies. Its introductions to actual and intricate research are heavily formulated, and so they represent a normal advent to complicated functionality idea. beginning with an outline of the genuine quantity method, the textual content provides effects for subsets and capabilities relating to Euclidean area of n dimensions.
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Approximation and Complexity in Numerical Optimization: Continuous and Discrete Problems (Nonconvex Optimization and Its Applications) by Panos M. Pardalos