Convex Analysis and Minimization Algorithms
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Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research.
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Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research.
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Convex Analysis may be considered as a refinement of standard calculus, with equalities and approximations replaced by inequalities. Minimization algorithms, more specifically those adapted to non-differentiable functions, provide an immediate application of convex analysis to various fields related to optimization and operations research.
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