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A subgradient selection method for minimizing convex functions subject to linear constraints - MaRDI portal

A subgradient selection method for minimizing convex functions subject to linear constraints (Q1092621)

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scientific article; zbMATH DE number 4020362
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A subgradient selection method for minimizing convex functions subject to linear constraints
scientific article; zbMATH DE number 4020362

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    A subgradient selection method for minimizing convex functions subject to linear constraints (English)
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    1987
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    A readily implementable subgradient algorithm is given for minimizing a convex, but not necessarily differentiable, function f subject to a finite number of linear constraints. It is shown that the algorithm converges to a solution, if any. The convergence is finite if f is piecewise linear.
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    nondifferentiable optimization
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    linearly constrained optimization
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    convex programming
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    subgradient algorithm
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    convergence
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