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Relaxation Methods for Network Flow Problems with Convex Arc Costs

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Linear and nonlinear programming
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On the convergence of sequential minimization algorithms
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On search directions for minimization algorithms
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A unified framework for primal-dual methods in minimum cost network flow problems
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On the convergence of a block successive over-relaxation method for a class of linear complementarity problems
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Linear and nonlinear programming.
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Distributed relaxation methods for linear network flow problems
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A Descent Numerical Method for Optimization Problems with Nondifferentiable Cost Functionals
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Distributed Asynchronous Relaxation Methods for Convex Network Flow Problems
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Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
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NETGEN: A Program for Generating Large Scale Capacitated Assignment, Transportation, and Minimum Cost Flow Network Problems
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Relaxation Methods for Minimum Cost Ordinary and Generalized Network Flow Problems
inferredcites →https://doi.org/10.1515/9781400873173openalex-snapshot
Convex Analysis
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Computational Methods in Optimization: A Unified Approach
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Combinatorial Optimization: Algorithms and Complexity.
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Nonlinear Programming: A Unified Approach.

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