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Minimum Cost Network Flow Algorithms

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Journal of the Optical Society of America A

This website uses cookies to deliver some of our products and services as well as for analytics and to provide you a more personalized experience. Click here to learn more. By continuing to use this site, you agree to our use of cookies. We've also updated our Privacy Notice. Click here to see what's new. Noting the recent network formulation of the phase unwrapping problem, we apply here some well-established ideas of network theory to formalize the problem, analyze its complexity, and derive algorithms for its solution.

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An Efficient Algorithm for Solving Minimum Cost Flow Problem with Complementarity Slack Conditions

Handbook of Optimization in Telecommunications pp Cite as. The minimal cost network flow model is defined along with optimality criteria and three efficient procedures for obtaining an optimal solution. Primal and dual network simplex methods are specializations of well-known algorithms for linear programs.

Ravindra K. Ahuja born February 20, is an Indian-born American computer scientist and entrepreneur. Ahuja specializes in mathematical modeling , state-of-the-art network optimization techniques and solving large-scale scheduling problems arising in logistics and transportation. Ahuja has provided scholarly contributions to the theory and applications of network optimization. Ahuja was born in Rampur, Uttar Pradesh , India.

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Request a copy. Download instructor resources. Additional order info. Buy this product. K educators : This link is for individuals purchasing with credit cards or PayPal only. A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications.

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Experimental Analysis of Algorithms

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