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Combining simulations and experiments - a perspective on maximum entropy methods.
Stöckelmaier J, Oostenbrink C.
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Lagrangian relaxation graph matching
Pattern Recognition, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bin Luo, Xiaochun Cao, Jin Tang
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Lagrangian relaxation in the multicriterial routing
IEEE Africon '11, 2011Communications networks routing is not a new subject. However, with a growth of packet networks and the increase of their range and importance, the task of conveying information over the web has grown beyond its original shape and has become far more sophisticated. It is no longer computer scientists and the military that make use of the global network
Krzysztof Stachowiak +2 more
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A nonlinear optimization by Lagrangian relaxations
ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445), 2002Finding consistent and realistic reorder intervals for each item in large-scale production-distribution systems is formulated as a large-scale nonlinear programming problem. A model is presented and a Lagrange multiplier method of solution is used.
Naser Mollaverdi +1 more
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Railway Timetabling Using Lagrangian Relaxation
Transportation Science, 1998We present a novel optimization approach for the timetabling problem of a railway company, i.e., scheduling of a set of trains to obtain a profit maximizing timetable, while not violating track capacity constraints. The scheduling decisions are based on estimates of the value of running different types of service at specified times.
Ulf Brännlund +3 more
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Convergence of the Surrogate Lagrangian Relaxation Method
Journal of Optimization Theory and Applications, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mikhail A. Bragin +4 more
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Constraint-Based Lagrangian Relaxation
2014This paper studies how to generalize Lagrangian relaxation to high-level optimization models, including constraint-programming and local search models. It exploits the concepts of constraint violation (typically used in constraint programming and local search) and constraint satisfiability (typically exploited in mathematical programming).
Daniel Fontaine +2 more
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Lagrangian relaxation for gate implementation selection
Proceedings of the 2011 international symposium on Physical design, 2011In a typical circuit optimization flow, one essential decision is to select the implementation for each gate according to a cell library. An implementation implies specific gate size, threshold voltage, etc. The selection normally needs to handle multiple and often conflicting objectives.
Yi-Le Huang, Jiang Hu 0001, Weiping Shi
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A Lagrangian relaxation network for graph matching
IEEE Transactions on Neural Networks, 1996A Lagrangian relaxation network for graph matching is presented. The problem is formulated as follows: given graphs G and g, find a permutation matrix M that brings the two sets of vertices into correspondence. Permutation matrix constraints are formulated in the framework of deterministic annealing.
Anand Rangarajan 0001, Eric Mjolsness
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