Titlebook: Combinatorial Optimization -- Eureka, You Shrink!; Papers Dedicated to Michael Jünger,Gerhard Reinelt,Giovanni Rinaldi Book 2003 Springer-

痛苦一生

Sanjeev Kumar Sharma,Misha Mittal in connection with their study of the famous Hadwiger Conjecture. In this paper, I prove that the connected matching problem is NP-complete for 0-1-weighted bipartite graphs, but polytime-solvable for chordal graphs and for graphs with no circuits of size 4.

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隱士

https://doi.org/10.1007/978-981-13-6295-8plied to the combinatorial optimization problem under investigation. According to Jack Edmonds, the Greedy algorithm leads to an algorithmic characterization of matroids. We deal here with the algorithmic characterization of the intersection of two matroids. To this end we introduce two different au

GUMP

E. Fantin Irudaya Raj,M. Balaji The results of this comparison proved that branch-and-cut is the most effective method to solve hard ATSP instances. In the present paper the branch-and-cut algorithms by Fischetti and Toth [.] and by Applegate, Bixby, Chvátal and Cook [.] are considered and tested on a set of 35 real-world instanc

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E. Fantin Irudaya Raj,M. Balajive it with the bundle method. The cutting plane model at each iteration which approximates the original problem can be kept moderately small and we can solve it very quickly. We report successful numerical results for approximating maximum cut.

modish

https://doi.org/10.1007/978-981-13-9683-0r requiring known amounts of a product, and the vehicle has a given capacity and is located in a special city called depot. Each customer and the depot must be visited exactly once by the vehicle serving the demands while minimizing the total travel distance. It is assumed that the product collected

思考

Atilla El?i,Pankaj Kumar Sa,Sambit Bakshiact graph. Their proof is not constructive. Kalai [.] found a short, elegant, and algorithmic proof of that result. However, his algorithm has always exponential running time. We show that the problem to reconstruct the vertex-facet incidences of a simple polytope . from its graph can be formulated

牽連

Subhajit Das,Arun Kumar Sunaniyaer programs to optimality. This is especially true for . and . problems. However, other approaches to integer programming are possible. One alternative is provided by so-called . algorithms, in which a feasible integer solution is iteratively improved (augmented) until no further improvement is poss

甜得發(fā)膩

Atilla El?i,Pankaj Kumar Sa,Sambit Bakshialities, we obtain completely or partially known classes of inequalities like . inequalities for STSP. This provides a proof that a large subset of hyperstar inequalities which are until now only known to be valid, are indeed facets defining inequalities of STSP and this also generalizes ladder ineq

陪審團(tuán)每個人

On Ensuring Correctness of Cold Schedulerl prove some results about the facet structure of the betweenness polytope and show how facets of this polytope can be used to generate facets of the consecutive ones polytope. Furthermore, the relations with the consecutive ones polytopes will enable us to conclude that the number of facets of the