Titlebook: Integer Programming and Combinatorial Optimization; 20th International C Andrea Lodi,Viswanath Nagarajan Conference proceedings 2019 Spring

监督

书目名称Integer Programming and Combinatorial Optimization影响因子(影响力)




书目名称Integer Programming and Combinatorial Optimization影响因子(影响力)学科排名




书目名称Integer Programming and Combinatorial Optimization网络公开度




书目名称Integer Programming and Combinatorial Optimization网络公开度学科排名




书目名称Integer Programming and Combinatorial Optimization被引频次




书目名称Integer Programming and Combinatorial Optimization被引频次学科排名




书目名称Integer Programming and Combinatorial Optimization年度引用




书目名称Integer Programming and Combinatorial Optimization年度引用学科排名




书目名称Integer Programming and Combinatorial Optimization读者反馈




书目名称Integer Programming and Combinatorial Optimization读者反馈学科排名

separate

射手座

Ross Anderson,Joey Huchette,Christian Tjandraatmadja,Juan Pablo Vielma

节省

fetter

ligature

Strong Mixed-Integer Programming Formulations for Trained Neural Networks,mulation, (2) decreases the solve time of a state-of-the-art MIP solver by a factor of 7 on smaller instances, and (3) nearly matches the dual bounds of a state-of-the-art MIP solver on harder instances, after just a few rounds of separation and in orders of magnitude less time.

发电机

PANIC

Improving the Integrality Gap for Multiway Cut,a non-trivial 3-dimensional instance that overcomes this technical challenge. We analyze the gap of the instance by viewing it as a convex combination of 2-dimensional instances and a uniform 3-dimensional instance. We believe that this technique could be exploited further to construct instances wit

BLANK

-sparsity Approximation Bounds for Packing Integer Programs,rast to this negative result, as soon as width is strictly larger than one, we obtain positive results via the natural LP relaxation. For PIPs with width . where ., we obtain an .-approximation. In the large width regime, when ., we obtain an .-approximation. We also obtain a .-approximation when ..

Mobile

A General Framework for Handling Commitment in Online Throughput Maximization,st be made before a job’s slack becomes less than a .-fraction of its size, we prove a competitive ratio of ., for .. When a scheduler must commit upon starting a job, our bound is .. Finally, we observe that for scheduling with commitment the restriction to the “unweighted” throughput model is esse