On integer linear programming.
A survey of the methods of solving the integer program, max summation from j=1 to j=n of the quantity (c sub j x sub j) subject to summation, j=1 to j=n of the quantity (a sub ij x sub j) = b sub i, i=1,...,m, and x sub j = or 0 and integer (j=1,...,n) is presented. Emphasis is placed on methods developed since 1960 with many as yet unpublished methods
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This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
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Integer Linear-Exponential Programming in NP by Quantifier Elimination [PDF]
Florian Frohn, Jürgen Giesl
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Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs. [PDF]
Andreas Venzke +4 more
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Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
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Minimum flow decomposition in graphs with cycles using integer linear programming. [PDF]
Dias FHC +3 more
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Long Reads Assembly Using Integer Linear Programming
Victor Epain +3 more
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ORGANIZING BUSINESS FORUMS WITH INTEGER LINEAR PROGRAMMING
José Francisco Moreira Pessanha +1 more
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Decision-Making Method based on Mixed Integer Linear Programming and Rough Set: A Case Study of Diesel Engine Quality and Assembly Clearance Data [PDF]
Wenbing Chang +5 more
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Bridging mixed integer linear programming for truss topology optimization and additive manufacturing [PDF]
Christian Reintjes, Ulf Lorenz
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