A Polynomial Time Approximation Scheme for the Multiple Knapsack Problem

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Chekuri, Chandra, and Sanjeev Khanna. “A Polynomial Time Approximation Scheme for the Multiple Knapsack Problem”. SIAM Journal on Computing, vol. 35, no. 3, 2005, pp. 713-28, https://doi.org/10.1137/s0097539700382820.
Chekuri, C., & Khanna, S. (2005). A Polynomial Time Approximation Scheme for the Multiple Knapsack Problem. SIAM Journal on Computing, 35(3), 713-728. https://doi.org/10.1137/s0097539700382820
Chekuri, Chandra, and Sanjeev Khanna. “A Polynomial Time Approximation Scheme for the Multiple Knapsack Problem”. SIAM Journal on Computing 35, no. 3 (2005): 713-28. https://doi.org/10.1137/s0097539700382820.
Chekuri C, Khanna S. A Polynomial Time Approximation Scheme for the Multiple Knapsack Problem. SIAM Journal on Computing. 2005;35(3):713-28.
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Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
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Refrences
Title Journal Journal Categories Citations Publication Date
Computers and intractability 1979
Approximation algorithms for the m-dimensional 0–1 knapsack problem: Worst-case and probabilistic analyses European Journal of Operational Research
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
68 1984
10.1007/BFb0121195
10.1137/S1052623493254455
10.1007/BF02579456
Citations
Title Journal Journal Categories Citations Publication Date
Approximation Algorithms for the MAXSPACE Advertisement Problem Theory of Computing Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process

Applied Computational Intelligence and Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Core-Pricing in Large Multi-Object Auctions: A Market Design for Selling TV-Ads SSRN Electronic Journal 2013
Dedicated Transportation Subnetworks: Design, Analysis, and Insights SSRN Electronic Journal 2012
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Dedicated Transportation Subnetworks: Design, Analysis, and Insights and was published in 2012. The most recent citation comes from a 2024 study titled Approximation Algorithms for the MAXSPACE Advertisement Problem. This article reached its peak citation in 2024, with 1 citations. It has been cited in 3 different journals, 33% of which are open access. Among related journals, the SSRN Electronic Journal cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year