Open AccessBook Chapter
Optimization and simulation
Y. Ermoliev,T. Marjanovich +1 more
- 01 Jan 1973
23
About: The article was published on 01 Jan 1973. and is currently open access. The article focuses on the topics: Multidisciplinary design optimization & Dynamic simulation.
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Citations
Reducing cache power with low-cost, multi-bit error-correcting codes
Christopher B. Wilkerson,Alaa R. Alameldeen,Zeshan A. Chishti,Wei Wu,Dinesh Somasekhar,Shih-Lien Lu +5 more
- 19 Jun 2010
TL;DR: The significant impact of variations on refresh time and cache power consumption for large eDRAM caches is shown and Hi-ECC, a technique that incorporates multi-bit error-correcting codes to significantly reduce refresh rate, is proposed.
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response
TL;DR: A compromise between the cost, and the equity of relief victims, is suggested in a stochastic linear mixed-integer programming model for integrated decisions in the preparedness and response stages in pre- and post-disaster operations.
126
Applications of stochastic modeling in air traffic management:Methods, challenges and opportunities for solving air traffic problems under uncertainty
TL;DR: A critical review of recent developments in the literature on stochastic modeling applications within aviation, with a particular focus on problems involving demand and capacity management and the mitigation of air traffic congestion is provided.
73
Analysis of data dependence of leakage current in CMOS cryptographic hardware
Jacopo Giorgetti,Giuseppe Scotti,Andrea Simonetti,Alessandro Trifiletti +3 more
- 11 Mar 2007
TL;DR: The results of this work show that leakage current can be exploited as a side channel by an attacker to extract information about the secret key in cryptographic hardware implemented in short channel CMOS technologies.
47
Vector Ordinal Optimization
TL;DR: This paper develops vector ordinal optimization, which is different from the one introduced in Ref. 1, and leads to quantifiable subset selection sizes in the multiobjective case, which supplies guidance in solving practical problems.
39
References
•Book
Introduction to Operations Research
Frederick S. Hillier,Gerald J. Lieberman +1 more
- 01 Jan 1967
TL;DR: The Simplex Method duality theory and sensitivity analysis for linear programming has been studied extensively in the field of operations research as mentioned in this paper, including the application of queueing theory inventory theory forecasting Markovian decision processes and applications decision analysis simulation.
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Introduction of Operations Research
Frederick S. Hillier,Gerald J. Lieberman +1 more
- 01 Jan 2005
TL;DR: The Simplex Method is used for solving linear programming problems, including Pert-CPM dynamic programming game theory integer programming non-linear programming Markov chains queueing theory and forecasting Markovian decision processes and applications decision analysis simulation.
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