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Showing 1 to 7 of 7 for “"statistical optimization"”.

  1. Sensitivity Analysis and Forecasting in Network Epidemiology Models

    … an influenza epidemic, we use a combination of statistical, optimization and modeling techniques to either assign the epidemic to one of the cases in the library or propose parameters for modeling the epidemic. The method is presented in four steps. First, we discuss a sensitivity analysis study …

    vt Repository record for Sensitivity Analysis and Forecasting in Network Epidemiology Models (opens in a new tab)

  2. Depression of pyrite in polymetallic sulfide flotation using chitosan-grafted-polyacrylamide polymers

    … at producing less pyrite-diluted concentrates. Statistical optimization of the flotation process of MVT ore in relation to the structural characteristics of Chi-g-PAM (i.e., degree of deacetylation, weight ratio of chitosan: acrylamide, and dosage) showed that concentrates with least iron grade …

    must-thes Repository record for Depression of pyrite in polymetallic sulfide flotation using chitosan-grafted-polyacrylamide polymers (opens in a new tab)

  3. Desenvolvimento e otimização do processo de extração de pectina a partir do resíduo de maracujá da caatinga (Passiflora cincinnata Mast.) utilizando tecnologia do ultrassom de alta intensidade

    … ratio (SLR) and the sonication time, followed by statistical optimization using a central rotational composite design and response surface methodology. The maximum yield observed was approximately 10.7% low-methoxyl (LM) pectin after 15 minutes of sonication using a 1:30 SLR. After fixing these …

    brazil-ufba Repository record for Desenvolvimento e otimização do processo de extração de pectina a partir do resíduo de maracujá da caatinga (Passiflora cincinnata Mast.) utilizando tecnologia do ultrassom de alta intensidade (opens in a new tab)

  4. Techniques for VLSI Circuit Optimization Considering Process Variations

    … yield of the integrated circuits. The circuit optimization objectives namely power, area, and delay are highly correlated and conflicting in nature. The inception of variations in process parameters have made their relationship intricate and more difficult to optimize. Traditional deterministic …

    usf Repository record for Techniques for VLSI Circuit Optimization Considering Process Variations (opens in a new tab)

  5. Elemental Effects of Fe, Mo, C, and Hf (or Nb) on Solidification Behavior, Microstructure, and Weldability of High-Cr, Ni-base Filler Metals

    … of experiment methodology, were employed to statistically determine the elemental effects of Fe, Mo, Hf, and C on the solidification behavior of Ni-Cr-Fe-Hf alloys. These effects were compared to their effects in the Ni-Cr-Fe-Nb system. As a result of this investigation, optimized Ni-Cr-Fe-Hf …

    ohiolink Repository record for Elemental Effects of Fe, Mo, C, and Hf (or Nb) on Solidification Behavior, Microstructure, and Weldability of High-Cr, Ni-base Filler Metals (opens in a new tab)

  6. Mcmc- Based Optimization And Application

    … Chain Monte Carlo (MCMC) and its application in statistical optimization. The MCMC method is a class of evolutionary algorithms for generating samples from given probability distributions. In the thesis, we first focus on the methods of slice sampling and simulated annealing. While slice sampling …

    mississippi Repository record for Mcmc- Based Optimization And Application (opens in a new tab)

  7. Iterated Grid Search Algorithm on Unimodal Criteria

    The unimodality of a function seems a simple concept. But in the Euclidean space R^m, m=3,4,..., it is not easy to define. We have an easy tool to find the minimum point of a unimodal function. The goal of this project is to formalize and support distinctive strategies that typically guarantee …

    vt Repository record for Iterated Grid Search Algorithm on Unimodal Criteria (opens in a new tab)