Essays about: "Complex Error Function"
Showing result 11 - 15 of 43 essays containing the words Complex Error Function.
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11. Importance Sampling in Wireless Communication Systems with Ultra-Low Error Rates
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Simulation mimics the behaviour of real world processes or the system over time. It helps us to understand the impact of modification and the effect of introducing various interventions to a system. READ MORE
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12. Improved prediction of biogas production at Uddebo wastewater treatment plant : Substrate modelling in SIMCA
University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurserAbstract : Anaerobic digestion is a complex process, dependent on multiple factors, which can be made more stable and efficient with the help of process models. A more stable process could reduce biogas torching, which increases the amount of renewable energy available for heat- and electricity production and vehicle fuel. READ MORE
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13. Pricing Complex derivatives under the Heston model
University essay from KTH/Matematik (Avd.)Abstract : The calibration of model parameters is a crucial step in the process of valuation of complex derivatives. It consists of choosing the model parameters that correspond to the implied market data especially the call and put prices. READ MORE
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14. Evaluation of Robust Model Building Tools to Improve the Efficiency of Non-linear Mixed Effect Model Building Workflows
University essay from Uppsala universitet/Institutionen för farmaciAbstract : Population PK models aim to describe the change in drug concentration over time for a specific population. The populations in population PK modelling often refer to subjects in a clinical trial of a potential drug candidate. READ MORE
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15. Symbolic Regression using Genetic Programming Leveraging Neural Information Processing
University essay from Lunds universitet/Matematik LTHAbstract : Regression analysis conducted with traditional mathematical methods can be sub-optimal if the exact model of the observed data is unknown. Evolutionary computing (EC) and deep learning (DL) are viable alternatives, since regression performed with these methods tends to be less dependent on a particular model. READ MORE