Search for dissertations about: "Stefan Engblom"
Showing result 1 - 5 of 8 swedish dissertations containing the words Stefan Engblom.
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1. Numerical methods for the chemical master equation
Abstract : The numerical solution of chemical reactions described at the meso-scale is the topic of this thesis. This description, the master equation of chemical reactions, is an accurate model of reactions where stochastic effects are crucial for explaining certain effects observed in real life. READ MORE
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2. Numerical Solution Methods in Stochastic Chemical Kinetics
Abstract : This study is concerned with the numerical solution of certain stochastic models of chemical reactions. Such descriptions have been shown to be useful tools when studying biochemical processes inside living cells where classical deterministic rate equations fail to reproduce actual behavior. READ MORE
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3. Parallelism and efficiency in discrete-event simulation
Abstract : Discrete-event models depict systems where a discrete state is repeatedly altered by instantaneous changes in time, the events of the model. Such models have gained popularity in fields such as Computational Systems Biology or Computational Epidemiology due to the high modeling flexibility and the possibility to easily combine stochastic and deterministic dynamics. READ MORE
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4. Parallelism in Event-Based Computations with Applications in Biology
Abstract : Event-based models find frequent usage in fields such as computational physics and biology as they may contain both continuous and discrete state variables and may incorporate both deterministic and stochastic state transitions. If the state transitions are stochastic, computer-generated random numbers are used to obtain the model solution. READ MORE
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5. Mechanisms of Olfactory sensory neuron class maintenance in Drosophila : It is all about design and equilibrium
Abstract : How the cellular diversity of our body is generated and maintained is still a great mystery regardless of the wealth of research that has been done on this issue. The greatest complexity is found in the nervous system that contains a vast number of neurons and displays a great diversity in cell types and classes. READ MORE