Mathematical modelling and complex systems analysis
Simulation of PK/PD
Mathematical modelling
and computer simulation
to bring the projects ahead
CANDOR simulation offers consultancy and problem
solving based on extensive experience in building valid
mathematical models of real-world problems; performing a thorough
model analysis, − and finally using the gained insight on the original problem.
Methods and tools
The toolbox comprises a series of techniques, in particular for studying dynamical systems, including
− nonlinear analysis of time series
− black box or mechanism-based models
− deterministic or stochastic models
− compartment or agent-based models
− estimation of population parameter distribution
− Monte Carlo simulation
− stability analysis
− sensitivity analysis
− confidence limits and other statistics by bootstrap
− data mining
Projects
The model-based problem-solving expertise found in CANDOR simulation is compiled from work on various projects within technical, natural, medical, and public health sciences, product development and logistics. We provide services within e.g.
− uncovering/verification of causal relations
− logistics simulation, capacity analysis ("bottleneck")
− simulation-based process control
− scenario simulation ("what if")
− optimal design of experimental studies
− optimisation in various systems
− probability calculations in "difficult" cases
− epidemics modelling
Please contact us to learn more about our background and to see case examples.
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Email: info@candorsim.dk
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