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Fermé·Moins de 500 €·4 offres·862 vues·9 interactions
Ph.D in Applied and Computational Mathematics is preferable.
This is not a Matlab work.
PART 0
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a- Building a prototype with Python Scipy RK45 with one model variation.
b- Cross-check with two or three other numerical methods.
Delivery : Python code with data visualization
Development environment : Jupyterhub
PART 1
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Python Scipy RK45 numerical analysis of a discretized second order differential equation with four model variations.
The discretization comes from the ode variable coefficients which are depending upon time-series in the millisecond range. The same time domain is applied for both numerical analysis and time-series that means a mapping so the frequency in time series determine the runge-kutta step size.
The purpose of this work is to explore the scipy RK45 numerical method applied to the discretized differential equation and to determine which time resolution must be used in function of the numerical error value.
PART 2
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Data Visualization of the solution : Plotly and cufflinks for chart building.
PART 3
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Data visualization of some parameters calculated from the solution.
Skills and expertise
Data Visualization Mathematics Matplotlib Plotly Python Python Numpy Python Pandas Python SciPy Time Series Analysis
Budget indicatif : Moins de 500 €
Publication : 23 novembre 2019 à 23h41
Profils recherchés : Développeur Python freelance
4 freelances ont répondu à ce projet
2 propositions de devis en moins de 2h
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