Open MichalisPanayides opened 4 years ago
What has been done:
Markov Chain:
Latex:
Python:
Numerical approach functiton takes as arguement integration_function for odeint or solve_ivp
integration_function
odeint
solve_ivp
Algebraic approach function takes as arguement algebraic_function for solve or lstsq
algebraic_function
solve
lstsq
Built function that turns symbolic transition matrix into numeric
Steady state expressions as functions of π
Simulation:
brentq
To be discussed:
[x] Review performance measure expressions
[x] np.mean() and np.nanmean() functions
[x] Individuals stuck in system. Use cool down time for simulation?
To be done:
Compare Markov chain with Simulation results
Obtain expression for proportion of patients within target
Modularise and make tests
What has been done:
Markov Chain:
Latex:
Python:
Numerical approach functiton takes as arguement
integration_function
forodeint
orsolve_ivp
Algebraic approach function takes as arguement
algebraic_function
forsolve
orlstsq
Built function that turns symbolic transition matrix into numeric
Steady state expressions as functions of π
Simulation:
brentq
to find optimal ambulances distributon between two hospitalsTo be discussed:
[x] Review performance measure expressions
[x] np.mean() and np.nanmean() functions
[x] Individuals stuck in system. Use cool down time for simulation?
To be done:
Compare Markov chain with Simulation results
Obtain expression for proportion of patients within target
Modularise and make tests