Simulation and modeling of natural processes | 自然过程的仿真与建模 | Python | ABM

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Coursera Simulation and modeling of natural processes by University of Geneva.
Energy system | Power system planning | carbon emission
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objectives and background
11:46
modeling and simulation
13:10
modeling space and time
15:17
example of bio-medical
09:19
MC methods I
09:25
MC methods II
15:05
MC methods III
10:40
introduction to high performance computing for modeling
04:28
concepts of code optimization
06:32
concepts of parallelism
04:21
palabos, aparallel lattice Boltzmann solver
05:07
An introduction to Python3
06:20
runing a python program
06:12
variables and data types
11:18
operators
08:38
conditional statements
07:22
loop
07:29
funtions
15:03
numpy
11:14
general introduction to dynamical systems
06:43
the random walk
14:14
growth of a pupulation
08:45
balance equations I
08:49
balance equations II
13:10
integration of ODE
07:12
error of approximation
08:10
The implicit Euler scheme
11:52
numerical interation of pde
13:09
definition and bisic concepts
16:38
historical background
09:49
a mathematical abstraction of reality
20:14
callular automata models for traffic
13:41
complex systems
20:32
Lattice-gas models
09:58
microdynamics of LGA
17:09
computational fluid dynamics overview
11:41
equations and challenges
09:30
from Lattics Gas to Lattice Boltzmann
09:54
macroscopic variables
13:38
collision step-the BGK model
12:12
streaming step
08:37
boundary conditions
21:47
flow around an obstacle
06:36
particles and point-like objects-overview
06:29
newton's laws of motion, potentials and forces
15:43
time-integration of equations of motion
10:51

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