Wolfram

Tonight, I attended the Wolfram 2020 08-20 China Student Ambassador Presentation via Zoom. During the intermission, I won a grand prize of 3000RMB worth of System Modeler modeling program, which I am going to install on my MacBookPro to study various physical and biological modeling. If you are interested in Mathematica, you can attend Wolfram 2020/09/08 China Virtual Technology Conference, where many big names will be speaking. Mathematica Metaprogramming speaker’s Github address ...

Memories I still remember clearly that I was particularly interested in mathematics and theoretical physics when I graduated from junior high school, and studied advanced mathematics and basic physics on my own. After that, I was full of pleasure in exploring physics and mathematics, and every day after entering my first year of high school, I would go to the library after lunch and flip through science and technology magazines, then I participated in the National High School Students Applied Physics Knowledge Contest for the first time, and I remember the final question of the paper I used calculus to solve the problem, and when I got out of the examination room, I didn’t even think that I would get it. I was very happy at that time, and I am still very grateful to Mr. Yao, our class teacher and chemistry teacher in my first year of high school, for having seen the ranking list of science scores in his hands when I went to the school to register. He was the class representative in chemistry, and in every exam he would praise me for the clarity of the solution to a particular problem. Every Sunday, on the way to school, I would stand in the Xinhua bookstore for one to two hours to look up books and scientific materials related to relativity. ...

Wolfram 2020 08-20 China Student Ambassador Presentation The following topics are of interest to me, and I am currently starting my own business in Wolfram and Python, with Wolfram being the main language for prototyping and exploring initial ideas. After watching the following presentations, I will focus on biomedical and retinal image analysis as a deep learning research topic. 18:00-19:00 Jingxian Wang, Department of Physics, Peking University. Meta-programming Basis in Mathematica. ...

SIR Modeling The SIR classical model is mainly used in the field of infectious diseases to predict future trends in the number of infections. S[t] denotes susceptible susceptible population I[t] denotes infected population already infected R[t] indicates recovered recovered population Reference: MathWorld: SIR Model Kermack-McKendrick Model Kermack-McKendrick Model The original Kermack-McKendrick model was designed to account for changes in the number of people infected over time, like the plague that occurred in 1665-1666 and the cholera that occurred in 1865. The model assumes that the total population is fixed, that the incubation period for infectious diseases is instantaneous, that the duration of infection is the same as the disease cycle, and that the population is assumed to be non-differentiable, without differences by gender or race. ...

Why study Modelica I have seen a book “Model Thinking” before, and this time it happens to be in the CoVid-2019 disease ravaging the world, by chance I saw the prediction model SEIR about epidemiology, I took this opportunity to start studying mathematical models, and decided to pick up the mathematical analysis, ordinary differential equations, partial differential equations, differential geometry and other courses I studied in college. I came across the language Modelica, and since I had been studying Wolfram Mathematica, I was quite fond of SystemModeler of the Wolfram product line, so I started to buy the home edition of SystemModeler and purchased a book “Introduction and Improvement of Modelica Multi-Domain Physical System Modeling”. I began my exploration of Modelica with the expectation of gaining a deeper understanding of mathematical model building, using mathematical models to predict the future development pattern of an event and gaining more hidden information in quantitative data analysis. ...