美赛/ICM综合准备资源库。包含可复用的数学建模Python代码、LaTeX/Word模板、数据分析笔记本和历年赛题组织。旨在优化竞赛流程，促进可复现研究。A comprehensive toolkit for MCM/ICM preparation. Features reusable Python code for mathematical modeling, LaTeX/Word templates, data analysis notebooks, and organized past problems. Aimed at streamlining the contest workflow and fostering reproducible research.
This project is using computer vision to calculate the respiration rate of lying dairy cows. By analyzing the difference in average pixel intensity in annotated bounding boxes and performing Fast Fourier Transform to select the most prevalent data, this model predicts the number of times a cow breathed in a 30-second interval.
整合了数学建模国赛（CUMCM）备赛和比赛过程中使用到的所有关于模型建立、代码实现以及论文撰写相关的资料文件。
C++ implementation of Black-Scholes options pricing model with Monte Carlo simulation
Report and models implementation for Problem A of SCUDEM 2024
Laboratory works on programming courses at the Institute of Physics and Technology National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
Math Modeling M3 Challenge 🏆 Forecasting Small Farmer Losses using Time Series Analysis (Prophet), Ridge Regression
Supporting Files of paper titled "Dynamic Simulation of Parkinson's Disease and ALS Propagation in the Brain: A Reaction-Diffusion on Brain Networks Approach"
Python simulations and visualizations exploring how superspreaders affect epidemic spread using spatial SIR models.
Assignment on Math Modelling
Codes I created, in python, to fit to supplied data sets and the like
Cloud infrastructure for scientific calculations
the wolfram notebooks I've created/published
A multi-dimensional graphing half-life calculator with recurring 'dose' support.
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