【项目4869】matlab编程Robust Optimisation的方式结合TB和BL模型将20支股票及无风险利率产品的投资组合进行优化的方式 并且以夏普值等数据评价其优劣源码程序,该程序通俗易懂,适应力较强,可运行出结果,程序清晰,算法明确,包括程序说明文件 程序源码 测试数据等文件。[Project 4869] Robust Optimisation of matlab programming combines TB and BL models to optimize the investment portfolio of 20 stocks and risk-free interest rate products, and evaluates their pros and cons source code using Sharpe and other data. This program is easy to understand, Strong adaptability, the results can be run, the program is clear, the algorithm is clear, including the program description file program source test data and other documents.