数学建模是写论文为什么还要会编程呢

数学建模是写论文为什么还要会编程呢

关于这个问题，数学建模需要借助计算机进行模拟和计算，编程是实现这一过程的基本技能。通过编程，可以快速地重现和验证模型，提高模型的可靠性和精度。

编程还能帮助我们更好地理解数学建模理论，扩展模型的应用场景。因此，即使是写论文，掌握编程技能也是必不可少的。

（1）模型是你建的吗？

（2）算法是你提出的吗？

（3）框架是你做的吗？

如果都不是你搞的，你只是编程，那给你个三作完全可以了

添改了一些词,有几个句子稍微改了一下顺序,有的变为从句连贯些,供参考~
Traveling Salesman Problem（TSP）is a typical NP-hard problem in combinatorial optimization field, of which the solution time is exponential with the increase of the problem scale.Since traditional optimization algorithm fails to meet demand, what based on intelligent algorithms for TSP has been a hot topic in recent years.
Simulated annealing algorithm is a random iterative optimization algorithm that combines the physical annealing process and Combinatorial Optimization,which converges to the overall optimal solution by Metropolis criteria.Using Simulated annealing algorithm to solve the TSP problem is an ideal method.
This design uses simulated annealing algorithm to solve TSP problem, and has made designs of the city's position and its algorithm rules, according to the characteristics of TSP problem and simulated annealing algorithm. A basic window is constructed based on C++, which has defined random city positions in the window. At the same time, neighborhood search methods and the Calculation of Path difference are designed to speed up algorithm speed. Experimental test results show that this design has achieved good effects.

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