地震反演程序inversion

说明：  MATPOWER is a package of free, open-source Matlab-language M-files for solving steady-state power system simulation and optimization problems, such as: power flow (PF), continuation power flow (CPF), extensible optimal power flow (OPF), unit commitment (UC) and stochastic, secure multi-interval OPF/UC. It is intended as a simulation tool for researchers and educators that is easy to use and modify. MATPOWER is designed to give the best performance possible while keeping the code simple to understand and modify.

关于海洋能源的介绍，里面有来发海洋能源的现状、海洋能源的利弊、海洋能源的应用，里面有波浪能、潮汐能(sea resources with application and classification)

executed program for temperature reading of cs5463

abaqus焊接高斯热源子程序for文件，能运行的(ABAQUS welding Gauss heat source subroutine for file, able to run)

在水利水电工程中，计算水轮机中的水力学问题(Water Conservancy and Hydropower Engineering, calculation of water turbine mechanical problems)

说明：  用于新型空调平行流换热器的matlab程序设计(Matlab programming for new heat exchangers)

用于地震射线追踪，并且适合复杂地质结构，多次运用取得良好效果。(For seismic ray tracing, and suitable for the complex geological structure, applied and achieved good results.)

TE故障数据，用于进行PCA处理与化工行业的数据故障诊断。(TE FAULT DATA)

该文件是优秀论文并带有相应的源码。在Matlab软件平台上，对所提出的基于遗传算法的电力系统电力市场分段竞价交易算法进行了阶梯型报价曲线、线性报价曲线这两种常用报价曲线情况下的算例验证，计算结果显示算法的寻优效果因报价曲线性质的不同而略有区别，但两种情况均可得到优化的购电费用。实验结果证明了该算法应用于分段竞价模型的有效性和可行性，且不受报价曲线形式的限制。(The document is an excellent paper with a corresponding source code. In the Matlab software platform for the proposed genetic algorithm-based power systems market segment auction algorithms offer ladder-type curve, the two commonly used linear bidding curve bidding curve example in case of validation, the results show algorithm optimization results for the different nature of bidding curve slightly different, but both cases can be optimized for power purchase costs. Experimental results show that the algorithm is applied to sub-effectiveness and feasibility of bidding model, and is not limited form of bidding curve.)

说明：  双馈风力发电机模型，可实现多种情况下的暂态仿真。(Model simulation of doubly fed wind turbine)