singlelink_gas

很少见的讲述matlab中S函数的功能，以及编写方法(Rare about the S-function in matlab function, and the preparation method)

《基于平均功率受限和有约束条件注水原理的MIMO联合自适应调制和功率分配算法的主要源代码》(" Based on the average power is limited and bound by the conditions of injection of the principle of joint MIMO adaptive modulation and power allocation algorithm is the main source code" )

说明：  调度问题中的粒子群优化方法及其应用研究 调度问题中的粒子群优化方法及其应用研究(Scheduling Particle Swarm Optimization Method and Its Application Scheduling Particle Swarm Optimization Method and Its Application)

说明：  直齿轮副啮合刚度计算，周期刚度，包含单双齿啮合。(Spur gear pair meshing stiffness calculation, including single and double tooth meshing.)

超声IUVS图像需要画边缘，手工画点，自动平滑(Need to draw the ultrasound IUVS image edge, hand-painted point, automatic smooth)

利用matlab软件对图形进行模糊处理，得到运动模糊图像(Using matlab software graphics obfuscated to get motion-blurred images)

信号处理，利用滑动平均自回归技术处理平稳信号(ARMA )

this is the code for factorial, fft, fftsine

MALAB写的，分支定界法求解纯整数或混合的整数规划问题。(Written MALAB, branch and bound method to solve pure integer or mixed integer programming problem.)

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C