MATLAB_g

说明：  无约束极值问题 无约束极值问题的matlab求解源程序，欢迎各位下载。(Unconstrained optimization problem unconstrained extremum problem solving matlab source code, to welcome you to download.)

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

MODEM芯片内部寄存器地址，对每个寄存器进行操作，操作的数值很多，一个一个罗列下来。(MODEM chip register address for each register to operation, the operation of the values many, listing one by one down.)

This is universal codebook generator with LBG algorithm by myself.

说明：  差分方法是求解微分方程的常用方法。本程序给出了40中差分格式的源程序。(Difference method is commonly used methods for solving differential equations. This procedure gives the difference scheme of the source 40.)

PSO算法——由matlab和C++源代码组成(PSO algorithm-- from Matlab and C source code components)

利用 postreg函数可以对网络仿真的输出结果和目标输出作线性回归分析，并得到两者的相关系数，(Postreg function can use the output of network simulation results and the target output for the linear regression analysis, and with the correlation coefficient between the two,)

一则3维带理想导体边界的FDTD算法实例，老外编写的，注释很明了(A 3-D with a perfectly conducting boundary FDTD algorithm instance, foreigners written comments are clear)

可以清楚的知晓信号随时间轴和频率轴的变化，相当的方便(Can be clearly known with the axis and a frequency axis signal changes, considerable convenience)

jpeg图像压缩，好用的,matlab实现(jpeg image compression, easy to use, matlab implementation)