CHAP2_4

This program take a two sequences with differents lengths and transform in two sequences with same length with use zero padding method.

Gibbs sampling算法,生成Ising model的随机样本

梁与钢架结构，包括平面钢架与空间钢架，混合梁单元(Beams and steel structure，Including flat steel and steel space)

根据FSK调制原理 在二进制频移键控中，幅度恒定不变的载波信号的频率随着输入码流的变化而切换（称为高音和低音，代表二进制的1和0）。来做实验 (According to the principle of FSK modulation in the binary frequency shift keying, the frequency of the carrier signal amplitude constant with the change of the input stream is switched (called treble and bass, representing a binary 1 and 0). Trequinsin)

ADP算法最原始的代码，适用于2012年自适应动态规划论文(2012 JZP paper Adaptive Dynamic Programing by Counting linear system)

说明：  时间混叠信号matlab程序,是利用时间混叠信号进行循环谱估计的前提。该程序用于证明时间混叠后信号为周期信号。(Time Aliasing)

拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)

Quantization effects and array algorithms

以某些特殊函数为基将数据过程或数据系列变换为级数系列以发现它的类似频谱的特征，从而实现数据处理。(In some particular function or process the data base is converted into data series series series to discover its characteristics similar to the spectrum, to achieve data processing.)

振动仿真 vibration simulation using matlab and ansys!(Vibration Simulation vibration simulation using matlab and ansys!)