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mathmodel2
说明： 1.1 背包问题
有一个徒步旅行者，已知他能承受的旅行背包的重量不超过a（kg）。设有n种物品可供他选择装入背包，这n种物品分别编号为1，2，…，n。其中第i种物品每件的重量为ai（kg），其使用价值（指一件第i种物品对旅行者来说所带来的好处的一种数量指标）为ci（i＝1，2，…，n）。问这位旅行者应如何选择携带这n种物品的件数，使得总价值最大？
(1.1 knapsack problem is a hikers. he is known to travel to withstand the weight of the backpack not exceed a (kg). N Species with articles for his choice loaded backpack, n product were numbered 1, 2, ..., n. I first of which product each ai of the weight (kg), its value (i refers to a section of the types of items travelers the benefits brought by a number of indicators) for the ci (i = 1, 2, ..., n). Asked how travelers who choose to bring this product to the n pieces, making the total value of the largest?)
- 2006-04-13 18:47:43下载
- 积分：1
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bottom_up_segmentation
这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。
(This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)
- 2021-03-20 16:29:18下载
- 积分：1
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rain
rain removal system from image...........................................
- 2011-09-23 20:15:03下载
- 积分：1
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gm11
灰色预测gm（1-1）算法，用于短期时间序列预测，包含残差检验等各种必要检验(Gray predicted all the necessary inspection gm (1-1) algorithm for short-term time series prediction, including residuals inspection)
- 2014-02-07 16:31:48下载
- 积分：1
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mkmpauyn
基于matlab GUI界面设计,UPAwIgD参数在matlab R2009b调试通过，本科毕设要求参见标准测试模型，对于初学者具有参考意义，AipuFFZ条件利用matlab GUI实现的串口编程例子，本程序的性能已经达到较高水平。( Based on matlab GUI interface design, UPAwIgD parameter In matlab R2009b debugging through, Undergraduate complete set requirements refer to the standard test models, For beginners with a reference value, AipuFFZ condition Use serial programming examples matlab GUI implementation, The performance of the program has reached a high level.)
- 2016-02-19 23:31:55下载
- 积分：1
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hmqing256
读取语音信号 对语音信号进行分帧 加窗 傅立叶变换 并且实现倒谱(Read the speech signal of the voice signal framing windowed Fourier transform and the realization of cepstrum)
- 2011-06-07 22:25:35下载
- 积分：1
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create-a-small-multiple-contour-plot
create a small multiple contour plot to compared contour plots of different dates with Coyote Graphics routines.
- 2014-02-01 16:30:08下载
- 积分：1
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s
说明： some code of spectral estimation method-non parametric method
- 2010-07-11 14:34:17下载
- 积分：1
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geom3d
Creation, transformations, algorithms and visualization of geometrical 3D primitives, such as points, lines, planes, polyhedra, circles and spheres.
- 2010-03-03 14:57:52下载
- 积分：1
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Bee-Algorithm
Bee colony optimization continuous
- 2013-01-22 15:07:26下载
- 积分：1
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