北京大學(xué)ACM題 Here is a geometric problem. You have an angle and some squares in the first quadrant of the plane rectangular coordinates. The vertex of the angle is fixed on the origin O of the coordinates, and both of its radial lines are specified by the input. The sizes of the squares are also specified by the input, and the squares can shift vertically and horizontally. Now your job is to use the squares and the radial lines of the angle to enclose the maximum area, which excludes the area of the squares (see Figure 1). You should note that the edges of the squares must be parallel to the axes.
標(biāo)簽： geometric quadrant problem squares
上傳時(shí)間： 2013-12-25
上傳用戶：ynzfm
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
標(biāo)簽： CENTRES KMEANS OPTIONS cluster
上傳時(shí)間： 2014-01-07
上傳用戶：zhouli
％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％
標(biāo)簽： multidimensional estimation algorithm Gaussian
上傳時(shí)間： 2013-12-03
上傳用戶：我們的船長(zhǎng)
％ decode with soft-input viterbi algorithm 硬判決 ％ //k=4,r=1/2 ％輸入數(shù)據(jù)為軟信息，并且數(shù)據(jù)為均值為1的BPSK調(diào)制，如果均值為MEAN,那么62,63,103,104行應(yīng)做相應(yīng)修改
標(biāo)簽： soft-input algorithm viterbi decode
上傳時(shí)間： 2014-10-28
上傳用戶：aig85
witness得基礎(chǔ)模型，適合初學(xué)者，這一包有tank,shift,timeseries,和將報(bào)表弄出來(lái)的訓(xùn)練模型
上傳時(shí)間： 2014-01-02
上傳用戶：66666
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
標(biāo)簽： Matlab-interfaces inference interface the
上傳時(shí)間： 2016-08-27
上傳用戶：gxrui1991
以filemon開(kāi)源代碼為模板，加以修改，增加界面控制程序，可以添加指定文件加以保護(hù)（禁止被shift+del刪除）。
標(biāo)簽： filemon 開(kāi)源 代碼 模板
上傳時(shí)間： 2014-01-05
上傳用戶：lvzhr
ZLG7290B 是廣州周立功單片機(jī)發(fā)展有限公司自行設(shè)計(jì)的數(shù)碼管顯示驅(qū)動(dòng)及鍵盤(pán)掃描 管理芯片。能夠直接驅(qū)動(dòng)8 位共陰式數(shù)碼管（或64 只獨(dú)立的LED），同時(shí)還可以掃描管理 多達(dá)64 只按鍵。其中有8 只按鍵還可以作為功能鍵使用，就像電腦鍵盤(pán)上的Ctrl、Shift、 Alt 鍵一樣。另外ZLG7290B 內(nèi)部還設(shè)置有連擊計(jì)數(shù)器，能夠使某鍵按下后不松手而連續(xù)有 效。采用I2C 總線方式，與微控制器的接口僅需兩根信號(hào)線。該芯片為工業(yè)級(jí)芯片，抗干擾 能力強(qiáng)，在工業(yè)測(cè)控中已有大量應(yīng)用。
上傳時(shí)間： 2013-12-02
上傳用戶：evil
ClustanGraphics聚類(lèi)分析工具。提供了11種聚類(lèi)算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis)
標(biāo)簽： ClustanGraphics Complete Neighbor Linkage
上傳時(shí)間： 2014-01-02
上傳用戶：003030
A Module-based Wireless Node (MW-Node) is a Node with wireless and mobile capabilities added by means of modules. It is not a new node object derived from Node. Rather it is a new layout of mostly existing components. Rationale for this new design has been presented in [1]. The MW-Node provides a flexible support for wireless and mobile networking and in particular: support for multiple interfaces/multiple channels, and a common basis for the implementation of wireless routing protocols.
標(biāo)簽： Node Module-based capabilities Wireless
上傳時(shí)間： 2013-12-26
上傳用戶：大三三
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