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vector-valued

使用遞歸實現(xiàn)N重循環(huán)

使用遞歸實現(xiàn)N重循環(huán)，這里的N是不確定的。此代碼實現(xiàn)的功能描述如下： 1. 有一個字符串的矩陣，用vector< vector< CStirng > > 表示 2. 行與行之間進行排列組合 3. 輸出所有組合的字符串

標簽： 遞歸循環(huán)

上傳時間： 2014-01-02

上傳用戶：coeus
SVDD的工具箱

SVDD的工具箱，可以很好的處理一類分類問題，詳見Support Vector Data Description一文

標簽： SVDD 工具箱

上傳時間： 2014-03-01

上傳用戶：songrui
DEV C++ 寫的一個矩陣類

DEV C++ 寫的一個矩陣類，用列主元消去法求模的。類的構造函數(shù)接收矩陣的行列值或者是一個vector<vector<double> >類型的變量。沒有用模板，數(shù)據(jù)類型是double.

標簽： DEV 矩陣

上傳時間： 2017-06-14

上傳用戶：lht618
The code performs a number (ITERS) of iterations of the Bailey s 6-step FFT alg

The code performs a number (ITERS) of iterations of the Bailey s 6-step FFT algorithm (following the ideas in the CMU Task parallel suite). 1.- Generates an input signal vector (dgen) with size n=n1xn2 stored in row major order In this code the size of the input signal is NN=NxN (n=NN, n1=n2=N) 2.- Transpose (tpose) A to have it stored in column major order 3.- Perform independent FFTs on the rows (cffts) 4.- Scale each element of the resulting array by a factor of w[n]**(p*q) 5.- Transpose (tpose) to prepair it for the next step 6.- Perform independent FFTs on the rows (cffts) 7.- Transpose the resulting matrix The code requires nested Parallelism.

標簽： iterations performs Bailey number

上傳時間： 2014-01-05

上傳用戶：libenshu01
VHDL implementation of the twofish cipher for 128,192 and 256 bit keys. The implementation is in li

VHDL implementation of the twofish cipher for 128,192 and 256 bit keys. The implementation is in library-like form All needed components up to, including the round/key schedule circuits are implemented, giving the flexibility to be combined in different architectures (iterative, rolled out/pipelined etc). Manual in English is included with more details about how to use the components and/or how to optimize some of them. All testbenches are provided (tables, variable key/text, ECB/CBC monte carlo) for 128, 192 and 256 bit key sizes, along with their respective vector files.

標簽： implementation twofish cipher VHDL

上傳時間： 2017-06-25

上傳用戶：王小奇
NN Functions a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vect

NN Functions a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vector X and weight vector W. Calculate weighted sum XW. Transform this using signal or activation functions like logistic, threshold, hyperbolic-tangent, linear, exponential, sigmoid or some other functions (syntax provided) and display the output).

標簽： demonstrate artificial Functions program

上傳時間： 2013-12-30

上傳用戶：hfmm633
This functions computes SARMA or multiplicative (p,q) x (P,Q) models for (p,q,P,Q) in (pvec x qv

This functions computes SARMA or multiplicative (p,q) x (P,Q) models for (p,q,P,Q) in (pvec x qvec x Pvec x Qvec) it returns the best according to AIC where AIC has been modified to account for fixed parameters x = input data pvec = vector of p s set pvec=[0] for no AR qvec = vector of q s set qvec=0[] for no MA Pvec = vector of P s Qvec = vector of Q s T period for multiplicative model

標簽： multiplicative functions computes models

上傳時間： 2017-06-30

上傳用戶：Breathe0125
This section describes the development and extension of a basic power flow program in Matlab. To th

This section describes the development and extension of a basic power flow program in Matlab. To the extent feasible, complex vector operations are used, even for the calculation of the Jacobian matrix .

標簽： development describes extension section

上傳時間： 2017-07-01

上傳用戶：caiiicc
關于矢量網(wǎng)絡的分析基礎和測量

關于矢量網(wǎng)絡的分析基礎和測量，pdf文檔。The basis of vector network analysis and measurement

標簽： 矢量分測量網(wǎng)絡

上傳時間： 2014-07-04

上傳用戶：頂?shù)弥?/p>
AHP toolbox AHPCALC Perform a complete AHP calculation. AHPHIER One-step hierarchic

AHP toolbox AHPCALC Perform a complete AHP calculation. AHPHIER One-step hierarchical assembly of AHP weighting vector. AHPREORDER Internal reordering function called by AHPCALC. AHPVECTOR Calculate the AHP ranking or weighting vector from an AHP reciproal matrix. AHPMAKEMAT Turn a vector of comparisons into an AHP reciprocal matrix. Copyright (C) 2001 Michael J. Scott

標簽： calculation hierarchic AHP One-step

上傳時間： 2013-11-28

上傳用戶：PresidentHuang