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https://www.eeworm.com/dl/641/289151.html 数学计算

Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm

Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm to sample from the distribution P ~ EXP(-F), where F is the first argument to HMC. The Markov chain starts at the point X, and the function GRADF is the gradient of the `energy fun ...
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https://www.eeworm.com/dl/654/354796.html 数据结构

在有向图中计算最小生成树---Edmonds s Algorithm

在有向图中计算最小生成树---Edmonds s Algorithm
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https://www.eeworm.com/dl/519/320611.html 加密解密

Digital Signature Algorithm (DSA)是Schnorr和ElGamal签名算法的变种

Digital Signature Algorithm (DSA)是Schnorr和ElGamal签名算法的变种，被美国NIST作为DSS(DigitalSignature Standard)。算法中应用了下述参数： p：L bits长的素数。L是64的倍数，范围是512到1024； q：p - 1的160bits的素因子； g：g = h^((p-1)/q) mod p，h满足h < p - 1, h^((p-1)/q) mod p > ...
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https://www.eeworm.com/dl/633/437294.html Java编程

this program explains the K_means cluster Algorithm. and also direct to the best k value

this program explains the K_means cluster Algorithm. and also direct to the best k value
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https://www.eeworm.com/dl/665/437876.html matlab例程

Express gatool use of MATLAB in the implementation of training neural network genetic algorithm proc

Express gatool use of MATLAB in the implementation of training neural network genetic algorithm procedure
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https://www.eeworm.com/dl/665/371770.html matlab例程

PRINCIPLE: PLS cross-validation using the SIMPLS or WIMPLS algorithm, respectively for tall or wide

PRINCIPLE: PLS cross-validation using the SIMPLS or WIMPLS algorithm, respectively for tall or wide X-data. The optimal approach is selected automatically.
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https://www.eeworm.com/dl/641/410485.html 数学计算

cordic methods describe essentially the same algorithm that with suitably chosen inputs can be used

cordic methods describe essentially the same algorithm that with suitably chosen inputs can be used to calculate a whole range of scientific functions including sin, cos, tan, arctan, arcsin, arccos, sinh, cosh, tanh, arctanh, log, exp, square root and even multiply and divide. ...
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https://www.eeworm.com/dl/518/384083.html 数值算法/人工智能

Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs

Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％ ％ The activation functions must be either linear or ...
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https://www.eeworm.com/dl/665/384109.html matlab例程

Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Ne

Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networks can be trained. ％ ％ The activation functions can either be linear or tanh. The network ％ architecture is defined by t ...
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https://www.eeworm.com/dl/542/385956.html 其他书籍

并行计算的英文教程 Parallel Computation Architecture, Algorithm and Programming

并行计算的英文教程 Parallel Computation Architecture, Algorithm and Programming
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