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In this thesis, we study the analysis of exponential time algorithms for some intractable problems.

本文研究难解问题的指数时间算法分析。

Modular exponentiation of long integers is the primary operation of several public-key algorithms and often the bottleneck for implementation.

大数模幂是许多公钥算法中的主要操作和计算瓶颈。

In this paper, we will discuss how to improve the algorithms of the exponentiation calculation and the modular calculation to increase the calculating speed of RSA.

本文将讨论改进大数乘幂算法和取余算法,发提高RSA算法的运算速度。

The large numer exponentiation algorithms is the key of RSA cryptography system,which is performed by a series of modular multiplication.

RSA算法的核心运算是大整数模幂运算,而模幂运算是由一系列的模乘运算构成。

What you have to do, is to release your software with the extended algorithms encrypted.

你必须做的,是释放扩展您的软件加密算法。

The operation and learning algorithms of fuzzy information neural networks are based on the level cut operation of fuzzy sets and the extension theorem of fuzzy sets.

神经模糊系统为以神经网络为工具实现模糊系统的方法。

In the framework of graph embedding, it shows that the proposed algorithms have correspondingly extensional type of graph embedding and applicability.

在图嵌入框架下,对本文提出的算法进行了分析和比较,表明了提出的算法具有相应的图嵌入扩展方式和适用性。

Several novel algorithms are proposed to achieve 99% reduction in internal memory size or 92% reduction in external memory bandwidth.

我们提出了三种硬体导向的演算法,可以在FGS实作上节省99%的内部记忆体大小或92%的外部记忆体频宽。

The use of genetic algorithms achieve about extremal function of problem solving, function has been give.

详细说明:使用遗传算法实现关于函数极值问题的求解,函数已给出。

Bring forward a kind of learning algorithm fitting on the base of spline function, because the spline function has good flexibility and quadratic smoothing property, the search problem of network weight functions training can be converted into the resoluting extreme value problem of the plurality function through using spline function to represent network input and link weight functions, thus the PNN can be trained with the help of the existing neural network learning algorithms;④build a kind of learning algorithm base on the alternate of Walsh function, the complexity of network computing can be decreased through using the complete orthogonality of Walsh function corollary.

应用结果表明该算法收敛速度快,稳定性好;③提出了一种基于样条函数拟和的学习算法,由于样条函数具有很好的柔韧性和二次光滑性,将网络输入函数和连接权函数用样条函数的形式表示,可把网络权函数训练的函数寻优问题转换为多元函数求极值的问题,从而可借助于现有的神经网络学习算法训练过程神经元网络;④建立了一种基于Walsh函数变换的学习算法,利用Walsh函数系的完备正交性,可大大降低网络计算的复杂度。

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