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算法分析，算法理解，算法性能分析，算法综述等等。-Algorithm analysis, algorithm understanding, algorithm performance analysis, algorithm, etc..
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两台处理机A 和B处理n个作业。设第i个作业交给机器
A 处理时需要时间ai，若由机器B 来处理，则需要时间bi。由于各作
业的特点和机器的性能关系，很可能对于某些i，有ai >=bi，而对于
某些j，j!=i，有aj<bj。既不能将一个作业分开由两台机器处理，也没
有一台机器能同时处理2 个作业。设计一个动态规划算法，使得这两
台机器处理完成这n 个作业的时间最短（从任何一台机器开工到最后
一台机器停工的总时间）。研究一个实例：（a1,a2,a3,a4,a5
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使用C 语言编制Mex算法程序，对于提高算法的性能有很大帮助。
希望该文档能帮助大家进入matlab 和 c 语言之间互动的世界，也期待你编制更多的原创程
序奉献给研学论坛，尤其是混沌和分形版面-The use of C language algorithm Mex procedures, for improving the algorithm performance of much help. I hope the document will help us to enter the
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本算法是一种标准遗传算法，应用于函数优化，性能较好。-The algorithm is a standard genetic algorithm, applied to function optimization, performance better.
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回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS-Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of t
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时变参数的粒子群优化的matlab实现，可用于解决多种连续优化问题-A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with resp
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页面置换算法设计和实现最佳置换算法、随机置换算法、先进先出置换算法、最近最久未使用置换算法、简单Clock置换算法及改进型Clock置换算法；通过支持页面访问序列随机发生实现有关算法的测试及性能比较。-Page replacement algorithm design and realization of the best replacement algorithm, random permutation algorithm, FIFO replacement algorithm, the mo
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用遗传算法对光纤位移传感器的实验数据进行拟合，使用精英保留策略提高算法性能-Genetic algorithm with fiber-optic displacement sensor to fit the experimental data, the use of elite strategies to improve retention of algorithm performance
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这是几个常用的测试函数，通过这个测试函数可以比较算法性能的优劣。-This is a test of several commonly used functions, through this test function can compare the algorithm performance is good or bad.
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这是另外几个测试函数，通过这个测试函数可以比较算法性能的优劣。-This is another test a few functions, through this test function can compare the algorithm performance is good or bad.
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关于自适应滤波的算法仿真，其中应用了LMS算法和RLS算法，也比较了他们的性能-Adaptive filtering algorithms on the simulation, which applied the LMS algorithm and RLS algorithm, also compare the performance of their
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文化算法的MATLAB实现。实验结果表明该算法具有良好的性能。-MATLAB implementation of cultural algorithms. Experimental results show that the algorithm has good performance.
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遗传算法作为具有系统优化、适应和学习的高性能计算和建模方法的研究渐趋成熟。在介绍遗传算法的产生和发展历史之后，慨述厂遗传算法的理论和应用情况-Genetic algorithm as a system optimization, adaptation and learning of high-performance computing and modeling method of maturing. In introducing the genetic algorithm generation
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Grid technologies have progressed towards a service-oriented paradigm that enables a new way
of service provisioning based on utility computing models, which are capable of supporting diverse
computing services. It facilitates scientific applicat
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拟使用基于LMS与RLS的自适应算法在MATLAB平台上对带有两个权的自适应线性组合器进行仿真,进而对两类算法的性能作比较，同时也考察了两种算法在不同参数条件下曲线收敛性的变化-Intending to use the LMS and RLS-based adaptive algorithm in the MATLAB platform with two pairs of the right to self-adaptive linear combiner is simulated, and t
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寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing.
The code was initially
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一个快速排序算法的实现,性能非常的快，希望不要做代码的搬运机！而是要掌握灵魂-The realization of a fast sorting algorithm, performance is very fast, hope it will not do the code handling machine!
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一种基于运动场分析的均值漂移目标跟踪算法。对经典的算法进行了有效改进，充分考虑了目标的运动信息，提高了算法性能。-Sports analysis based on mean shift tracking algorithm. The classical algorithm is effective to improve, give full consideration to the goals of the campaign information to improve the algorith
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自己写的一个关于chase算的程序，能得到最后的译码结果。主要用于乘积码和广义LDPC的译码算法上，有较好的性能。-Write a program to calculate on the chase, will be the final decoding results. Mainly used for product codes and generalized LDPC decoding algorithm, there is better performance.
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为了有效检测多目标优化进化算法的性能，从3 个方面进行多目标优化测试问题的设计，即约束条件、最优解分布的均匀性、算
法逼近Pareto 最优前沿的难度，采用NSGA-Ⅱ算法对这些测试问题进行仿真实验，并将算法求得的最优解可视化。结果显示，测试问题能够有效检测算法在上述3 方面的性能。-In order to effectively detect the multi-objective optimization evolutionary algorithm performance, from
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