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Description: 建议的词法分析器，界面友好，用户把文法放在input文档中，由程序调用，在ouput文档中给出分析结果，-the lexical analyzer friendly interface, users grammar on the input documents, procedures called by the ouput documents presented results of the analysis,
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Size: 34816 |
Author: 原子 |
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Description: 一个很好的ImageList类
Part of this class was specifically designed for all the projects out there that need an imagelist that will retrieve system file icons, just like the explorer-like example provided. CShellList is much simpler than using shell namespace objects which only bring frustation and confusion.-a good ImageList category Part of this class was spe cifically designed for all the projects out the 're that need an imagelist that will retrieve sys tem file icons, just like the explorer-like example provided. CShellList is much simpler than using shell nam espace objects which only bring frustation and confusion.
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Size: 53248 |
Author: ufoteam |
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Description: 数值传热学NHT C语言源代码及解释 陶文铨院士 的经典例题中3个题目的解答，非常详细-numerical heat transfer, written by
language C
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Size: 1737728 |
Author: 小帅 |
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Description: This book is verzari simple R programm. I think this book is really helpful.
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Size: 2085888 |
Author: akom |
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Description: 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-Swarm optimization, also known as PSO (Particle Swarm Optimization), abbreviated as PSO, in recent years, one J. Kennedy and RC Eberhart et al. [1] developed a new evolutionary algorithm (Evolutionary Algorithm- EA). One of PSO algorithm and simulated annealing algorithm is similar to evolutionary algorithms, it is also a departure random solutions, through iterative find the optimal solution, it is also uated by the fitness of the solution quality, but it' s simpler than genetic algorithm rules it is no genetic algorithm " cross" (crossover) and " variation" (mutation) operation, follow it through to the current search to find the optimal value of the global optimum. This algorithm is its easy implementation, high precision, rapid convergence, etc. attracted academic attention, and demonstrated its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm.
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Size: 1024 |
Author: snowtiger |
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Description: 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。(Particle Swarm Optimization, also known as Particle Swarm Optimization or Particle Swarm Optimization, abbreviated as PSO, is a new evolutionary algorithm developed by J. Kennedy and RC Eberhart in recent years (Evolutionary Algorithm - EA). ). The PSO algorithm is a kind of evolutionary algorithm. It is similar to the simulated annealing algorithm. It also starts from the random solution and finds the optimal solution through iteration. It also evaluates the quality of the solution by fitness, but it is simpler than the rules of genetic algorithm. It does not have the "crossover" and "mutation" operations of the genetic algorithm, which seeks global optimality by following the current searched optimal values. This kind of algorithm has attracted the attention of academic circles because of its advantages of easy implementation, high precision and fast convergence)
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Size: 5120 |
Author: 李彤tongtong |
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