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An article about how in matlab of pso algorithm in the paper, so as to realize optimization to solve,,

说明：  波形设计算法，阵列信号处理等相关知识的介绍仿真等(Introduction and Simulation of waveform design algorithm, array signal processing and other related knowledge)

利用宽度有限方法（BFS）寻找最短路径和最小树的算法和算例。(Use of finite width method (BFS) to find the shortest path and minimum tree algorithms and numerical examples.)

flume+kafka+storm整合，1.一个好的项目架构应该具备什么特点？ 2.本项目架构是如何保证数据准确性的？ 3.什么是Kafka？ 4.flume+kafka如何整合？ 5.使用什么脚本可以查看flume有没有往Kafka传输数据

关于粒子群算法的c语言程序,可以用于函数优化,极其方便(The C language program of particle swarm optimization algorithm can be used for function optimization, which is extremely convenient.)

r 双精度实型一维数组,存放Yule-Walker方程的元素r(0),r(1), r(p), p AR模型阶数, a AR模型系数a(()

统计数据的预处理源程序大全，数据的平滑处理，数据的标准化转换，数据的极差归一化变换(Daquan source of statistical data pre-processing, data smoothing, standardization of data conversion, data conversion of poor normalization)

Python是一种面向对象、解释型计算机程序设计语言，其应用领域非常广泛，包括数据分析、自然语言处理、机器学习、科学计算以及推荐系统构建等。 本书用Python语言来讲解算法的分析和设计。本书主要关注经典的算法，但同时会为读者理解基本算法问题和解决问题打下很好的基础。(Python is an object-oriented, interpretive computer programming language. It has a wide range of applications, including data analysis, natural language processing, machine learning, scientific computing and recommendation system construction. This book uses Python language to explain the analysis and design of algorithms. This book focuses on classical algorithms, but at the same time it will lay a good foundation for readers to understand basic algorithms and solve problems. The book consists of 11 chapters. The tree, graph, counting problem, inductive recursion, traversal, decomposition and merging, greedy algorithm, complex dependency, Dijkstra algorithm, matching and cutting problem, difficult problem and its dilution are introduced. The book has exercises and reference materials at the end of each chapter, which provides readers with more convenience for self-examination and further stu)

floyd，求最短路径的算法。。求任意两点间的最短距离(floyd, seeking the shortest path algorithms. . Arbitrary order of the shortest distance between two points)

Python机器学习及实践，第二章到第四章源码(Python machine learning and Practice)