利用mathematica软件，编写色散方程拟合的代码。有作图，很漂亮。

Wolfram Mathematica 12.x 全版本、全平台（WIN\MAX\LINUX)注册机 目前亲测WIN好使，过几天测试MAC系统的！ 安装好mathematica后，WIN系统 安装方法：双击解压文件夹内批处理文件-输入math id即可 *请勿直接双击.exe文件 否则会闪退 MAC/LINUX系统需要在Windows下面执行批处理文件，输入math id即可 好用的话请留言好评 造福全社会~

【P147页 5.4.2 Strassen矩阵乘法】的 Mathematica 计算验证.nb 是 Mathematica12.1的编程代码验证，Mathematica符号计算语言简洁明了！ 欢迎进行下载验证！

适用于中级学者使用。有较多的典型例题，格式是PDF易于阅读。是学习学数学的一个好帮手。

用mathematica分析人脸

COVID-19：与Wolfram语言有关的COVID-19相关的代码，数据和计算资源

一份非常全的Mathematica教程，新手入门必看

第七版 Indroduction_to_Mathematica_Statistics.Hogg,McKean,Craig seventh edition.pdf UIUC的 STAT401统计课程教材 Contents Preface ix 1 Probability and Distributions 1 1.1 Introduction................................ 1 1.2 SetTheory ................................ 3 1.3 TheProbabilitySetFunction ...................... 10 1.4 ConditionalProbabilityandIndependence . . . . . . . . . . . . . . . 21 1.5 RandomVariables ............................ 32 1.6 DiscreteRandomVariables ....................... 40 1.6.1 Transformations ......................... 42 1.7 ContinuousRandomVariables...................... 44 1.7.1 Transformations ......................... 46 1.8 ExpectationofaRandomVariable ................... 52 1.9 SomeSpecialExpectations ....................... 57 1.10ImportantInequalities .......................... 68 2 Multivariate Distributions 73 2.1 DistributionsofTwoRandomVariables ................ 73 2.1.1 Expectation............................ 79 2.2 Transformations: Bivariate Random Variables . . . . . . . . . . . . . 84 2.3 Conditional Distributions and Expectations . . . . . . . . . . . . . . 94 2.4 TheCorrelationCoefficient ....................... 102 2.5 IndependentRandomVariables.....................110 2.6 ExtensiontoSeveralRandomVariables . . . . . . . . . . . . . . . . 117 2.6.1 ∗Multivariate Variance-Covariance Matrix . . . . . . . . . . . 123 2.7 Transformations for Several Random Variables . . . . . . . . . . . . 126 2.8 LinearCombinationsofRandomVariables. . . . . . . . . . . . . . . 134 3 Some Special Distributions 139 3.1 TheBinomialandRelatedDistributions . . . . . . . . . . . . . . . . 139 3.2 ThePoissonDistribution ........................ 150 3.3 TheΓ,χ2,andβDistributions ..................... 156 3.4 TheNormalDistribution......................... 168 3.4.1 ContaminatedNormals ..................... 174 v vi Contents 3.5 TheMultivariateNormalDistribution ................. 178 3.5.1 ∗Applications........................... 185 3.6 t-andF-Distributions

Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program. Mathematica Beyond Mathematics: The Wolfram Language in the Real World introduces the new features using real-world examples, based on the experience of the author as a consultant. In the process, you will also learn more about the Wolfram Language and how you can use it to solve a wide variety of problems. The author raises questions from a wide range of topics and answers them by taking full advantage of Mathematicas latest features. For example What sources of energy does the world really use? How can we calculate tolerance limits in manufacturing processes? Are our cities getting warmer? Is the novel El Quijote written in Pi? How can we find planets outside our solar system?

模拟和数字滤波器设计在电子工程、应用数字和计算机领域都是非常重要的内容。本书将滤波器理论与实践相结合，展示了算法和设计的新发展，其中包括成熟的滤波器算法和MATLAB、MATHEMATICA算法的实现。本书分为两个部分，第一部分讲述了常规滤波器的设计技术，展示了一些新算法并进行了案例研究。第二部分讨论了现代设计方法的理论。本书有三个特点：一是可以方便地获取关于模拟和数字滤波器设计的最新知识；二是滤波器设计方面的大量案例研究；三是对椭圆函数滤波器的独特讲解。我们为读者提供了一整套软件工具，这对解决滤波器设计问题将很有帮助。