线性回归 一个简单的线性回归机器学习程序，用Python 3.4编写 依存关系 numpy： ://www.numpy.org/ Docopt： ： 如果按照“安装”下的说明进行操作，则不必手动安装。 安装 获取此存储库中的文件。 例如：git clone 在命令提示符下，导航到此存储库在计算机上的保存位置。 您应该看到文件setup.py。 安装 跑步 > python setup.py install # do not use 'pip install .', this is just a script 您现在应该可以直接运行“ regress.py” 训练集和测试集 regress.py将使用训练集来学习一个权重矩阵，该矩阵将应用于测试集中每个条目的属性，以预测该条目的类别。 它将比较其预测与实际类别，并查看其预测是否正确。 处理完所有条目后，它将报告其总体准确性。

1.2 Types of Linear Mixed Models 1.3 Estimation in Gaussian Models 1.3.1 Maximum Likelihood 1.3.2 Restricted Maximum Likelihood 1.4 Estimation in Non-Gaussian Models 1.5 Other Methods of Estimation 1.6 Notes on Computation and Software 1.7 Real-Life Data Examples 1.8 Further Results and Technical Notes 1.9 Exercises

1、该算法库较为简陋 2、仅供学习交流使用

Designing Control Loops for Linear and Switching Power Supplies

线性代数方面的经典书籍，也是控制理论的基础学习书籍

离散控制Matlab代码线性离散系统的最优控制 :stopwatch: 用数学模型和MATLAB解决线性离散系统的最优控制 如何使用 您可以在以下位置查看此项目 :seedling: 我们的代码位于“ MATLAB_CODE”文件夹中。 关键字词 QLDR，内点法，DP 贡献者 本文由我们的四人小组撰写。

中文翻译Introduction to Linear Algebra, 5th Edition 6.1节

Loop control is an essential area of electronics engineering that today's professionals need to master. A control system is a complex electronics architecture involving setpoints and targets. One simple example is the cruise control system of an automobile. Rather than delving into extensive theory, this practical book focuses on what power electronics engineers really need to know for compensating or stabilizing a given system. Engineers can turn instantly to practical sections with numerous design examples and ready-made formulas to help them with their projects in the field. Readers also find coverage of the underpinnings and principles of control loops so they can gain a more complete understanding of the material. This authoritative volume explains how to conduct analysis of control systems and provides extensive details on practical compensators. It helps engineers measure their system, showing how to verify if a prototype is stable and features enough design margin. Moreover, professionals learn how to secure high-volume production by bench-verified safety margins.

超清晰英文原版书籍，经典之作，值得收藏！

线性代数，Strang大神的书，非常清晰的逻辑和深入浅出的讲解。