LMS

Nonuniform mesh semivector: Illustrates usage of the semivector modesolver to calculate the quasi-TE and quasi-TM modes of a ridge waveguide. Use the stretchmesh function to expand the size of the computation window at the edges without increasing the number of gridpoints.

Lookup a chemical element based on Symbol, name, or atomic number

There are three kinds of switching mode DC-DC converters, buck, boost and buck-boost. The buck mode is used to reduce output voltage, whilst the boost mode can increase the output voltage. In the buck-boost mode, the output voltage can be maintained either higher or lower than the source but in the opposite polarity.

matlab和simulink的进阶书籍，适合控制类专业的学生(Advanced matlab and simulink books suitable for the control class professional students)

Nginx Markdown module 一个nginx模块，可以将网页中的markdown语法自动转义为html,无需引入其他支持库，执行效率高。 使用--add-module编译Tengine可用dso_install动态加载。 设置实例(http块) location ~ /*.md { mdfilter on mdfilter_utf8 on } // Use Handler module location ~ /*.mkd { mdhandler mdhandler_output html }(Nginx Markdown module a nginx module can be a Web page markdown syntax is automatically escaped as html, without introducing additional support libraries, and high efficiency. Use- add-module compiled Tengine available dso_install dynamic loading. Set the instance (http block) location ~ /* md {mdfilter on mdfilter_utf8 on }.// Use Handler module location ~ /* mkd {mdhandler mdhandler_output html }.)

说明：  拓扑优化常用优化算法，移动渐进线方法，内含详细的程序说明，指出使用改算法的具体操作(Topology optimization commonly used optimization algorithm, method of moving asymptotes, contains detailed program description, and points out the specific operation of the modified algorithm)

先进PID的源码 先进PID的源码 (The source of advanced PID advanced PID source)

Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量 activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量 getlabel.m:根据树和测试样例，得到根据该树得到的类标 getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加) RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树， RandomCreateTree_d_all.m:根据所有样本点的割点建造树 randomdata.m：给定属性取值，造数据 randomselect.m:从数据中随机选择一部分作为 showTree.m:显示树的结构 test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)

39码检测,条形码检测，检测条形码所包含的信息并输出信息。(barcode detection)

关于Vega Prime的12篇期刊论文，涉及VP多场景切换、坐标系、多通道、飞行视景仿真等问题，有相当的参考价值。(About Vega Prime' s 12 journal articles, and more scenes involving VP switching coordinates, multi-channel, flight visual simulation and other issues, there is considerable reference value.)