马尔可夫链蒙特卡洛-0/1背包问题 该资料库引用了该学科的最终：《蒙特卡洛算法和马尔可夫链中的特殊主题》 ，PESC / COPPE / UFRJ ，由 教授在2018年第一学期教授。 学生们： 关于 该存储库的目的是为0/1背包问题建立解决方案，也就是说，每个元素都可以或不可以不经过重复就出现在解决方案中。 开发的代码旨在评估涉及Markov Chains Monte Carlo的不同算法的结果和性能。 与伪多项式求解算法和贪婪算法（称为“爬山”）相比，本文涵盖的技术涉及不同冷却和过渡策略下的随机游走，Metropolis Hastings，模拟退火算法。 此外，该存储库还试图提出可能的场景，在这些场景中，马尔可夫链蒙特卡洛算法比确定性算法更具优势。 运行算法 所有算法都是使用编写的，并且在src目录中可用。 在data目录中，您可以找到一些可以由算法执行的问题。 涉及Mark

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图像首先转换为 CIE lab 颜色空间，并生成 3d 颜色直方图。 Hill-climbing 算法用于在实验室直方图中找到局部最大值，用于自动确定聚类数 K 以及 K-means 的初始种子。

In this new edition we have responded, also, to the reality that previous editions have been enthusiastically embraced by the community of practicing circuit designers, even though The Art of Electronics (now 35 years in print) originated as a course textbook. So we’ve continued the “how we do it” approach to circuit design; and we’ve expanded the depth of treatment, while (we hope) retaining the easy access and explanation of basics. At the same time we have split off some of the specifically course-related teaching and lab material into a separate Learning the Art of Electronics volume, a substantial expansion of the previous edition’s companion Student Manual for The Art of Electronics

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有限差分矩阵代码Cahn-Hilliard方程的数值方法 该存储库基于Matthew Geleta提交的论文“ Cahn-Hilliard方程的数值方法”，该论文是牛津大学数学硕士学位的一部分。 运行脚本“ Example_Script.m”以演示有限差分求解器，并进行漂亮的模拟。 运行脚本“ FEM_Cahn_Hilliard_Irregular.m”以查看不规则域上稳态Cahn-Hilliard方程的有限元解。 运行脚本“ FEM_Cahn_Hilliard_Rectangular.m”以查看矩形域上稳态Cahn-Hilliard方程的有限元解。 该存储库包含用于以下方面的MATLAB代码：-具有Neumann边界条件的二维Cahn-Hilliard方程的五个有限差分方案。 -稳态Cahn-Hilliard方程的有限元格式。 -使用二维辛普森规则计算面积积分的函数。 -用于生成动画的功能，这些动画显示了Cahn-Hilliard系统的演变。 -示例脚本（称为“ Example_Script”），用于演示有限差分代码的工作方式。 -在某些函数内部内部调用的某些后台依赖文件。

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Stephen Chapman - Electric Machinery Fundamentals 电机基础斯蒂芬·查普曼，非常经典的电机教材，在谷歌学术引用超过2000次。

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