3D立体图片相册

Smart Home in my House

“完全可增强”稀疏线阵入射多个不相关平面波的波达角方向(DOA)估计问题。在估计阶段之前确定了现有信号源(M)的数目，研究了在最大似然意义下DOA估计精度有效的条件。(The problem of DOA estimation for incoherent plane waves incident by sparse linear arrays with "fully enhanced" effect is discussed. The number of existing signal sources (M) is determined before the estimation stage, and the conditions for the accuracy of DOA estimation in the maximum likelihood sense are studied.)

说明：  动态规划算法程序,用于汽车能量管理方面的控制(Dynamic programming algorithm program for the control of automotive energy management,)

计算傅立叶光学的实现，可以用于GS算法（需要改造），角谱算法的参考，基础算法本人已经验证，可实现衍射的计算，经开发可以用于DOE（衍射光学元件）的设计(The realization of computational Fourier optics can be used as a reference for GS algorithm and angular spectrum algorithm. The basic algorithm has been verified by myself, and can be used for the calculation of diffraction. The developed algorithm can be used for the design of DOE (Diffractive Optical Element).)

使用java开发的俄罗斯方块游戏（java版），感觉还行。-Russian square game (Java edition),

说明：  使用SVM分类器来预测乳腺癌病人的预后(特征选择；分类器构建)，评价模型时使用无被交叉验证，性能评价指标包括准确率，AUC，灵敏度，特异度。学会最基本的机器学习方法。可查看分发给大家的代码，以后遇到类似的问题，可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the model was used without cross-validation. Performance evaluation indicators included accuracy, AUC, sensitivity, and specificity. Learn the most basic machine learning methods. You can view the code distributed to everyone, and later encounter similar problems, similar ideas and code can be used.)

这鳕鱼模拟 salitons 在 physics.two m 文件是 attached.salitone 一号模拟了 salitons 和另一个模拟 5 次订单 salitons 的 4rth 命令我 think.best 问候! 这鳕鱼模拟 salitons 在 physics.two m 文件是 attached.salitone 一号模拟了 salitons 和另一个模拟 5 次订单 salitons 的 4rth 命令我 think.best 问候 ！

研究了不确定同时取送货车辆路径问题（VRPSPD），考虑运行环境的不确定性，顾客时间窗口要求和对顾客同时进行取货和送货服务的情况，以运作成本最低和顾客满意度最高为决策目标，构建不确定 VRPSPD 数学模型。模型中，引入模糊随机理论来描述决策环境中的双重不确定性，假定顾客需求量（送货量）和取货量是模糊随机变量。随后，提出基于模糊随机算子的改进粒子群算法对模型进行求解。(This article studies the vehicle routing problem with simultaneous pickup and delivery under a fuzzy random environment. More specifically, to adapt the mathematical model and improve the algorithm performance, this approach makes improvements and modifications in encoding and decoding, multi-objective handling, and particle updating. The encoding and decoding are suitable, multiple fitness functions are used to deal with the multi-objectives, and the improved update function can help overcome the shortcomings of the basic particle swarm optimization.)

获取multipart/form-data形式上传文件的函数(Get multipart/form-data forms to upload files function)

CAD删除重复的圆和重复线，只针对同一图层。(CAD deletes duplicate circles and heavy lines, only for the same layer)