for sits = 1:stepsize segmentLength = 0.1; if run_RRTconnect == 1 time = 0; avg_its = 0; avg_path = 0; for i = 1:num_of_runs [n_its,path_n,run_time] = RRTconnect_3D(dim,segmentLength,random_world,show_output); time = time + run_time; avg_its = avg_its + n_its; avg_path = avg_path + path_n; end str1 = ['The time taken by RRT-Connect for ', num2str(num_of_runs), ' runs is ', num2str(time)]; str2 = ['The averagae time taken by RRT-Connect for each run is ', num2str(time/num_of_runs)]; str3 = ['The averagae number of states explored by RRT-Connect for each run is ', num2str(avg_its/num_of_runs)]; str4 = ['The averagae number of state in Path by RRT-Connect for each run is ', num2str(avg_path/num_of_runs)]; disp('%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%'); disp(str1); disp(str2); disp(str3); disp(str4); disp('%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%'); plot3(0.15,0,0.36,'.k','Markersize',30); plot3([0.15 0.15],[0 0],[0.27 0.45],'r','LineWidth',5); end end

时间: 2024-04-01 10:35:49 浏览: 10
这段代码是在统计完RRT-Connect算法的运行结果之后,绘制了一个三维图形。具体来说,使用plot3函数画出了一个黑色的点,坐标为(0.15,0,0.36),点的大小为30;然后又使用plot3函数画出了一条红色的线段,起点坐标为(0.15,0,0.27),终点坐标为(0.15,0,0.45),线段的宽度为5。这段代码的作用是在原来的统计信息的基础上,为用户提供更直观的反馈,以便更好地理解算法的运行结果。
相关问题

for sits = 1:stepsize segmentLength = 0.1; if run_RRTconnect == 1 time = 0; avg_its = 0; avg_path = 0; for i = 1:num_of_runs [n_its,path_n,run_time] = RRTconnect_3D(dim,segmentLength,random_world,show_output); time = time + run_time; avg_its = avg_its + n_its; avg_path = avg_path + path_n; end

这段代码中使用了for循环,循环变量为sits,循环次数为stepsize。在循环体内部定义了变量segmentLength的值为0.1,然后判断run_RRTconnect是否等于1,如果是,则定义变量time、avg_its和avg_path的值都为0,接着再使用for循环,循环变量为i,循环次数为num_of_runs。在循环体内部调用了函数RRTconnect_3D,并将返回值分别赋值给变量n_its、path_n和run_time。然后累加变量time、avg_its和avg_path的值。最后,在循环体外部结束了for循环sits,并且此时变量time、avg_its和avg_path的值都是所有循环的累加值。

class MyCar: steer_shape='rectangle' __weight=3000 def init(self,n_wheel,n_sits): self.n_wheel=n_wheel self.n_sits=n_sits def run(self): print("The car has already started") print(MyCar.dict) print(MyCar._MyCar__weight) mycar=MyCar(4,5) mycar.run() 在上例基础上,通过mycar采用两种不同方法访问属性 n_wheel

可以通过以下两种方法访问属性 n_wheel: 1. 直接使用实例对象 mycar.n_wheel,如下所示: ```python print(mycar.n_wheel) ``` 2. 使用类对象 MyCar 和属性名 n_wheel,通过类访问实例属性,如下所示: ```python print(MyCar.n_wheel.__get__(mycar)) ``` 这两种方法都可以访问到实例属性 n_wheel 的值。

相关推荐

The Sleeping Teaching Assistant A university computer science department has a teaching assistant (TA) who helps undergraduate students with their programming assignments during regular office hours. The TA’s office is rather small and has room for only one desk with a chair and computer. There are three chairs in the hallway outside the office where students can sit and wait if the TA is currently helping another student. When there are no students who need help during office hours, the TA sits at the desk and takes a nap. If a student arrives during office hours and finds the TA sleeping, the student must awaken the TA to ask for help. If a student arrives and finds the TA currently helping another student, the student sits on one of the chairs in the hallway and waits. If no chairs are available, the student will come back at a later time. Using POSIX threads, mutex locks, and/or semaphores, implement a solution that coordinates the activities of the TA and the students. Details for this assignment are provided below. Using Pthreads, begin by creating N students. Each will run as a separate thread. The TA will run as a separate thread as well. Student threads will alternate between programming for a period of time and seeking help from the TA. If the TA is available, they will obtain help. Otherwise, they will either sit in a chair in the hallway or, if no chairs are available, will resume programming and will seek help at a later time. If a student arrives and notices that the TA is sleeping, the student must notify the TA using a semaphore. When the TA finishes helping a student, the TA must check to see if there are students waiting for help in the hallway. If so, the TA must help each of these students in turn. If no students are present, the TA may return to napping. Perhaps the best option for simulating students programming—as well as the TA providing help to a student—is to have the appropriate threads sleep for a random period of time using the sleep() API:

rar

最新推荐

recommend-type

Beyond_BIOS_Second_Edition_Digital_Edition

Tis is a book about a new way to solve an old set of ... What sits at the reset vector? What can the operating system count on when it is loaded and initially receives control? What should the internal
recommend-type

HTML+CSS制作的个人博客网页.zip

如标题所述,内有详细说明
recommend-type

基于MATLAB实现的SVC PSR 光谱数据的读入,光谱平滑,光谱重采样,文件批处理;+使用说明文档.rar

CSDN IT狂飙上传的代码均可运行,功能ok的情况下才上传的,直接替换数据即可使用,小白也能轻松上手 【资源说明】 基于MATLAB实现的SVC PSR 光谱数据的读入,光谱平滑,光谱重采样,文件批处理;+使用说明文档.rar 1、代码压缩包内容 主函数:main.m; 调用函数:其他m文件;无需运行 运行结果效果图; 2、代码运行版本 Matlab 2020b;若运行有误,根据提示GPT修改;若不会,私信博主(问题描述要详细); 3、运行操作步骤 步骤一:将所有文件放到Matlab的当前文件夹中; 步骤二:双击打开main.m文件; 步骤三:点击运行,等程序运行完得到结果; 4、仿真咨询 如需其他服务,可后台私信博主; 4.1 期刊或参考文献复现 4.2 Matlab程序定制 4.3 科研合作 功率谱估计: 故障诊断分析: 雷达通信:雷达LFM、MIMO、成像、定位、干扰、检测、信号分析、脉冲压缩 滤波估计:SOC估计 目标定位:WSN定位、滤波跟踪、目标定位 生物电信号:肌电信号EMG、脑电信号EEG、心电信号ECG 通信系统:DOA估计、编码译码、变分模态分解、管道泄漏、滤波器、数字信号处理+传输+分析+去噪、数字信号调制、误码率、信号估计、DTMF、信号检测识别融合、LEACH协议、信号检测、水声通信 5、欢迎下载,沟通交流,互相学习,共同进步!
recommend-type

基于MATLAB实现的有限差分法实验报告用MATLAB中的有限差分法计算槽内电位+使用说明文档

CSDN IT狂飙上传的代码均可运行,功能ok的情况下才上传的,直接替换数据即可使用,小白也能轻松上手 【资源说明】 基于MATLAB实现的有限差分法实验报告用MATLAB中的有限差分法计算槽内电位;对比解析法和数值法的异同点;选取一点,绘制收敛曲线;总的三维电位图+使用说明文档 1、代码压缩包内容 主函数:main.m; 调用函数:其他m文件;无需运行 运行结果效果图; 2、代码运行版本 Matlab 2020b;若运行有误,根据提示GPT修改;若不会,私信博主(问题描述要详细); 3、运行操作步骤 步骤一:将所有文件放到Matlab的当前文件夹中; 步骤二:双击打开main.m文件; 步骤三:点击运行,等程序运行完得到结果; 4、仿真咨询 如需其他服务,可后台私信博主; 4.1 期刊或参考文献复现 4.2 Matlab程序定制 4.3 科研合作 功率谱估计: 故障诊断分析: 雷达通信:雷达LFM、MIMO、成像、定位、干扰、检测、信号分析、脉冲压缩 滤波估计:SOC估计 目标定位:WSN定位、滤波跟踪、目标定位 生物电信号:肌电信号EMG、脑电信号EEG、心电信号ECG 通信系统:DOA估计、编码译码、变分模态分解、管道泄漏、滤波器、数字信号处理+传输+分析+去噪、数字信号调制、误码率、信号估计、DTMF、信号检测识别融合、LEACH协议、信号检测、水声通信 5、欢迎下载,沟通交流,互相学习,共同进步!
recommend-type

gara.ttf,字体下载

gara.ttf字体下载
recommend-type

zigbee-cluster-library-specification

最新的zigbee-cluster-library-specification说明文档。
recommend-type

管理建模和仿真的文件

管理Boualem Benatallah引用此版本:布阿利姆·贝纳塔拉。管理建模和仿真。约瑟夫-傅立叶大学-格勒诺布尔第一大学,1996年。法语。NNT:电话:00345357HAL ID:电话:00345357https://theses.hal.science/tel-003453572008年12月9日提交HAL是一个多学科的开放存取档案馆,用于存放和传播科学研究论文,无论它们是否被公开。论文可以来自法国或国外的教学和研究机构,也可以来自公共或私人研究中心。L’archive ouverte pluridisciplinaire
recommend-type

【实战演练】MATLAB用遗传算法改进粒子群GA-PSO算法

![MATLAB智能算法合集](https://static.fuxi.netease.com/fuxi-official/web/20221101/83f465753fd49c41536a5640367d4340.jpg) # 2.1 遗传算法的原理和实现 遗传算法(GA)是一种受生物进化过程启发的优化算法。它通过模拟自然选择和遗传机制来搜索最优解。 **2.1.1 遗传算法的编码和解码** 编码是将问题空间中的解表示为二进制字符串或其他数据结构的过程。解码是将编码的解转换为问题空间中的实际解的过程。常见的编码方法包括二进制编码、实数编码和树形编码。 **2.1.2 遗传算法的交叉和
recommend-type

openstack的20种接口有哪些

以下是OpenStack的20种API接口: 1. Identity (Keystone) API 2. Compute (Nova) API 3. Networking (Neutron) API 4. Block Storage (Cinder) API 5. Object Storage (Swift) API 6. Image (Glance) API 7. Telemetry (Ceilometer) API 8. Orchestration (Heat) API 9. Database (Trove) API 10. Bare Metal (Ironic) API 11. DNS
recommend-type

JSBSim Reference Manual

JSBSim参考手册,其中包含JSBSim简介,JSBSim配置文件xml的编写语法,编程手册以及一些应用实例等。其中有部分内容还没有写完,估计有生之年很难看到完整版了,但是内容还是很有参考价值的。