clc; rng('shuffle'); parpool(24); tic; N = 128; % number of VNs m = 64; % number of CNs R = 0.5; % code rate name = 'population1.mat'; load(name); % To get started, our initial population (i.e., population 1) contains a set of randomly constructed regular (3,6) LDPC codes pop_index=1; while true %%%%% Population N_pop tic; pop_index = pop_index + 1; name = ['population' num2str(pop_index) '.mat']; all_Hs = population_update(all_Hs,BLERs,R); S=size(all_Hs,1); save('H_matrices.mat'); BLERs = nan(1,S); for H_count = 1:S BLERs(H_count) = compute_BLER( squeeze(all_Hs(H_count,:,:)) , R ); save('status_BLER_Done.mat','H_count'); end timeNeeded = toc; save(name); end 修改这个代码中的语法错误
时间: 2024-03-15 22:47:09 浏览: 11
这段代码看起来没有明显的语法错误,但是缺少终止while循环的条件,会导致代码无限循环下去,直到被手动停止。为了避免这种情况的发生,我们可以加入一个终止条件,例如:
```
max_pop_index = 100;
while pop_index < max_pop_index
...
end
```
这样就可以保证代码在经过一定轮数的更新后会自动停止。另外,如果需要在循环中加入其它的控制逻辑,也可以在while循环中加入相应的条件判断。
相关问题
clear all; close all; clc; rng('shuffle'); parpool(24); tic; N = 128; % number of VNs m = 64; % number of CNs R = 0.5; % code rate name = 'population1.mat'; load(name); % To get started, our initial population (i.e., population 1) contains a set of randomly constructed regular (3,6) LDPC codes pop_index=1; while true %%%%% Population N_pop tic; pop_index = pop_index + 1; name = ['population' num2str(pop_index) '.mat']; all_Hs = population_update(all_Hs,BLERs,R); S=size(all_Hs,1); save('H_matrices.mat'); BLERs = nan(1,S); for H_count = 1:S BLERs(H_count) = compute_BLER( squeeze(all_Hs(H_count,:,:)) , R ); save('status_BLER_Done.mat','H_count'); end timeNeeded = toc; save(name); end。 怎么修改程序
这个程序出现了之前提到的错误,需要修改程序来解决。
你可以尝试修改 parpool 函数的输入参数,将其从原来的 24 改为 8,这样就不会超过本地集群的最大工作线程数了。修改后的程序如下:
```
clear all; close all; clc; rng('shuffle'); parpool(8); tic; N = 128; % number of VNs m = 64; % number of CNs R = 0.5; % code rate name = 'population1.mat'; load(name); % To get started, our initial population (i.e., population 1) contains a set of randomly constructed regular (3,6) LDPC codes pop_index=1; while true %%%%% Population N_pop tic; pop_index = pop_index + 1; name = ['population' num2str(pop_index) '.mat']; all_Hs = population_update(all_Hs,BLERs,R); S=size(all_Hs,1); save('H_matrices.mat'); BLERs = nan(1,S); for H_count = 1:S BLERs(H_count) = compute_BLER( squeeze(all_Hs(H_count,:,:)) , R ); save('status_BLER_Done.mat','H_count'); end timeNeeded = toc; save(name); end。
```
请注意,这只是一种可能的解决方案,具体的修改取决于你的集群配置和需要使用的工作线程数。如果你需要使用更多的工作线程,你需要相应地增加集群的 NumWorkers 属性值。
clc; clear; close all; % Parameters n = 100; % Number of particles L = 10; % Length of the container T = 300; % Temperature m = 1; % Mass of the particles r_min = 0.1; % Minimum distance between two particles每句什么意思
这是一段 MATLAB 代码,表示在模拟分子动力学过程中设置一些参数。其中:
- clc; clear; close all; 表示清空当前 MATLAB 工作空间,关闭所有打开的图形窗口。
- n = 100; 表示模拟系统中粒子的数量为100。
- L = 10; 表示模拟系统的边长为10个单位长度。
- T = 300; 表示模拟系统的温度为300K。
- m = 1; 表示模拟系统中粒子的质量为1。
- r_min = 0.1; 表示模拟系统中两个粒子之间的最小距离为0.1个单位长度。