本文介绍了高效的冒号运算符可用于多个起点和终点的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
假设我有以下两个变量:
Suppose I have the following two variables:
start_idx = [1 4 7];
end_idx = [2 6 15];
我想高效(如果可能,则不进行循环)生成单行,该行由在start_idx
和end_idx
的相应元素之间应用的冒号运算符组成.对于此示例,这将导致:
I want to efficiently (no for loop if possible) generate a single row which consists of the colon operator being applied between corresponding elements of start_idx
and end_idx
. For this example, this would result in:
result = [1:2 4:6 7:15];
因此:
results = [1 2 4 5 6 7 8 9 10 11 12 13 14 15];
执行此操作的方法应该在Simulink的MATLAB Function模块中可用.非常感谢你!
The method to do this should be usable inside Simulink's MATLAB Function block. Thank you very much!
推荐答案
这是一种基于累积求和的矢量化方法-
Here's a vectorized approach based on cumulative summation -
% Get lengths of each group
lens = end_idx - start_idx + 1;
% Determine positions in o/p array where groups would shift
shift_idx = cumsum(lens(1:end-1))+1
% Initialize ID array and at shifting positions place strategically created
% numbers, such that when ID array is cumulatively summed would result in
% desired "ramped" array
id_arr = ones(1,sum(lens));
id_arr([1 shift_idx]) = [start_idx(1) start_idx(2:end) - end_idx(1:end-1)];
out = cumsum(id_arr)
样品运行-
start_idx =
6 8 13
end_idx =
11 11 15
out =
6 7 8 9 10 11 8 9 10 11 13 14 15
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