从起始编号和结束编号的向量创建序列

Question

如果我在Matlab中以矢量化方式包含子序列的起始和结束数字向量,那么如何创建序列呢？

示例输入:

A=[12 20 34]  
B=[18 25 37]

我想得到(间距清晰):

C=[12 13 14 15 16 17 18    20 21 22 23 24 25    34 35 36 37]

Answer 1

假设A并且B按升序排序B(i) < A(i+1)然后保持:

idx = zeros(1,max(B)+1);
idx(A) = 1;
idx(B+1) = -1;

C = find(cumsum(idx))

为了解决丹尼斯在评论中提到的问题:

m = min(A)-1;
A = A-m;
B = B-m;

idx = zeros(1,max(B)+1);
idx(A) = 1;
idx(B+1) = -1;

C = find(cumsum(idx)) + m;

Answer 2

cumsum 基于通用案例的方法(负数或重叠) -

%// Positions in intended output array at which group shifts
intv = cumsum([1 B-A+1])

%// Values to be put at those places with intention of doing cumsum at the end
put_vals = [A(1) A(2:end) - B(1:end-1)]

%// Get vector of ones and put_vals
id_arr = ones(1,intv(end)-1)
id_arr(intv(1:end-1)) = put_vals

%// Final output with cumsum of id_arr
out = cumsum(id_arr)

样品运行 -

>> A,B
A =
    -2    -3     1
B =
     5    -1     3
>> out
out =
    -2    -1     0     1     2     3     4     5    -3    -2    -1     1     2     3

标杆

这里有一个运行测试后warming-up tic-toc上市,以解决问题为大尺寸的各种做法A和B-

%// Create inputs
A = round(linspace(1,400000000,200000));
B = round((A(1:end-1) + A(2:end))/2);
B = [B A(end)+B(1)];

disp('------------------ Divakar Method')
 .... Proposed approach in this solution

disp('------------------ Dan Method')
tic
idx = zeros(1,max(B)+1);
idx(A) = 1;
idx(B+1) = -1;
C = find(cumsum(idx));
toc, clear C idx

disp('------------------ Santhan Method')
tic
In = [A;B];
difIn = diff(In);
out1 = bsxfun(@plus, (0:max(difIn)).',A);            %//'
mask = bsxfun(@le, (1:max(difIn)+1).',difIn+1);     %//'
out1 = out1(mask).';  %//'
toc, clear out1 mask difIn In

disp('------------------ Itamar Method')
tic
C = cell2mat(cellfun(@(a,b){a:b},num2cell(A),num2cell(B)));
toc, clear C

disp('------------------ dlavila Method')
tic
C = cell2mat(arrayfun(@(a,b)a:b, A, B, 'UniformOutput', false));
toc

运行时

------------------ Divakar Method
Elapsed time is 0.793758 seconds.
------------------ Dan Method
Elapsed time is 2.640529 seconds.
------------------ Santhan Method
Elapsed time is 1.662889 seconds.
------------------ Itamar Method
Elapsed time is 2.524527 seconds.
------------------ dlavila Method
Elapsed time is 2.096454 seconds.