How to select a value from a vector that satisfies certain conditions

Dear experts,

I have two 15*1 column vectors:

one represents a lower bound [1 2 3 4 5 1 2 3 4 5 1 2 3 4 5], and

another represents an upper bound [2 3 4 5 6 2 3 4 5 6 2 3 4 5 6]

and there is another vecor [1 2 3 4 5]

I then want to generate a column vector which each element is a value from the thrid vector that greater or equal to the lower bound and smaller than upperbound, i.e. from the above example I want to get a result of [1 2 3 4 5 1 2 3 4 5 1 2 3 4 5]

I was wondering what code can help me do this?

Thank you so much!

Answer 1

[Vilém Frynta]

% Your vectors
lower_bound = [1 2 3 4 5 1 2 3 4 5 1 2 3 4 5];
upper_bound = [2 3 4 5 6 2 3 4 5 6 2 3 4 5 6];
vec = [1 2 3 4 5];

% Make 'vec' same length
vec = repmat(vec,[1 3])

vec = 1×15

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

% Apply conditions
result = vec(vec >= lower_bound & vec < upper_bound)

result = 1×15

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

Maybe like this? :-)

It definitely could get more complex depending on what other vectors you are expecting.

[Rouyu Chen]

It works, Thank you so much!

I was wondering if there is any other way to solve this, for example, when we cannot repeat the vector to make the length same as the lower bound and upper bound:

Lower_bound=[1 2 2 3 4 5 5]

Upper_bound=[2 3 3 4 5 6 6]

vec=[1 2 3 4 5]

Thanks again!