In C++, merging and splicing sequences can effectively be achieved using the `std::vector` container, which is part of the Standard Template Library (STL). Merging involves combining two or more vectors into one, while splicing enables the insertion of elements from one vector into another at a specified position.
To merge two vectors, you can utilize the `insert()` method along with the `begin()` and `end()` iterators. Here’s an example illustrating how to do this:
#include <iostream>
#include <vector>
int main() {
std::vector vec1 = {1, 2, 3};
std::vector vec2 = {4, 5, 6};
vec1.insert(vec1.end(), vec2.begin(), vec2.end());
for(int num : vec1) {
std::cout << num << " ";
}
return 0;
}
Splicing involves inserting one vector's elements into another at a specified position. Here's how to do it:
#include <iostream>
#include <vector>
int main() {
std::vector vec1 = {1, 2, 3};
std::vector vec2 = {4, 5, 6};
// Splicing vec2 into vec1 at position 1
vec1.insert(vec1.begin() + 1, vec2.begin(), vec2.end());
for(int num : vec1) {
std::cout << num << " ";
}
return 0;
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?