#includeIn this example, the two vectors `v1` and `v2` are initialized with integer values and the `std::inner_product` algorithm is used to calculate their dot product. The `inner_product` function takes four arguments: the beginning and end iterators of the first vector, the beginning iterator of the second vector, and an initial value for the dot product. In this case, the initial value is set to 0. Other C++ libraries that may also have a vector dot function include BLAS (Basic Linear Algebra Subprograms) and Eigen, which are both popular libraries for linear algebra operations.#include #include int main() { std::vector v1 = {1, 2, 3, 4, 5}; std::vector v2 = {5, 4, 3, 2, 1}; int dot = std::inner_product(v1.begin(), v1.end(), v2.begin(), 0); std::cout << "Dot product: " << dot << std::endl; return 0; }