Weighted Sum Scalarization

Problem

Weighted sum scalarization combines a multi-objective vector into a single value sum_i w_i f_i.

Given the objectives and nonnegative weights, return the scalarized value.

Hint

A plain dot product of objectives and weights.

case 1

in: [[1,2],[0.5,0.5]]

expected: 1.5

case 2

in: [[3,1,4],[1,0,2]]

expected: 11

case 3

in: [[0],[5]]

expected: 0

Starter codePython

def weighted_sum_scalarization(values, weights):
    # Your code here
    pass

3 test cases · run your code against them in the editor