Problema
Every neuron starts with the same calculation: multiply each input by its weight and add everything up. That is the dot product of two vectors:
a · b = a₁×b₁ + a₂×b₂ + … + aₙ×bₙ
Implement dot_product(a, b).
Input
a, b: Two lists of numbers with the same length.
Output
Return the dot product as a decimal number.
Restricciones
1 ≤ length of a = length of b ≤ 1,000
-1,000 ≤ each value ≤ 1,000
Ejemplos
Ejemplo 1
Entrada:
a = [1.0, 2.0, 3.0]
b = [4.0, 5.0, 6.0]
Salida esperada:
expected = 32.0Entrada:
std::vector<double> a = {1.0, 2.0, 3.0};
std::vector<double> b = {4.0, 5.0, 6.0};
Salida esperada:
double expected = 32.0;Entrada:
double[] a = new double[] {1.0, 2.0, 3.0};
double[] b = new double[] {4.0, 5.0, 6.0};
Salida esperada:
double expected = 32.0;Explicación
1×4 + 2×5 + 3×6 = 4 + 10 + 18 = 32.
Ejemplo 2
Entrada:
a = [0.5, -1.5]
b = [2.0, 4.0]
Salida esperada:
expected = -5.0Entrada:
std::vector<double> a = {0.5, -1.5};
std::vector<double> b = {2.0, 4.0};
Salida esperada:
double expected = -5.0;Entrada:
double[] a = new double[] {0.5, -1.5};
double[] b = new double[] {2.0, 4.0};
Salida esperada:
double expected = -5.0;Explicación
0.5×2 + (-1.5)×4 = 1 - 6 = -5.
Referencias
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