Dot Product of Two Vectors

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.

सीमाएँ

1 ≤ length of a = length of b ≤ 1,000

-1,000 ≤ each value ≤ 1,000

उदाहरण

इनपुट:
a = [1.0, 2.0, 3.0]
b = [4.0, 5.0, 6.0]

अपेक्षित आउटपुट:
expected = 32.0

इनपुट:
std::vector<double> a = {1.0, 2.0, 3.0};
std::vector<double> b = {4.0, 5.0, 6.0};

अपेक्षित आउटपुट:
double expected = 32.0;

इनपुट:
double[] a = new double[] {1.0, 2.0, 3.0};
double[] b = new double[] {4.0, 5.0, 6.0};

अपेक्षित आउटपुट:
double expected = 32.0;

इनपुट:
a = [0.5, -1.5]
b = [2.0, 4.0]

अपेक्षित आउटपुट:
expected = -5.0

इनपुट:
std::vector<double> a = {0.5, -1.5};
std::vector<double> b = {2.0, 4.0};

अपेक्षित आउटपुट:
double expected = -5.0;

इनपुट:
double[] a = new double[] {0.5, -1.5};
double[] b = new double[] {2.0, 4.0};

अपेक्षित आउटपुट:
double expected = -5.0;

संदर्भ

यह चुनौती CodeUtility के लिए अनुकूलित की गई है। ऊपर दिए गए स्टेटमेंट और सीमाओं का पालन करें।

• Michael Nielsen, Neural Networks and Deep Learning
• Goodfellow, Bengio and Courville, Deep Learning