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Dot Product of Two Vectors

Multiply two vectors element by element and add the results: the core operation of every neuron.

Cosa imparerai

  • Multiply vectors element by element and sum
  • Understand the core operation of a neuron
  • Work with number arrays

Problema

Mostra traduzione

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.

Vincoli

1 ≤ length of a = length of b ≤ 1,000

-1,000 ≤ each value ≤ 1,000

Esempi

Esempio 1
Input:
a = [1.0, 2.0, 3.0]
b = [4.0, 5.0, 6.0]

Output atteso:
expected = 32.0
Input:
std::vector<double> a = {1.0, 2.0, 3.0};
std::vector<double> b = {4.0, 5.0, 6.0};

Output atteso:
double expected = 32.0;
Input:
double[] a = new double[] {1.0, 2.0, 3.0};
double[] b = new double[] {4.0, 5.0, 6.0};

Output atteso:
double expected = 32.0;

Spiegazione

1×4 + 2×5 + 3×6 = 4 + 10 + 18 = 32.

Esempio 2
Input:
a = [0.5, -1.5]
b = [2.0, 4.0]

Output atteso:
expected = -5.0
Input:
std::vector<double> a = {0.5, -1.5};
std::vector<double> b = {2.0, 4.0};

Output atteso:
double expected = -5.0;
Input:
double[] a = new double[] {0.5, -1.5};
double[] b = new double[] {2.0, 4.0};

Output atteso:
double expected = -5.0;

Spiegazione

0.5×2 + (-1.5)×4 = 1 - 6 = -5.

Come affrontarlo

Prova prima da solo, poi apri un suggerimento alla volta.

Suggerimento 1

Multiply matching positions from the two lists and combine the results into one total.

Suggerimento 2

A single pass is enough because each pair contributes independently to the final value.

Suggerimento 3

Make sure the lists have the same length, and keep the accumulator in a numeric type that preserves decimals if needed.

Complessità attesa

O(n) time, O(1) extra space

Riferimenti

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