Sum of complex numbers

Inputs

  • 1. complex issue - the real number (a from "a+bi")
  • 1. complex number - imaginary unit (b from "a+bi")
  • 2. complex issue - the real number (a from "a+bi")
  • 2. complex number - imaginary unit (b from "a+bi")

Outputs

  • real number (a from "a+bi")
  • imaginary unit (b from "a+bi")

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1
1. complex issue - the real number (a from "a+bi"): 5
1. complex number - imaginary unit (b from "a+bi"): 8
2. complex issue - the real number (a from "a+bi"): 7
2. complex number - imaginary unit (b from "a+bi"): 2
real number (a from "a+bi"): 12
imaginary unit (b from "a+bi"): 10
2
1. complex issue - the real number (a from "a+bi"): 1
1. complex number - imaginary unit (b from "a+bi"): 1
2. complex issue - the real number (a from "a+bi"): 1
2. complex number - imaginary unit (b from "a+bi"): 1
real number (a from "a+bi"): 2
imaginary unit (b from "a+bi"): 2
3.
1. complex issue - the real number (a from "a+bi"): 1
1. complex number - imaginary unit (b from "a+bi"): 2
2. complex issue - the real number (a from "a+bi"): 3
2. complex number - imaginary unit (b from "a+bi"): 4
real number (a from "a+bi"): 4
imaginary unit (b from "a+bi"): 6

Applicable neurons

  • Plus (x + y)

Algorithm

Test

Code made by AI:
/**
 * Plus (x + y): The addition of two whole numbers is the total amount of those quantities combined.
 *
 * @param x1 first number
 * @param x2 second number
 * @return {Array}
 */
function neuron1(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '+'+Number(x2)).toString()];
}

/**
 * Sum of complex numbers: 
 * 
 * @param x1 1. complex issue - the real number (a from "a+bi")
 * @param x2 1. complex number - imaginary unit (b from "a+bi")
 * @param x3 2. complex issue - the real number (a from "a+bi")
 * @param x4 2. complex number - imaginary unit (b from "a+bi")
 * @return {Array}
 */
function neuron4(x1, x2, x3, x4)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;

  arr = neuron1(outputs[0], outputs[2]);
  outputs[4] = arr[0];

  arr = neuron1(outputs[1], outputs[3]);
  outputs[5] = arr[0];

  return[outputs[4], outputs[5]];
}


Code made by AI:

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