√¯(x² - y²)

Inputs

  • x
  • y

Outputs

  • √¯(x² - y²)

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
x: 3
y: 3
√¯(x² - y²): 0
2.
x: 5
y: 4
√¯(x² - y²): 3
3.
x: 0
y: 4
√¯(x² - y²): 4
4.
x: 81
y: 0
√¯(x² - y²): 81

Applicable neurons

  • Minus (x - y)
  • x to the 2 (x²)
  • Square root (√¯)
  • Force
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  • when sentence contains a, return b, else return c
  • [x]
  • convert HH:MM:SS into seconds

Algorithm

Test

Code made by AI:
/**
 * Multiple (x × y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron3(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '*'+Number(x2)).toString()];
}

/**
 * x to the 2 (x²): x squared
 * 
 * @param x1 Number X
 * @return {Array}
 */
function neuron7(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron3(outputs[0], outputs[0]);
  outputs[1] = arr[0];

  return[outputs[1]];
}


/**
 * Minus (x - y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron2(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '-'+Number(x2)).toString()];
}

/**
 * character .: 
 *
 * @return {Array}
 */
function neuron510()
{
return['.'];
}

/**
 * 5: 
 *
 * @return {Array}
 */
function neuron505()
{
return [5];
}

/**
 * Connect - two inputs: 
 *
 * @param x1 Variable A
 * @param x2 Variable B
 * @return {Array}
 */
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}

/**
 * Half (0.5): 
 * 
 * @return {Array}
 */
function neuron522()
{
  var outputs = [];

  arr = neuron510();
  outputs[0] = arr[0];

  arr = neuron505();
  outputs[1] = arr[0];

  arr = neuron520(outputs[0], outputs[1]);
  outputs[2] = arr[0];

  return[outputs[2]];
}


/**
 * x to the a  (xª): value of the number x to be the power of a
 *
 * @param x1 x - The base
 * @param x2 a - The exponent
 * @return {Array}
 */
function neuron18(x1, x2)
{
return[Math.pow(Number(x1), Number(x2))];
}

/**
 * Square root (√¯): 
 * 
 * @param x1 Number X
 * @return {Array}
 */
function neuron554(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron522();
  outputs[1] = arr[0];

  arr = neuron18(outputs[0], outputs[1]);
  outputs[2] = arr[0];

  return[outputs[2]];
}


/**
 * √¯(x² - y²): 
 * 
 * @param x1 x
 * @param x2 y
 * @return {Array}
 */
function neuron661(x1, x2)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;

  arr = neuron7(outputs[1]);
  outputs[2] = arr[0];

  arr = neuron7(outputs[0]);
  outputs[3] = arr[0];

  arr = neuron2(outputs[3], outputs[2]);
  outputs[4] = arr[0];

  arr = neuron7(outputs[4]);
  outputs[5] = arr[0];

  arr = neuron554(outputs[5]);
  outputs[6] = arr[0];

  arr = neuron554(outputs[6]);
  outputs[7] = arr[0];

  return[outputs[7]];
}


Code made by AI:

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