# -a + b; -a - b

• a
• b

• -a + b
• -a - b

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 a: 1 b: 2
 -a + b: 1 -a - b: -3
2.
 a: 0 b: 0
 -a + b: 0 -a - b: 0
3.
 a: 2 b: 1
 -a + b: -1 -a - b: -3
4.
 a: -1 b: 1
 -a + b: 2 -a - b: 0

## Applicable neurons

• Plus (x + y)
• Minus (x - y)
• x × (-1)
• a + b; a - b
• Sum of complex numbers
• character <
• right angled triangle, find Hypotenuse c, given a, b
• character c
• tag img
• get month from date (yyyy-mm-dd)
• get day from date (yyyy-mm-dd)

## Algorithm

### Test

```/**
* 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()];
}

/**
* 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()];
}

/**
* a + b; a - b:
*
* @param x1 a
* @param x2 b
* @return {Array}
*/
function neuron717(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;

arr = neuron1(outputs[1], outputs[0]);
outputs[2] = arr[0];

arr = neuron2(outputs[0], outputs[1]);
outputs[3] = arr[0];

return[outputs[2], outputs[3]];
}

/**
* character -:
*
* @return {Array}
*/
function neuron511()
{
return['-'];
}

/**
* 1:
*
* @return {Array}
*/
function neuron501()
{
return [1];
}

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

/**
* -1:
*
* @return {Array}
*/
function neuron574()
{
var outputs = [];

arr = neuron511();
outputs[0] = arr[0];

arr = neuron501();
outputs[1] = arr[0];

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

return[outputs[2]];
}

/**
* 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 × (-1):
*
* @param x1 x
* @return {Array}
*/
function neuron710(x1)
{
var outputs = [];
outputs[0] = x1;

arr = neuron574();
outputs[1] = arr[0];

arr = neuron3(outputs[0], outputs[1]);
outputs[2] = arr[0];

return[outputs[2]];
}

/**
* -a + b; -a - b:
*
* @param x1 a
* @param x2 b
* @return {Array}
*/
function neuron798(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;

arr = neuron717(outputs[1], outputs[0]);
outputs[2] = arr[0];

;   outputs[3] = arr[1];

arr = neuron710(outputs[2]);
outputs[4] = arr[0];

return[outputs[3], outputs[4]];
}

```