# right bottom

## Description

Get X, Y from right, bottom corner from rectangle

## Inputs

• Rectangle - X
• Rectangle - Y
• Rectangle - width
• Rectangle - height

## Outputs

• right bottom corner - X
• right bottom corner - Y

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 Rectangle - X: 3 Rectangle - Y: 1 Rectangle - width: 1 Rectangle - height: 1
 right bottom corner - X: 4 right bottom corner - Y: 2
2.
 Rectangle - X: 1 Rectangle - Y: 4 Rectangle - width: 4 Rectangle - height: 2
 right bottom corner - X: 5 right bottom corner - Y: 6
3.
 Rectangle - X: 2 Rectangle - Y: 1 Rectangle - width: 1 Rectangle - height: 2
 right bottom corner - X: 3 right bottom corner - Y: 3

## Applicable neurons

• Plus (x + y)
• Minus (x - y)
• Multiple (x × y)
• Division (x ÷ y)
• Absolute value
• Rectangle - content
• tag div
• (a, b)
• Contains string word A or B?
• character \$
• \\D
• Contains string substring?
• null

## 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()];
}

/**
* right bottom: Get X, Y from right, bottom corner from rectangle
*
* @param x1 Rectangle - X
* @param x2 Rectangle - Y
* @param x3 Rectangle - width
* @param x4 Rectangle - height
* @return {Array}
*/
function neuron837(x1, x2, x3, x4)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;

arr = neuron1(outputs[1], outputs[3]);
outputs[4] = arr[0];

arr = neuron1(outputs[0], outputs[2]);
outputs[5] = arr[0];

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

```