# Cosine - degrees

## Inputs

• angle in degrees

• cosine

## Neuron type

Best algorithm has been found - locked

## Patterns

Pattern Input Output
1.
 angle in degrees: 0
 cosine: 1
2.
 angle in degrees: 60
 cosine: 0.5
3.
 angle in degrees: 90
 cosine: 0

## Applicable neurons

• constant x.x
• Volume Of a Pyramid
• a < b
• logical riddle 7+3
• word largest
• word 11
• value is null
• Is it integer?

## Algorithm

### Test

```/**
* Pi (π) - 3.141592653589793:
*
* @return {Array}
*/
function neuron560()
{
math.config({number: 'BigNumber', precision: 64}); return[math.PI]; /* return [3.141592653589793] */
}

/**
* 0:
*
* @return {Array}
*/
function neuron500()
{
return [0];
}

/**
* 8:
*
* @return {Array}
*/
function neuron508()
{
return [8];
}

/**
* 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 neuron501()
{
return [1];
}

/**
* 180:
*
* @return {Array}
*/
function neuron559()
{
var outputs = [];

arr = neuron500();
outputs[0] = arr[0];

arr = neuron508();
outputs[1] = arr[0];

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

arr = neuron501();
outputs[3] = arr[0];

arr = neuron520(outputs[3], outputs[2]);
outputs[4] = arr[0];

return[outputs[4]];
}

/**
* 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()];
}

/**
* Division (x ÷ y): X / Y
*
* @param x1 first number
* @param x2 second number
* @return {Array}
*/
function neuron17(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '/'+Number(x2)).toString()];
}

/**
*
* @param x1 Degrees
* @return {Array}
*/
function neuron605(x1)
{
var outputs = [];
outputs[0] = x1;

arr = neuron560();
outputs[1] = arr[0];

arr = neuron559();
outputs[2] = arr[0];

arr = neuron3(outputs[1], outputs[0]);
outputs[3] = arr[0];

arr = neuron17(outputs[3], outputs[2]);
outputs[4] = arr[0];

return[outputs[4]];
}

/**
*
* @param x1 angle in radians
* @return {Array}
*/
function neuron556(x1)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval('cos('+Number(x1)+')').toString()];
}

/**
* Cosine - degrees:
*
* @param x1 angle in degrees
* @return {Array}
*/
function neuron594(x1)
{
var outputs = [];
outputs[0] = x1;

arr = neuron605(outputs[0]);
outputs[1] = arr[0];

arr = neuron605(outputs[0]);
outputs[2] = arr[0];

arr = neuron556(outputs[1]);
outputs[3] = arr[0];

return[outputs[3]];
}

```