Benchmark: Math.pow vs for loop for integer powers

HTML Preparation code:


<div id='aaa1'></div>

Script Preparation code:

function MYpow(dddn1,dddn2){
  var dddn3=1;
  while(dddn2>0){
    dddn3*=dddn1;dddn2--;
  }
  return dddn3;
}
function MYpow2(dddn1,dddn2){
  var dddn3=1;
  while(dddn2>0){
    if(dddn2-dddn2^1){dddn3*=dddn1;dddn1*=dddn1;}
    dddn2=dddn2>>1;
  }
  return dddn3;
}

Tests:

Math.pow
var x=[]; for(var i=0;i<77;i++){ for(var i2=0;i2<77;i2++){ x.push(Math.pow(i,i2)); } } document.getElementById("aaa1").innerHTML=x;
MYpow
var x=[]; for(var i=0;i<77;i++){ for(var i2=0;i2<77;i2++){ x.push(MYpow(i,i2)); } } document.getElementById("aaa1").innerHTML=x;
MYpow2
var x=[]; for(var i=0;i<77;i++){ for(var i2=0;i2<77;i2++){ x.push(MYpow2(i,i2)); } } document.getElementById("aaa1").innerHTML=x;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.pow
MYpow
MYpow2

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided JSON represents a benchmark with three individual test cases, each comparing a different approach for calculating integer powers.

**Test Case 1: Math.pow**

In this test case, the `Math.pow` function is used to calculate `i^i2`, where `i` ranges from 0 to 76. The resulting values are stored in an array and then printed to a HTML element with the ID "aaa1".

The approach tested here is using the built-in `Math.pow` function, which calculates `(x ^ y) % MOD`, where `x` is the base (in this case, `i`) and `y` is the exponent (in this case, `i2`). This approach has a fixed time complexity of O(1) for each calculation.

Pros:

* Fastest execution time
* Easy to understand and implement

Cons:

* May be less efficient due to the overhead of calling the `Math.pow` function
* May not be suitable for large values of `i` or `i2`

**Test Case 2: MYpow**

In this test case, a custom function `MYpow(i, i2)` is used to calculate `i^i2`. This implementation uses a while loop to repeatedly multiply the base (`i`) by itself until the exponent (`i2`) reaches zero.

Pros:

* May be faster than using `Math.pow` due to reduced overhead
* Can be optimized for specific use cases

Cons:

* Less efficient than `Math.pow` in general, especially for large values of `i` or `i2`
* More complex to understand and implement

**Test Case 3: MYpow2**

In this test case, another custom function `MYpow2(i, i2)` is used to calculate `i^i2`. This implementation uses a while loop to repeatedly square the base (`i`) and divide the exponent by 2 until it reaches zero.

Pros:

* May be faster than using `Math.pow` due to reduced overhead
* Can be optimized for specific use cases

Cons:

* Less efficient than `MYpow` in general, especially for large values of `i` or `i2`
* More complex to understand and implement

**Library:**

None. The custom functions `MYpow` and `MYpow2` do not rely on any external libraries.

**Special JavaScript Feature/Syntax:**

The custom implementations use the bitwise shift operator (`>>`) to divide the exponent by 2, which is a low-level optimization technique.

**Other Alternatives:**

* **Exponentiation by squaring**: This is an optimized algorithm for calculating powers, which can be faster than using `Math.pow` or the custom implementations.
* **Karatsuba multiplication**: This is an optimized algorithm for multiplying large numbers, which can be used to implement efficient exponentiation algorithms.

Note that the specific optimization techniques and algorithms used in this benchmark may not be relevant to real-world use cases, as the inputs are limited to small integers. However, they can provide a useful starting point for understanding the trade-offs between different approaches to exponentiation.

Related benchmarks:

Math.pow vs for loop for integer powers (version: 0)

Comparing performance of: Math.pow vs MYpow vs MYpow2

Created: 5 years ago by: Guest

Jump to the latest result

Math.pow

MYpow

MYpow2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):