class Trig {
static cos(z) {
return Math.cos(z);
}
static sin(z) {
return Math.sin(z);
}
static tan(z) {
return Math.tan(z);
}
static cosh(z) {
return Math.cosh(z);
}
static sinh(z) {
return Math.sinh(z);
}
static tanh(z) {
return Math.tanh(z);
}
static acos(z) {
return Math.acos(z);
}
static asin(z) {
return Math.asin(z);
}
static atan(z) {
return Math.atan(z);
}
static acosh(z) {
return Math.acosh(z);
}
static asinh(z) {
return Math.asinh(z);
}
static atanh(z) {
return Math.atanh(z);
}
}
function cos(z) {
return Math.cos(z);
}
function sin(z) {
return Math.sin(z);
}
function tan(z) {
return Math.tan(z);
}
function cosh(z) {
return Math.cosh(z);
}
function sinh(z) {
return Math.sinh(z);
}
function tanh(z) {
return Math.tanh(z);
}
function acos(z) {
return Math.acos(z);
}
function asin(z) {
return Math.asin(z);
}
function atan(z) {
return Math.atan(z);
}
function acosh(z) {
return Math.acosh(z);
}
function asinh(z) {
return Math.asinh(z);
}
function atanh(z) {
return Math.atanh(z);
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
class | |
functions |
Test name | Executions per second |
---|---|
class | 298332.7 Ops/sec |
functions | 992537408.0 Ops/sec |
Let's break down the provided benchmark and explain what's being tested.
The benchmark compares two approaches to implement mathematical functions in JavaScript: static classes vs functions.
Static Classes
In this approach, we define a class Trig
with static methods for each mathematical function (e.g., cos(z)
, sin(z)
, etc.). These methods simply call the corresponding built-in Math
method to perform the calculation.
Functions
In this approach, we define separate named functions for each mathematical function (e.g., function cos(z) { ... }
). These functions also call the corresponding built-in Math
method to perform the calculation.
What's being tested?
The benchmark measures the performance difference between these two approaches. Specifically, it tests:
Pros and Cons:
Static Classes:
Pros:
Cons:
Functions:
Pros:
Cons:
Other Considerations:
executionsPerSecond
metric measures performance in terms of raw speed. However, this may not accurately reflect real-world use cases or applications where code readability, maintainability, and scalability are more important.Libraries and Special JS Features:
There are no libraries used in this benchmark. However, the use of named functions (function cos(z) { ... }
) is a common JavaScript feature that can be used to define reusable functions.
Alternatives:
Other approaches to implement mathematical functions in JavaScript include:
These alternatives can offer trade-offs between performance, conciseness, flexibility, and maintainability, depending on the specific use case and requirements.