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acos vs atan
(version: 0)
acos vs atan
Comparing performance of:
acos vs atan
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
acos vs atan
Script Preparation code:
var N = 1000000; var x = new Float32Array(N); var y = new Float32Array(N); for (var i = 0; i < N; ++i ) { x[i] = 100* Math.random(); y[i] = 100* Math.random(); }
Tests:
acos
for (var i = 0; i < N; ++i) { Math.acos(x[i] / Math.sqrt(x[i]*x[i] + y[i]*y[i])); }
atan
for (var i = 0; i < N; ++i) { Math.atan(x[i], y[i]); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
acos
atan
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
4 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36 OPR/126.0.0.0 (Edition developer)
Browser/OS:
Opera 126 on Windows
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Test name
Executions per second
acos
56.4 Ops/sec
atan
114.9 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases. **Benchmark Definition Overview** The provided JSON defines two JavaScript microbenchmarks: `acos` and `atan`. Both benchmarks are designed to measure the performance of these mathematical functions in a loop. **Test Case 1: acos** The `acos` test case iterates over a large array (`N = 1000000`) containing random values, calculates the inverse cosine of each value using the formula: `Math.acos(x[i] / Math.sqrt(x[i]*x[i] + y[i]*y[i]));` This is the benchmark definition. **Test Case 2: atan** The `atan` test case also iterates over a large array (`N = 1000000`) containing random values, calculates the inverse tangent of each pair of values (x and y) using the formula: `Math.atan(x[i], y[i]);` This is the benchmark definition. **Comparison of Options** The two benchmarks compare the performance of `acos` and `atan` functions in JavaScript. The choice between these two functions depends on the specific use case and requirements. Pros and Cons of Each Approach: * **acos**: The inverse cosine function (`Math.acos`) is more expensive than the inverse tangent function (`Math.atan`) due to its higher mathematical complexity. + Pros: `acos` is often used in scenarios where the input angle is close to 0 or π, making it a good choice for certain types of calculations. + Cons: It's slower and less efficient than `atan`. * **atan**: The inverse tangent function (`Math.atan`) is generally faster and more efficient than `acos`, but it may not be suitable for all use cases where the input angle is close to 0 or π. **Library Usage** Neither of the provided benchmark definitions uses any external libraries. Both tests are self-contained, relying on built-in JavaScript functions (`Math`). **Special JS Features/Syntax** There are no special JavaScript features or syntax used in these benchmarks. The code follows standard JavaScript conventions and does not utilize any advanced features like async/await, closures, or functional programming. **Alternatives** Other alternatives to `acos` and `atan` include: * Using libraries like MathJS or numjs for high-performance numerical computations. * Implementing custom inverse cosine and tangent functions using iterative methods (e.g., Newton's method). * Utilizing specialized hardware acceleration, such as GPU-based implementations, to improve performance. Keep in mind that these alternatives might add additional complexity and dependencies to your codebase.
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