In web development, especially in hybrid projects involving complex computing or data visualization (PHP and JavaScript hybrid development), mathematical functions that go beyond simple addition, subtraction, multiplication and division often play a key role. This article will explore the role of cosh function (hyperbolic cosine function) in this type of project, and demonstrate its practical application in front-end and back-end collaboration through examples.
cosh is the abbreviation of hyperbolic cosine function, and its mathematical definition is:
cosh(x) = (e^x + e^(-x)) / 2
This is an even function. The image is similar to the shape of a standard cosine function but is not periodically employed in scenarios such as graphics rendering, signal processing, simulated physical models, etc.
In PHP, cosh() is a built-in mathematical function that calculates the hyperbolic cosine value of a number. For example:
<?php
$x = 2;
$result = cosh($x);
echo "cosh($x) = $result";
?>
The output is:
cosh(2) = 3.7621956910836
JavaScript also provides the Math.cosh() function to calculate hyperbolic cosine:
let x = 2;
let result = Math.cosh(x);
console.log(`cosh(${x}) = ${result}`);
In some scientific computing applications, backend (PHP) and frontend (JavaScript) need to calculate a certain mathematical expression separately to ensure that the logic of both sides is consistent. For example, in biomedical simulation and engineering simulation, some calculations use cosh .
Backend PHP Verification:
<?php
$input = $_GET['value'];
$serverResult = cosh($input);
echo json_encode(['server_cosh' => $serverResult]);
?>
Front-end request and verification:
fetch("https://gitbox.net/calculate.php?value=2")
.then(response => response.json())
.then(data => {
const clientResult = Math.cosh(2);
if (Math.abs(clientResult - data.server_cosh) < 0.0001) {
console.log("The results are consistent");
} else {
console.error("Inconsistent calculation results");
}
});
When images using cosh models need to be drawn, such as "suspension bridge curve", PHP may be used to calculate static data, and JavaScript is responsible for dynamic drawing.
PHP output data points (assuming every 0.1 interval):
<?php
$data = [];
for ($x = -2; $x <= 2; $x += 0.1) {
$data[] = ['x' => $x, 'y' => cosh($x)];
}
header('Content-Type: application/json');
echo json_encode($data);
?>
JavaScript drawing:
fetch("https://gitbox.net/graph_data.php")
.then(res => res.json())
.then(points => {
const canvas = document.getElementById("plot");
const ctx = canvas.getContext("2d");
points.forEach(p => {
const x = p.x * 50 + 150; // Show zoom and pan
const y = 200 - p.y * 20;
ctx.fillRect(x, y, 2, 2);
});
});
Although cosh seems unpopular, its accuracy and symmetry make it an effective tool for dealing with problems such as natural logarithmic growth and calculating smooth curves in mixed projects involving physics, engineering, graphics, and finance. PHP is responsible for computing and ensuring security, and JavaScript provides user interaction and visualization, which is an example of front-end and back-end collaboration. By rationally applying cosh , it can bring higher mathematical expressiveness and user experience to the project.