Hypot Icon
Mathematical.Hypot
HypotA component that computes the Euclidean norm (hypotenuse) of two input signals.
Description
The Hypot block computes the Euclidean norm of inputs u1 and u2 using the built-in hypot() function. The output y represents the length of the vector formed by u1 and u2, computed as: y = hypot(u1, u2) = sqrt(u1^2 + u2^2).
Variables
u1(t): First input signalu2(t): Second input signaly(t): Output signal (Euclidean norm of u1 and u2)
Examples
- u1 = 3, u2 = 4 → y = 5.0 (classic 3-4-5 triangle)
- u1 = 6, u2 = 8 → y = 10.0
- u1 = 0, u2 = 5 → y = 5.0
- u1 = -3, u2 = 4 → y = 5.0 (signs don't affect magnitude)
This component extends from BlockComponents.SI2SO
Usage
PrimitiveComponents.Mathematical.Hypot()
Connectors
u1- This connector represents a real signal as an input to a component (RealInput)u2- This connector represents a real signal as an input to a component (RealInput)y- This connector represents a real signal as an output from a component (RealOutput)
Behavior
\[ \begin{align} y\left( t \right) &= hypot\left( \mathtt{u1}\left( t \right), \mathtt{u2}\left( t \right) \right) \end{align} \]
Source
"""
Hypot
A component that computes the Euclidean norm (hypotenuse) of two input signals.
# Description
The Hypot block computes the Euclidean norm of inputs `u1` and `u2` using the built-in `hypot()` function.
The output `y` represents the length of the vector formed by `u1` and `u2`, computed as:
y = hypot(u1, u2) = sqrt(u1^2 + u2^2).
# Variables
- `u1(t)`: First input signal
- `u2(t)`: Second input signal
- `y(t)`: Output signal (Euclidean norm of u1 and u2)
# Examples
- u1 = 3, u2 = 4 → y = 5.0 (classic 3-4-5 triangle)
- u1 = 6, u2 = 8 → y = 10.0
- u1 = 0, u2 = 5 → y = 5.0
- u1 = -3, u2 = 4 → y = 5.0 (signs don't affect magnitude)
"""
component Hypot
extends BlockComponents.SI2SO()
relations
y = hypot(u1, u2)
metadata {
"Dyad": {
"experiments": {},
"tests": {},
"labels": [
{
"label": "$(instance)",
"x": 500,
"y": 1100,
"rot": 0,
"layer": "icon",
"attrs": {}
}
],
"icons": {"default": "dyad://PrimitiveComponents/Hypot.svg"},
"path": {},
"doc": {"behavior": true}
}
}
end
Flattened Source
"""
Hypot
A component that computes the Euclidean norm (hypotenuse) of two input signals.
# Description
The Hypot block computes the Euclidean norm of inputs `u1` and `u2` using the built-in `hypot()` function.
The output `y` represents the length of the vector formed by `u1` and `u2`, computed as:
y = hypot(u1, u2) = sqrt(u1^2 + u2^2).
# Variables
- `u1(t)`: First input signal
- `u2(t)`: Second input signal
- `y(t)`: Output signal (Euclidean norm of u1 and u2)
# Examples
- u1 = 3, u2 = 4 → y = 5.0 (classic 3-4-5 triangle)
- u1 = 6, u2 = 8 → y = 10.0
- u1 = 0, u2 = 5 → y = 5.0
- u1 = -3, u2 = 4 → y = 5.0 (signs don't affect magnitude)
"""
component Hypot
"First real-valued input signal"
u1 = RealInput() {
"Dyad": {
"placement": {
"icon": {"iconName": "default", "x1": -50, "y1": 150, "x2": 50, "y2": 250, "rot": 0},
"diagram": {"iconName": "default", "x1": -100, "y1": 150, "x2": 0, "y2": 250, "rot": 0}
}
}
}
"Second real-valued input signal"
u2 = RealInput() {
"Dyad": {
"placement": {
"icon": {"iconName": "default", "x1": -100, "y1": 750, "x2": 0, "y2": 850, "rot": 0},
"diagram": {"iconName": "default", "x1": -100, "y1": 750, "x2": 0, "y2": 850, "rot": 0}
}
}
}
"Real-valued output signal"
y = RealOutput() {
"Dyad": {
"placement": {
"icon": {"iconName": "default", "x1": 1000, "y1": 450, "x2": 1100, "y2": 550, "rot": 0},
"diagram": {"iconName": "default", "x1": 1000, "y1": 450, "x2": 1100, "y2": 550, "rot": 0}
}
}
}
relations
y = hypot(u1, u2)
metadata {
"Dyad": {
"labels": [
{
"label": "$(instance)",
"x": 500,
"y": 1100,
"rot": 0,
"layer": "icon",
"attrs": {}
}
],
"experiments": {},
"tests": {},
"icons": {"default": "dyad://PrimitiveComponents/Hypot.svg"},
"path": {},
"doc": {"behavior": true}
}
}
endTest Cases
No test cases defined.
Related
- Examples
- Experiments
- Analyses