Vector approx equal
vector-approx-equal · version 1.0.0 · Vectors & matrices · free, no key needed
Compare two equal-length finite-number vectors for approximate equality within an absolute tolerance.
Use when you need to: vector approximate equality · compare vectors within tolerance · floating-point vector equality.
Supported
- vector approximate equality
- compare vectors within tolerance
- floating-point vector equality
Not supported
- vectors of different lengths
- relative (percentage) tolerance
- exact bitwise equality
Behavior
- Inputs a and b are arrays of finite JSON numbers with the same length, from 1 to 64 entries, magnitude bounded to at most 1000000.
- Optional input tolerance (default 1e-9, range 0 to 1) is an absolute per-entry threshold.
- max_absolute_difference is max(|a[i] - b[i]|) across all entries, computed in IEEE-754 double precision.
- equal is true exactly when max_absolute_difference is less than or equal to tolerance.
Input
a(array of number, required): min items 1; max items 64b(array of number, required): min items 1; max items 64tolerance(number, optional): min 0; max 1
Output
equal(boolean, required)max_absolute_difference(number, required)
Limits
- max dim: 64
- max abs value: 1000000
Example
Request input:
{
"a": [
1,
2,
3
],
"b": [
1,
2,
3.5
],
"tolerance": 1
}
Response:
{
"result": {
"equal": true,
"max_absolute_difference": 0.5
}
}
How to call it
MCP
Connect https://computefirst.net/mcp (setup), then call execute with:
{
"id": "vector-approx-equal",
"version": "1.0.0",
"input": {
"a": [
1,
2,
3
],
"b": [
1,
2,
3.5
],
"tolerance": 1
}
}
HTTP (no key)
curl -X POST https://computefirst.net/v1/tools/vector-approx-equal/versions/1.0.0/execute \
-H "Content-Type: application/json" \
-d '{"a":[1,2,3],"b":[1,2,3.5],"tolerance":1}'
The machine-readable contract is at /v1/tools/vector-approx-equal/versions/1.0.0.
CLI
node cli.mjs run vector-approx-equal 1.0.0 --input input.json --base-url https://computefirst.net
Get the client at /clients/cli/.
Related tools
- Vector add: Add two equal-length finite-number vectors elementwise.
- Vector angle: Compute the angle in radians between two equal-length finite-number vectors.
- Vector dot: Compute the dot (scalar) product of two equal-length finite-number vectors.
- Vector lerp: Linearly interpolate (or extrapolate) between two equal-length finite-number vectors.
- Vector outer product: Compute the outer product of two finite-number vectors, producing a matrix.
- Matrix vector multiply: Multiply an MxN finite-number matrix by a length-N finite-number vector, producing a length-M vector.