Vector subtract

vector-subtract · version 1.0.0 · Vectors & matrices · free, no key needed

Subtract two equal-length finite-number vectors elementwise (a minus b).

Use when you need to: vector subtraction · elementwise vector difference · a minus b.

Supported

• vector subtraction
• elementwise vector difference
• a minus b

Not supported

• vectors of different lengths
• complex-valued vectors
• arbitrary-precision arithmetic

Behavior

• Inputs a and b are arrays of finite JSON numbers with the same length, from 1 to 64 entries.
• Each entry magnitude is bounded to at most 1000000 in absolute value.
• The result is the elementwise IEEE-754 double-precision difference result[i] = a[i] - b[i].
• A result entry of -0 is normalized to 0.

Input

• a (array of number, required): min items 1; max items 64
• b (array of number, required): min items 1; max items 64

Output

• result (array of number, required)

Limits

• max dim: 64
• max abs value: 1000000

Example

Request input:

{
  "a": [
    4,
    5,
    6
  ],
  "b": [
    1,
    2,
    3
  ]
}

Response:

{
  "result": {
    "result": [
      3,
      3,
      3
    ]
  }
}

How to call it

MCP

Connect https://computefirst.net/mcp (setup), then call execute with:

{
  "id": "vector-subtract",
  "version": "1.0.0",
  "input": {
    "a": [
      4,
      5,
      6
    ],
    "b": [
      1,
      2,
      3
    ]
  }
}

HTTP (no key)

curl -X POST https://computefirst.net/v1/tools/vector-subtract/versions/1.0.0/execute \
  -H "Content-Type: application/json" \
  -d '{"a":[4,5,6],"b":[1,2,3]}'

The machine-readable contract is at /v1/tools/vector-subtract/versions/1.0.0.

CLI

node cli.mjs run vector-subtract 1.0.0 --input input.json --base-url https://computefirst.net

Get the client at /clients/cli/.

Related tools

• Matrix subtract: Subtract two equal-shape finite-number matrices elementwise (a minus b).
• Matrix vector multiply: Multiply an MxN finite-number matrix by a length-N finite-number vector, producing a length-M vector.
• Vector add: Add two equal-length finite-number vectors elementwise.
• Vector hadamard: Multiply two equal-length finite-number vectors elementwise (Hadamard product).
• Vector projection: Compute the vector projection of a finite-number vector onto another.
• Vector scale: Multiply every entry of a finite-number vector by a scalar.