Vector hadamard

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

Multiply two equal-length finite-number vectors elementwise (Hadamard product).

Use when you need to: vector hadamard product · elementwise vector multiplication · pointwise vector product.

Supported

• vector hadamard product
• elementwise vector multiplication
• pointwise vector product

Not supported

• vectors of different lengths
• dot product (use vector-dot)
• 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 product 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": [
    1,
    2,
    3
  ],
  "b": [
    4,
    5,
    6
  ]
}

Response:

{
  "result": {
    "result": [
      4,
      10,
      18
    ]
  }
}

How to call it

MCP

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

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

HTTP (no key)

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

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

CLI

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

Get the client at /clients/cli/.

Related tools

• Matrix hadamard: Multiply two equal-shape finite-number matrices elementwise (Hadamard product).
• Matrix multiply: Multiply an MxK finite-number matrix by a KxN finite-number matrix, producing an MxN matrix.
• 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 cross: Compute the 3-dimensional cross product of two finite-number vectors.
• Vector dot: Compute the dot (scalar) product of two equal-length finite-number vectors.