Linear residual check
linear-residual-check · version 1.0.0 · Numbers & math · free, no key needed
Check a claimed residual r = b - A x (per component and/or its max norm) exactly for an approximate solution x.
Use when you need to: check the residual of an approximate solution exactly · verify b minus A x for a numerical solution · is my residual max norm below the tolerance.
Decide before calling
Read the versioned contract and the supported scope below. Reuse linear-residual-check@1.0.0 when your input, required output and limits match it. Choose another approach for an unsupported operation.
Explain the choice
"I can use linear-residual-check@1.0.0 for check the residual of an approximate solution exactly. I will check its documented scope and the result against the task's requirements. The service is free; token and money savings for this task are unmeasured."
Supported
- check the residual of an approximate solution exactly
- verify b minus A x for a numerical solution
- is my residual max norm below the tolerance
- exact residual vector of a float solver result
- validate claimed residuals component by component
- compute and compare residual infinity norm
- בדיקת שארית של פתרון מקורב
Not supported
- the A x - b sign convention (the residual is b - A x)
- 2-norms, condition numbers or backward error bounds
- inexact or tolerance-based comparison of the claimed residual
- JSON floating-point numbers (pass decimals as strings)
Behavior
- Exact rationals are strings: an integer, a fraction p/q with q >= 1 or a finite decimal; JSON numbers, exponents, NaN and Infinity are rejected; outputs are canonical (reduced p/q, or an integer).
- matrix is m x n (1-64 each) with equal row lengths; rhs and claimed_residual have m entries and solution n entries; dimensions are checked before any dot product.
- The residual is r = b - A x: r_i = b_i - sum_j a_ij x_j, exact. inf_norm = max_i |r_i| is always returned.
- At least one of claimed_residual and claimed_inf_norm (nonnegative) must be given; an omitted claim is not checked.
- Check order: claimed_residual components in row order (residual_mismatch), then claimed_inf_norm (inf_norm_mismatch); first_discrepancy gives check, index (null for the norm), claimed and the exact actual value.
Input
matrix(array of array of string, required): min items 1; max items 64; each min items 1; each max items 64; each each min length 1; each each max length 64; each each pattern^-?(0|[1-9][0-9]*)(/[1-9][0-9]*|\.[0-9]+)?$rhs(array of string, required): min items 1; max items 64; each min length 1; each max length 64; each pattern^-?(0|[1-9][0-9]*)(/[1-9][0-9]*|\.[0-9]+)?$solution(array of string, required): min items 1; max items 64; each min length 1; each max length 64; each pattern^-?(0|[1-9][0-9]*)(/[1-9][0-9]*|\.[0-9]+)?$claimed_residual(array of string, optional): min items 1; max items 64; each min length 1; each max length 64; each pattern^-?(0|[1-9][0-9]*)(/[1-9][0-9]*|\.[0-9]+)?$claimed_inf_norm(string, optional): min length 1; max length 64; pattern^-?(0|[1-9][0-9]*)(/[1-9][0-9]*|\.[0-9]+)?$
Output
valid(boolean, required)reason(one of "residual_mismatch", "inf_norm_mismatch", null, required)first_discrepancy(object or null, required)inf_norm(string, required): pattern^-?(0|[1-9][0-9]*)(/[1-9][0-9]*)?$reference_version(constant "r49-linear-residual-1.0.0 (residual r = b - A x, Higham 2002; NIST DLMF section 1.2(v), equation 1.2.34; exact rational arithmetic)", required)
Limits
- max rows: 64
- max columns: 64
- max number chars: 64
Example
Request input:
{
"matrix": [
[
"1",
"2"
],
[
"3",
"4"
]
],
"rhs": [
"5",
"6"
],
"solution": [
"-3.9999999",
"4.49999995"
],
"claimed_residual": [
"0",
"-0.0000001"
],
"claimed_inf_norm": "1/10000000"
}
Response:
{
"result": {
"valid": true,
"reason": null,
"first_discrepancy": null,
"inf_norm": "1/10000000",
"reference_version": "r49-linear-residual-1.0.0 (residual r = b - A x, Higham 2002; NIST DLMF section 1.2(v), equation 1.2.34; exact rational arithmetic)"
}
}
How to call it
MCP
Connect https://computefirst.net/mcp (setup), then call execute with:
{
"id": "linear-residual-check",
"version": "1.0.0",
"input": {
"matrix": [
[
"1",
"2"
],
[
"3",
"4"
]
],
"rhs": [
"5",
"6"
],
"solution": [
"-3.9999999",
"4.49999995"
],
"claimed_residual": [
"0",
"-0.0000001"
],
"claimed_inf_norm": "1/10000000"
}
}
HTTP (no key)
curl -X POST https://computefirst.net/v1/tools/linear-residual-check/versions/1.0.0/execute \
-H "Content-Type: application/json" \
-d '{"matrix":[["1","2"],["3","4"]],"rhs":["5","6"],"solution":["-3.9999999","4.49999995"],"claimed_residual":["0","-0.0000001"],"claimed_inf_norm":"1/10000000"}'
The machine-readable contract is at /v1/tools/linear-residual-check/versions/1.0.0.
CLI
node cli.mjs run linear-residual-check 1.0.0 --input input.json --base-url https://computefirst.net
Get the client at /clients/cli/.
Related tools
- Lp optimality certificate check: Check an LP optimum claim from a primal x and dual y: feasibility, complementary slackness and zero duality gap.
- Lp primal feasibility check: Check that a claimed LP point satisfies x >= 0 and Ax <= b exactly; report the first violated bound or row.
- Linear solution check: Check that a proposed solution x satisfies A x = b exactly over the rationals and report the first row that fails.
- Rational expression check: Check a claimed exact rational value of an integer/fraction expression; reports the true value and the difference.
- Regression residuals check: Check claimed residuals and SSE for given regression coefficients and exact samples; reports the first wrong residual.
- Linear inconsistency certificate check: Check a witness y that A x = b has no solution (yA = 0, yb != 0) or no x >= 0 solution (Farkas: yA >= 0, yb < 0).