Statwerk
oss openblas dense minimum norm solve
Solves a bounded dense multi-output least-squares problem and returns the minimum-norm solution together with the diagnostics that say whether it can be trusted: numerical rank, the full singular value spectrum, the rank threshold actually applied, the residual, and the effective condition number. A rank-deficient system still gets an answer here, but it gets one that announces its own deficiency instead of a plausible vector with no warning attached.
POST https://stat.halowerk.com/v1/oss-openblas-dense-minimum-norm-solveEingaben
| Feld | Typ | Pflicht | Beschreibung |
|---|---|---|---|
| a | array | Ja | |
| b | array | Ja | |
| error_covariance | Siehe Schema | Ja | |
| rcond | number | Ja |
Vollständiges Eingabeschema anzeigen
{
"type": "object",
"properties": {
"a": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"minItems": 1,
"maxItems": 128
},
"b": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 32
},
"minItems": 1,
"maxItems": 128
},
"error_covariance": {
"anyOf": [
{
"type": "null"
},
{
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"minimum": -1000000,
"maximum": 1000000
},
"minItems": 1,
"maxItems": 128
},
"minItems": 1,
"maxItems": 128
}
]
},
"rcond": {
"type": "number",
"minimum": 1e-12,
"maximum": 0.01
}
},
"required": [
"a",
"b",
"error_covariance",
"rcond"
],
"additionalProperties": false
}Veröffentlichtes Eingabebeispiel
{
"a": [
[
1,
0
],
[
1,
1
],
[
1,
2
]
],
"b": [
[
1
],
[
2
],
[
2
]
],
"error_covariance": null,
"rcond": 1e-12
}Ergebnis & Dokumentation
Veröffentlichtes Ergebnisschema anzeigen
{
"$ref": "https://stat.halowerk.com/v1/oss-openblas-dense-minimum-norm-solve/schema#/outputSchema"
}Veröffentlichtes Ergebnisbeispiel öffnen
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Quelle dieser Seite: der veröffentlichte HALOWERK-Katalog. Stand: 2026-11-01, 15:19 UTC.
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