HomeCalculatorsMathNumerical CalculusSpline Interpolation Calculator
Math calculator

Spline Interpolation Calculator

Natural cubic spline through tabulated (x, y). Same engine as Numerical Interpolation. Not Akima, PCHIP, or regression. Runs locally.

Instant result
Result
—

Enter values to calculate.

Inputs—
Mode—
Formula—
Trust summary CVP VERIFIED · CVP protocol 1.0.0-proposed · Core assurance · all published methods
Input interpretation
Enter values to calculate.
Result
—
Verified scope
all published methods
Assurance
Core
Declared partition coverage
PASS · 9/9 declared partitions (ordinate-lagrange, linear, lagrange, spline, normalized-spline, node-identity, scaled-data, numerical-range, invalid-domain) · Matrix
Known limitations
  • Core CVP does not include live graph, viewport, or pointer interaction.
Model
y at x from tabulated points by a natural cubic spline, with an engine-linked figure of the nodes and S(x).
Scope
The Result Card includes an engine-linked figure of the tabulated nodes and S(x) (query marker is published y; n>16 reads points from inputs, not a REST field). Same natural cubic spline as REST/MCP. Not Akima / PCHIP / regression.
Verification
Engine tested · Specification checked · v1.1.4 · CVP VERIFIED · CVP protocol 1.0.0-proposed · Core assurance · all published methods· View Manifest · CVP overview · Specification
Versions
Calculation 1.1.4 · CVP protocol 1.0.0-proposed · Evidence 2026-10-07.lagrange-ordinate-range
Verification revision
2026-10-07.lagrange-ordinate-range · 1/1 property · digest 3fa94aacf696
Legacy regression
13/13 tests · Production surface contract 6/6
Trust layers
Verification VERIFIED · Production CURRENT · Overall CVP state: VERIFIED under CVP 1.0.0-proposed
Reference
O1 model · O2 expected_values · O2 numerical_behavior
Interfaces
PASS · UI (SSR) / REST / MCP — ui-ssr is query-result HTML, not a live browser session. Error-path engine·REST·MCP 2/2 (status, code, calculation_version). SSR compared on URL-canonical requested calculations; empty query is idle (not an error) and JSON-typed object/array inputs are REST/MCP-only.
Supplemental domain review
Not performed
Named expert review
Not performed
CVP suite
39/39 golden · 8/8 CVP boundary · 14/14 invalid · 1/1 property · 10/10 cross-interface · 1/1 cross-calculator · 6/6 CVP contract · Manifest
Specification basis
  • ISO 80000-2:2019 Quantities and units — Mathematics
Specification basis
Evidence
4 legacy golden · 2 legacy boundary · legacy regression suite · 39/39 oracle-backed golden · 14/14 invalid · Artifact integrity PASS
This calculator CURRENT · Public schema 1.1.4 matches · Semantic contract ✓ · Production attested · Public/cache ✓ · Origin ✓
Semantic contract
PASS
Full verification

Manifest identity, reference classes, interfaces, suite, and production records.

Formulas

Core equations used by this calculator.

Natural endsS″(x₀) = S″(xₙ) = 0
Piecewise cubicSᵢ(x) = aᵢ + bᵢ(x−xᵢ) + cᵢ(x−xᵢ)² + dᵢ(x−xᵢ)³
iPoints as x,y; x,y (semicolon-separated). Unique x, sorted internally. Table ≤ 100 points. x outside the table needs extrapolate=true. Not clamped and not not-a-knot.

How to use

1

Enter tabulated points

At least two pairs with unique x. Linear and Lagrange live on the canonical interpolation page.

2

Evaluate at x

The spline passes through every node. Outside [x_min, x_max] requires extrapolate. The figure shows the nodes, S(x), and the query.

Example calculations

Common configurations with formula and result.

ϟ

Two-point = linear

(0,0) and (10,20) at x=5

S reduces to lerp
10
ϟ

Three-point natural spline

(0,0), (1,1), (2,0) at x=0.5

M₁ = −3
0.6875

Spline Interpolation calculator specification

Version 1.1.4 · Engine tested

Calculation status

Review policy · Evidence

Definition
A natural cubic spline is a piecewise cubic with continuous S and S′ and S″=0 at the ends. This page is method=spline on math.numerical.interpolate. Two points reduce to linear. Not a second interpolator. Not Akima, PCHIP, or least-squares regression.
What it calculates
y at x from tabulated points by a natural cubic spline, with an engine-linked figure of the nodes and S(x).
Inputs
  • x
  • points?
  • x0?
  • y0?
  • x1?
  • y1?
  • extrapolate?
Outputs
  • y
  • n
  • in_range
  • extrapolated
Formula
natural cubic spline (S″=0 at ends)
Assumptions
  • The Result Card includes an engine-linked figure of the tabulated nodes and S(x) (query marker is published y; n>16 reads points from inputs, not a REST field). Same natural cubic spline as REST/MCP. Not Akima / PCHIP / regression.
  • Unique x; sorted internally
  • Natural ends, not clamped
  • Not Akima / PCHIP / regression
Units
  • dimensionless
Boundary conditions
  • Nonfinite table width or interpolated result → NUMERICAL_RANGE_ERROR
  • x outside table without extrapolate → VALUE_OUT_OF_RANGE
  • duplicate x → INVALID_INPUT
  • unknown method (including akima) → INVALID_MODE
Example
spline (0,0)(1,1)(2,0) x=0.5 → 0.6875
Validation cases

2 published on this page · 13/13 tests · Production surface contract 6/6 · View evidence

  • points=0,0;1,1;2,0 x=0.5 → y=0.6875
  • method=akima points=0,0;1,1 x=0.5 → INVALID_MODE
Specification basis
  • ISO 80000-2:2019 Quantities and units — Mathematics
Calculation version
1.1.4

Frequently asked questions

Key distinctions behind the calculation.

Is this a second interpolation engine?

No. It is method=spline on math.numerical.interpolate, the same engine as /calc/math/numerical-interpolation.

Is this Akima, PCHIP, or regression?

No. This seed is a natural cubic spline only. Clamped, not-a-knot, Akima, PCHIP, and least-squares fit stay out of scope.