Golden Section Search Calculator
Golden-section search for a minimum of a polynomial, sin, or exp on [a, b]. Same engine as One-Dimensional Optimization. Not Brent, not multivariate. Runs locally.
Trust summary Engine tested · Specification checked · 11/11 tests · Production surface contract 2/2 · v1.0.0
- Input interpretation
- Enter values to calculate.
- Result
- —
- Model
- xmin and fmin of poly, sin, or exp on [a, b] by golden-section search.
- Scope
- Minimize only
- Verification
- Engine tested · 11/11 tests · Production surface contract 2/2 · Specification checked · v1.0.0
- Named expert review
- Optional · Not performed
- Specification basis
- ISO 80000-2:2019 Quantities and units — Mathematics
- Evidence
- 3 golden · 2 boundary · 6 property · Production surface contract 2/2 · Artifact integrity PASS
- Production
- Embedded snapshot: unpublished · Build schema 1.0.0 ready · Semantic contract ✓ · Attestation report not published on origin · Live production status STALE (1 capability; 163 remain CURRENT) @ 2026-09-19T00:00:17.039Z
- Semantic contract
- PASS
Formulas
Core equations used by this calculator.
How to use
Enter integrand and [a, b]
Poly needs coeffs. a must be strictly less than b.
Read xmin and fmin
An exact minimizer is shown when f is poly of degree ≤ 3, sin, or exp.
Example calculations
Common configurations with formula and result.
min x² on [−1, 2]
coeffs 0,0,1
min eˣ on [0, 1]
monotonic, left endpoint
Golden Section Search calculator specification
Version 1.0.0 · Engine tested
- Engine tested 11/11 tests · Production surface contract 2/2
- Named expert review Not performed
- Calculation version 1.0.0
- Definition
- Golden-section search shrinks [a, b] with ratio φ̂=(√5−1)/2 until the remaining interval is within tol. This page is method=golden on math.numerical.optimize_1d. Not a second optimizer. Not Brent.
- What it calculates
- xmin and fmin of poly, sin, or exp on [a, b] by golden-section search.
- Inputs
- integrand
- a
- b
- tol?
- coeffs?
- Outputs
- xmin
- fmin
- exact_xmin
- exact_fmin
- n_eval
- Formula
golden-section search, φ̂=(√5−1)/2- Assumptions
- Minimize only
- Not Brent / Nelder–Mead / CAS
- Units
- dimensionless
- Boundary conditions
- a ≥ b → INVALID_INPUT
- unknown method (including nelder) → INVALID_MODE
- Example
- golden poly 0,0,1 on [-1,2] → xmin=0
- Validation cases
2 published on this page · 11/11 tests · Production surface contract 2/2 · View evidence
- integrand=poly coeffs=0,0,1 a=-1 b=2 → exact_xmin=0
- method=nelder integrand=sin a=0 b=1 → INVALID_MODE
- Specification basis
- ISO 80000-2:2019 Quantities and units — Mathematics
- Calculation version
- 1.0.0
Related tools
Other calculators in this family: Brent Method Calculator, Definite Integral Calculator, Gauss Quadrature Calculator, Numerical Derivative Calculator, Numerical Interpolation Calculator, Numerical Root Calculator, One-Dimensional Optimization Calculator, Simpson Rule Calculator . Explore all Numerical Calculus.
Frequently asked questions
Key distinctions behind the calculation.
Is this a second optimization engine?
No. It is method=golden on math.numerical.optimize_1d, the same engine as /calc/math/one-dimensional-optimization.
Is this Brent or Nelder–Mead?
No. Brent is the sibling discovery URL. Nelder–Mead, gradients, and maximization stay INVALID_MODE.