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Merge pull request #3696 from kevaundray/kw/optimize-compute-kzg-proo…
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jtraglia authored Apr 19, 2024
2 parents 9c04cf1 + 33dfa88 commit 9279848
Showing 1 changed file with 4 additions and 5 deletions.
9 changes: 4 additions & 5 deletions specs/_features/eip7594/polynomial-commitments-sampling.md
Original file line number Diff line number Diff line change
Expand Up @@ -315,20 +315,19 @@ def compute_kzg_proof_multi_impl(
Where:
- r(X) is the degree `k-1` polynomial that agrees with f(x) at all `k` points
- Z(X) is the degree `k` polynomial that evaluates to zero on all `k` points
We further note that since the degree of r(X) is less than the degree of Z(X),
the computation can be simplified in monomial form to Q(X) = f(X) / Z(X)
"""

# For all points, compute the evaluation of those points
ys = [evaluate_polynomialcoeff(polynomial_coeff, z) for z in zs]
# Compute r(X)
interpolation_polynomial = interpolate_polynomialcoeff(zs, ys)
# Compute f(X) - r(X)
polynomial_shifted = add_polynomialcoeff(polynomial_coeff, neg_polynomialcoeff(interpolation_polynomial))

# Compute Z(X)
denominator_poly = vanishing_polynomialcoeff(zs)

# Compute the quotient polynomial directly in monomial form
quotient_polynomial = divide_polynomialcoeff(polynomial_shifted, denominator_poly)
quotient_polynomial = divide_polynomialcoeff(polynomial_coeff, denominator_poly)

return KZGProof(g1_lincomb(KZG_SETUP_G1_MONOMIAL[:len(quotient_polynomial)], quotient_polynomial)), ys
```
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