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diff --git a/third_party/skcms/src/GaussNewton.h b/third_party/skcms/src/GaussNewton.h
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-/*
- * Copyright 2018 Google Inc.
- *
- * Use of this source code is governed by a BSD-style license that can be
- * found in the LICENSE file.
- */
-
-#pragma once
-
-#include <stdbool.h>
-
-// One Gauss-Newton step, tuning up to 3 parameters P to minimize [ r(x,ctx) ]^2.
-//
-// rg: residual function r(x,P) to minimize, and gradient at x in dfdP
-// ctx: arbitrary context argument passed to rg
-// P: in-out, both your initial guess for parameters of r(), and our updated values
-// x0,dx,N: N x-values to test with even dx spacing, [x0, x0+dx, x0+2dx, ...]
-//
-// If you have fewer than 3 parameters, set the unused P to zero, don't touch their dfdP.
-//
-// Returns true and updates P on success, or returns false on failure.
-bool skcms_gauss_newton_step(float (*rg)(float x, const void*, const float P[3], float dfdP[3]),
- const void* ctx,
- float P[3],
- float x0, float dx, int N);