Roll skia/third_party/skcms 3e527c6..5bfec77 (1 commits)

https://skia.googlesource.com/skcms.git/+log/3e527c6..5bfec77

2018-05-17 mtklein@chromium.org rm GaussNewton.[ch]


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Documentation for the AutoRoller is here:
https://skia.googlesource.com/buildbot/+/master/autoroll/README.md

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CQ_INCLUDE_TRYBOTS=master.tryserver.blink:linux_trusty_blink_rel
TBR=herb@google.com

Change-Id: Idf7e24d60750f69db9d09a71e9665073380b8912
Reviewed-on: https://skia-review.googlesource.com/128987
Reviewed-by: skcms-skia-autoroll <skcms-skia-autoroll@skia-buildbots.google.com.iam.gserviceaccount.com>
Commit-Queue: skcms-skia-autoroll <skcms-skia-autoroll@skia-buildbots.google.com.iam.gserviceaccount.com>

1 files changed, 0 insertions, 25 deletions

diff --git a/third_party/skcms/src/GaussNewton.h b/third_party/skcms/src/GaussNewton.h
deleted file mode 100644
index 5de9927ed3..0000000000
--- a/third_party/skcms/src/GaussNewton.h
+++ /dev/null
@@ -1,25 +0,0 @@
-/*
- * 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);