diff --git a/examples/rosenbrock_analytic_diff.cc b/examples/rosenbrock_analytic_diff.cc
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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2023 Google Inc. All rights reserved.
+// http://ceres-solver.org/
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// * Redistributions of source code must retain the above copyright notice,
+//   this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright notice,
+//   this list of conditions and the following disclaimer in the documentation
+//   and/or other materials provided with the distribution.
+// * Neither the name of Google Inc. nor the names of its contributors may be
+//   used to endorse or promote products derived from this software without
+//   specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+// POSSIBILITY OF SUCH DAMAGE.
+//
+// Author: sameeragarwal@google.com (Sameer Agarwal)
+//
+// Example of minimizing the Rosenbrock function
+// (https://en.wikipedia.org/wiki/Rosenbrock_function) using
+// GradientProblemSolver using analytic derivatives.
+
+#include "ceres/ceres.h"
+#include "glog/logging.h"
+
+// f(x,y) = (1-x)^2 + 100(y - x^2)^2;
+class Rosenbrock final : public ceres::FirstOrderFunction {
+ public:
+  bool Evaluate(const double* parameters,
+                double* cost,
+                double* gradient) const override {
+    const double x = parameters[0];
+    const double y = parameters[1];
+
+    cost[0] = (1.0 - x) * (1.0 - x) + 100.0 * (y - x * x) * (y - x * x);
+
+    if (gradient) {
+      gradient[0] = -2.0 * (1.0 - x) - 200.0 * (y - x * x) * 2.0 * x;
+      gradient[1] = 200.0 * (y - x * x);
+    }
+
+    return true;
+  }
+
+  int NumParameters() const override { return 2; }
+};
+
+int main(int argc, char** argv) {
+  google::InitGoogleLogging(argv[0]);
+
+  double parameters[2] = {-1.2, 1.0};
+
+  ceres::GradientProblemSolver::Options options;
+  options.minimizer_progress_to_stdout = true;
+
+  ceres::GradientProblemSolver::Summary summary;
+  ceres::GradientProblem problem(new Rosenbrock());
+  ceres::Solve(options, problem, parameters, &summary);
+
+  std::cout << summary.FullReport() << "\n";
+  std::cout << "Initial x: " << -1.2 << " y: " << 1.0 << "\n";
+  std::cout << "Final   x: " << parameters[0] << " y: " << parameters[1]
+            << "\n";
+  return 0;
+}