diff --git a/internal/ceres/dense_cholesky_test.cc b/internal/ceres/dense_cholesky_test.cc
new file mode 100644
index 0000000..1b0ee65
--- /dev/null
+++ b/internal/ceres/dense_cholesky_test.cc
@@ -0,0 +1,107 @@
+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2022 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)
+
+#include "ceres/dense_cholesky.h"
+
+#include <memory>
+#include <numeric>
+#include <vector>
+
+#include "Eigen/Dense"
+#include "ceres/internal/eigen.h"
+#include "ceres/linear_solver.h"
+#include "glog/logging.h"
+#include "gmock/gmock.h"
+#include "gtest/gtest.h"
+
+namespace ceres {
+namespace internal {
+
+typedef DenseLinearAlgebraLibraryType Param;
+
+std::string ParamInfoToString(testing::TestParamInfo<Param> info) {
+  return DenseLinearAlgebraLibraryTypeToString(info.param);
+}
+
+class DenseCholeskyTest : public ::testing::TestWithParam<Param> {};
+
+TEST_P(DenseCholeskyTest, FactorAndSolve) {
+  // TODO(sameeragarwal): Convert these tests into type parameterized tests so
+  // that we can test the single and double precision solvers.
+
+  using Scalar = double;
+  using MatrixType = Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>;
+  using VectorType = Eigen::Matrix<Scalar, Eigen::Dynamic, 1>;
+
+  LinearSolver::Options options;
+  options.dense_linear_algebra_library_type = GetParam();
+  std::unique_ptr<DenseCholesky> dense_cholesky =
+      DenseCholesky::Create(options);
+
+  const int kNumTrials = 10;
+  const int kMinNumCols = 1;
+  const int kMaxNumCols = 10;
+
+  for (int num_cols = kMinNumCols; num_cols < kMaxNumCols; ++num_cols) {
+    for (int trial = 0; trial < kNumTrials; ++trial) {
+      const MatrixType a = MatrixType::Random(num_cols, num_cols);
+      MatrixType lhs = a.transpose() * a;
+      lhs += VectorType::Ones(num_cols).asDiagonal();
+      Vector x = VectorType::Random(num_cols);
+      Vector rhs = lhs * x;
+      Vector actual = Vector::Random(num_cols);
+
+      LinearSolver::Summary summary;
+      summary.termination_type = dense_cholesky->FactorAndSolve(
+          num_cols, lhs.data(), rhs.data(), actual.data(), &summary.message);
+      EXPECT_EQ(summary.termination_type, LINEAR_SOLVER_SUCCESS);
+      EXPECT_NEAR((x - actual).norm() / x.norm(),
+                  0.0,
+                  std::numeric_limits<double>::epsilon() * 10)
+          << "\nexpected: " << x.transpose()
+          << "\nactual  : " << actual.transpose();
+    }
+  }
+}
+
+#ifndef CERES_NO_LAPACK
+INSTANTIATE_TEST_SUITE_P(_,
+                         DenseCholeskyTest,
+                         ::testing::Values(EIGEN, LAPACK),
+                         ParamInfoToString);
+#else
+INSTANTIATE_TEST_SUITE_P(_,
+                         DenseCholeskyTest,
+                         ::testing::Values(EIGEN),
+                         ParamInfoToString);
+#endif
+
+}  // namespace internal
+}  // namespace ceres