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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2012 Google Inc. All rights reserved.
+// http://code.google.com/p/ceres-solver/
+//
+// 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: strandmark@google.com (Petter Strandmark)
+
+#ifndef CERES_INTERNAL_CXSPARSE_H_
+#define CERES_INTERNAL_CXSPARSE_H_
+
+#ifndef CERES_NO_CXSPARSE
+
+#include "cs.h"
+
+namespace ceres {
+namespace internal {
+
+class CompressedRowSparseMatrix;
+class TripletSparseMatrix;
+
+// This object provides access to solving linear systems using Cholesky
+// factorization with a known symbolic factorization. This features does not
+// explicity exist in CXSparse. The methods in the class are nonstatic because
+// the class manages internal scratch space.
+class CXSparse {
+ public:
+  CXSparse();
+  ~CXSparse();
+
+  // Solves a symmetric linear system A * x = b using Cholesky factorization.
+  //  A                      - The system matrix.
+  //  symbolic_factorization - The symbolic factorization of A. This is obtained
+  //                           from AnalyzeCholesky.
+  //  b                      - The right hand size of the linear equation. This
+  //                           array will also recieve the solution.
+  // Returns false if Cholesky factorization of A fails.
+  bool SolveCholesky(cs_di* A, cs_dis* symbolic_factorization, double* b);
+
+  // Creates a sparse matrix from a compressed-column form. No memory is
+  // allocated or copied; the structure A is filled out with info from the
+  // argument.
+  cs_di CreateSparseMatrixTransposeView(CompressedRowSparseMatrix* A);
+
+  // Creates a new matrix from a triplet form. Deallocate the returned matrix
+  // with Free. May return NULL if the compression or allocation fails.
+  cs_di* CreateSparseMatrix(TripletSparseMatrix* A);
+
+  // Computes a symbolic factorization of A that can be used in SolveCholesky.
+  // The returned matrix should be deallocated with Free when not used anymore.
+  cs_dis* AnalyzeCholesky(cs_di* A);
+
+  // Deallocates the memory of a matrix obtained from AnalyzeCholesky.
+  void Free(cs_di* factor);
+  void Free(cs_dis* factor);
+
+ private:
+  // Cached scratch space
+  CS_ENTRY* scratch_;
+  int scratch_size_;
+};
+
+}  // namespace internal
+}  // namespace ceres
+
+#endif  // CERES_NO_CXSPARSE
+
+#endif  // CERES_INTERNAL_CXSPARSE_H_