Initial commit of Ceres Solver.
diff --git a/internal/ceres/block_sparse_matrix.h b/internal/ceres/block_sparse_matrix.h
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+// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2010, 2011, 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: sameeragarwal@google.com (Sameer Agarwal)
+//
+// Implementation of the SparseMatrix interface for block sparse
+// matrices.
+
+#ifndef CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_
+#define CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_
+
+#include "ceres/block_structure.h"
+#include "ceres/sparse_matrix.h"
+#include "ceres/internal/eigen.h"
+#include "ceres/internal/macros.h"
+#include "ceres/internal/scoped_ptr.h"
+
+namespace ceres {
+namespace internal {
+
+class SparseMatrixProto;
+class TripletSparseMatrix;
+
+// A further extension of the SparseMatrix interface to support block-oriented
+// matrices. The key addition is the RowBlockValues() accessor, which enables
+// the lazy block sparse matrix implementation.
+class BlockSparseMatrixBase : public SparseMatrix {
+ public:
+  BlockSparseMatrixBase() {}
+  virtual ~BlockSparseMatrixBase() {}
+
+  // Convert this matrix into a triplet sparse matrix.
+  virtual void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const = 0;
+
+  // Returns a pointer to the block structure. Does not transfer
+  // ownership.
+  virtual const CompressedRowBlockStructure* block_structure() const = 0;
+
+  // Returns a pointer to a row of the matrix. The returned array is only valid
+  // until the next call to RowBlockValues. The caller does not own the result.
+  //
+  // The returned array is laid out such that cells on the specified row are
+  // contiguous in the returned array, though neighbouring cells in row order
+  // may not be contiguous in the row values. The cell values for cell
+  // (row_block, cell_block) are found at offset
+  //
+  //   block_structure()->rows[row_block].cells[cell_block].position
+  //
+  virtual const double* RowBlockValues(int row_block_index) const = 0;
+
+ private:
+  DISALLOW_COPY_AND_ASSIGN(BlockSparseMatrixBase);
+};
+
+// This class implements the SparseMatrix interface for storing and
+// manipulating block sparse matrices. The block structure is stored
+// in the CompressedRowBlockStructure object and one is needed to
+// initialize the matrix. For details on how the blocks structure of
+// the matrix is stored please see the documentation
+//
+//   internal/ceres/block_structure.h
+//
+class BlockSparseMatrix : public BlockSparseMatrixBase {
+ public:
+  // Construct a block sparse matrix with a fully initialized
+  // CompressedRowBlockStructure objected. The matrix takes over
+  // ownership of this object and destroys it upon destruction.
+  //
+  // TODO(sameeragarwal): Add a function which will validate legal
+  // CompressedRowBlockStructure objects.
+  explicit BlockSparseMatrix(CompressedRowBlockStructure* block_structure);
+
+  // Construct a block sparse matrix from a protocol buffer.
+#ifndef CERES_DONT_HAVE_PROTOCOL_BUFFERS
+  explicit BlockSparseMatrix(const SparseMatrixProto& proto);
+#endif
+
+  BlockSparseMatrix();
+  virtual ~BlockSparseMatrix();
+
+  // Implementation of SparseMatrix interface.
+  virtual void SetZero();
+  virtual void RightMultiply(const double* x, double* y) const;
+  virtual void LeftMultiply(const double* x, double* y) const;
+  virtual void SquaredColumnNorm(double* x) const;
+  virtual void ScaleColumns(const double* scale);
+  virtual void ToDenseMatrix(Matrix* dense_matrix) const;
+#ifndef CERES_DONT_HAVE_PROTOCOL_BUFFERS
+  virtual void ToProto(SparseMatrixProto* proto) const;
+#endif
+  virtual int num_rows()         const { return num_rows_;     }
+  virtual int num_cols()         const { return num_cols_;     }
+  virtual int num_nonzeros()     const { return num_nonzeros_; }
+  virtual const double* values() const { return values_.get(); }
+  virtual double* mutable_values()     { return values_.get(); }
+
+  // Implementation of BlockSparseMatrixBase interface.
+  virtual void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const;
+  virtual const CompressedRowBlockStructure* block_structure() const;
+  virtual const double* RowBlockValues(int row_block_index) const {
+    return values_.get();
+  }
+
+ private:
+  int num_rows_;
+  int num_cols_;
+  int max_num_nonzeros_;
+  int num_nonzeros_;
+  scoped_array<double> values_;
+  scoped_ptr<CompressedRowBlockStructure> block_structure_;
+  DISALLOW_COPY_AND_ASSIGN(BlockSparseMatrix);
+};
+
+}  // namespace internal
+}  // namespace ceres
+
+#endif  // CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_