void CopyTo(DenseColumnMajorMatrixStorage <T> target, bool skipClearing)
        {
            if (RowCount != target.RowCount || ColumnCount != target.ColumnCount)
            {
                var message = string.Format(Resources.ArgumentMatrixDimensions2, RowCount + "x" + ColumnCount, target.RowCount + "x" + target.ColumnCount);
                throw new ArgumentException(message, "target");
            }

            if (!skipClearing)
            {
                target.Clear();
            }

            if (ValueCount != 0)
            {
                for (int row = 0; row < RowCount; row++)
                {
                    var startIndex = RowPointers[row];
                    var endIndex   = row < RowPointers.Length - 1 ? RowPointers[row + 1] : ValueCount;
                    for (var j = startIndex; j < endIndex; j++)
                    {
                        target.At(row, ColumnIndices[j], Values[j]);
                    }
                }
            }
        }
        void CopySubMatrixTo(DenseColumnMajorMatrixStorage <T> target,
                             int sourceRowIndex, int targetRowIndex, int rowCount,
                             int sourceColumnIndex, int targetColumnIndex, int columnCount,
                             bool skipClearing)
        {
            if (target == null)
            {
                throw new ArgumentNullException("target");
            }

            ValidateSubMatrixRange(target,
                                   sourceRowIndex, targetRowIndex, rowCount,
                                   sourceColumnIndex, targetColumnIndex, columnCount);

            if (!skipClearing)
            {
                target.Clear(targetRowIndex, rowCount, targetColumnIndex, columnCount);
            }

            if (sourceRowIndex > sourceColumnIndex && sourceColumnIndex + columnCount > sourceRowIndex)
            {
                // column by column, but skip resulting zero columns at the beginning

                int columnInit = sourceRowIndex - sourceColumnIndex;
                int offset     = (columnInit + targetColumnIndex) * target.RowCount + targetRowIndex;
                int step       = target.RowCount + 1;
                int end        = Math.Min(columnCount - columnInit, rowCount) + sourceRowIndex;

                for (int i = sourceRowIndex, j = offset; i < end; i++, j += step)
                {
                    target.Data[j] = Data[i];
                }
            }
            else if (sourceRowIndex < sourceColumnIndex && sourceRowIndex + rowCount > sourceColumnIndex)
            {
                // row by row, but skip resulting zero rows at the beginning

                int rowInit = sourceColumnIndex - sourceRowIndex;
                int offset  = targetColumnIndex * target.RowCount + rowInit + targetRowIndex;
                int step    = target.RowCount + 1;
                int end     = Math.Min(columnCount, rowCount - rowInit) + sourceColumnIndex;

                for (int i = sourceColumnIndex, j = offset; i < end; i++, j += step)
                {
                    target.Data[j] = Data[i];
                }
            }
            else
            {
                int offset = targetColumnIndex * target.RowCount + targetRowIndex;
                int step   = target.RowCount + 1;
                var end    = Math.Min(columnCount, rowCount) + sourceRowIndex;

                for (int i = sourceRowIndex, j = offset; i < end; i++, j += step)
                {
                    target.Data[j] = Data[i];
                }
            }
        }
Ejemplo n.º 3
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        void CopyToUnchecked(DenseColumnMajorMatrixStorage <T> target, ExistingData existingData)
        {
            if (existingData == ExistingData.Clear)
            {
                target.Clear();
            }

            for (int i = 0; i < Data.Length; i++)
            {
                target.Data[i * (target.RowCount + 1)] = Data[i];
            }
        }
Ejemplo n.º 4
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        void CopyToUnchecked(DenseColumnMajorMatrixStorage <T> target, bool skipClearing)
        {
            if (!skipClearing)
            {
                target.Clear();
            }

            for (int i = 0; i < Data.Length; i++)
            {
                target.Data[i * (target.RowCount + 1)] = Data[i];
            }
        }
        void CopySubMatrixToUnchecked(DenseColumnMajorMatrixStorage <T> target,
                                      int sourceRowIndex, int targetRowIndex, int rowCount,
                                      int sourceColumnIndex, int targetColumnIndex, int columnCount,
                                      ExistingData existingData)
        {
            if (existingData == ExistingData.Clear)
            {
                target.Clear(targetRowIndex, rowCount, targetColumnIndex, columnCount);
            }

            if (sourceRowIndex > sourceColumnIndex && sourceColumnIndex + columnCount > sourceRowIndex)
            {
                // column by column, but skip resulting zero columns at the beginning

                int columnInit = sourceRowIndex - sourceColumnIndex;
                int offset     = (columnInit + targetColumnIndex) * target.RowCount + targetRowIndex;
                int step       = target.RowCount + 1;
                int end        = Math.Min(columnCount - columnInit, rowCount) + sourceRowIndex;

                for (int i = sourceRowIndex, j = offset; i < end; i++, j += step)
                {
                    target.Data[j] = Data[i];
                }
            }
            else if (sourceRowIndex < sourceColumnIndex && sourceRowIndex + rowCount > sourceColumnIndex)
            {
                // row by row, but skip resulting zero rows at the beginning

                int rowInit = sourceColumnIndex - sourceRowIndex;
                int offset  = targetColumnIndex * target.RowCount + rowInit + targetRowIndex;
                int step    = target.RowCount + 1;
                int end     = Math.Min(columnCount, rowCount - rowInit) + sourceColumnIndex;

                for (int i = sourceColumnIndex, j = offset; i < end; i++, j += step)
                {
                    target.Data[j] = Data[i];
                }
            }
            else
            {
                int offset = targetColumnIndex * target.RowCount + targetRowIndex;
                int step   = target.RowCount + 1;
                var end    = Math.Min(columnCount, rowCount) + sourceRowIndex;

                for (int i = sourceRowIndex, j = offset; i < end; i++, j += step)
                {
                    target.Data[j] = Data[i];
                }
            }
        }
        void CopyToUnchecked(DenseColumnMajorMatrixStorage <T> target, bool skipClearing)
        {
            if (!skipClearing)
            {
                target.Clear();
            }

            if (ValueCount != 0)
            {
                for (int row = 0; row < RowCount; row++)
                {
                    var startIndex = RowPointers[row];
                    var endIndex   = RowPointers[row + 1];
                    for (var j = startIndex; j < endIndex; j++)
                    {
                        target.At(row, ColumnIndices[j], Values[j]);
                    }
                }
            }
        }
        void CopyTo(DenseColumnMajorMatrixStorage <T> target, bool skipClearing)
        {
            if (target == null)
            {
                throw new ArgumentNullException("target");
            }

            if (RowCount != target.RowCount || ColumnCount != target.ColumnCount)
            {
                var message = string.Format(Resources.ArgumentMatrixDimensions2, RowCount + "x" + ColumnCount, target.RowCount + "x" + target.ColumnCount);
                throw new ArgumentException(message, "target");
            }

            if (!skipClearing)
            {
                target.Clear();
            }

            for (int i = 0; i < Data.Length; i++)
            {
                target.Data[i * (target.RowCount + 1)] = Data[i];
            }
        }
        void MapSubMatrixIndexedToUnchecked <TU>(DenseColumnMajorMatrixStorage <TU> target, Func <int, int, T, TU> f,
                                                 int sourceRowIndex, int targetRowIndex, int rowCount,
                                                 int sourceColumnIndex, int targetColumnIndex, int columnCount,
                                                 Zeros zeros, ExistingData existingData)
            where TU : struct, IEquatable <TU>, IFormattable
        {
            var processZeros = zeros == Zeros.Include || !Zero.Equals(f(0, 1, Zero));

            if (existingData == ExistingData.Clear && !processZeros)
            {
                target.Clear(targetRowIndex, rowCount, targetColumnIndex, columnCount);
            }

            if (processZeros)
            {
                CommonParallel.For(0, columnCount, Math.Max(4096 / rowCount, 32), (a, b) =>
                {
                    int sourceColumn = sourceColumnIndex + a;
                    int targetColumn = targetColumnIndex + a;
                    for (int j = a; j < b; j++)
                    {
                        int targetIndex = targetRowIndex + (j + targetColumnIndex) * target.RowCount;
                        int sourceRow   = sourceRowIndex;
                        int targetRow   = targetRowIndex;
                        for (int i = 0; i < rowCount; i++)
                        {
                            target.Data[targetIndex++] = f(targetRow++, targetColumn, sourceRow++ == sourceColumn ? Data[sourceColumn] : Zero);
                        }
                        sourceColumn++;
                        targetColumn++;
                    }
                });
            }
            else
            {
                if (sourceRowIndex > sourceColumnIndex && sourceColumnIndex + columnCount > sourceRowIndex)
                {
                    // column by column, but skip resulting zero columns at the beginning

                    int columnInit = sourceRowIndex - sourceColumnIndex;
                    int offset     = (columnInit + targetColumnIndex) * target.RowCount + targetRowIndex;
                    int step       = target.RowCount + 1;
                    int count      = Math.Min(columnCount - columnInit, rowCount);

                    for (int k = 0, j = offset; k < count; j += step, k++)
                    {
                        target.Data[j] = f(targetRowIndex + k, targetColumnIndex + columnInit + k, Data[sourceRowIndex + k]);
                    }
                }
                else if (sourceRowIndex < sourceColumnIndex && sourceRowIndex + rowCount > sourceColumnIndex)
                {
                    // row by row, but skip resulting zero rows at the beginning

                    int rowInit = sourceColumnIndex - sourceRowIndex;
                    int offset  = targetColumnIndex * target.RowCount + rowInit + targetRowIndex;
                    int step    = target.RowCount + 1;
                    int count   = Math.Min(columnCount, rowCount - rowInit);

                    for (int k = 0, j = offset; k < count; j += step, k++)
                    {
                        target.Data[j] = f(targetRowIndex + rowInit + k, targetColumnIndex + k, Data[sourceColumnIndex + k]);
                    }
                }
                else
                {
                    int offset = targetColumnIndex * target.RowCount + targetRowIndex;
                    int step   = target.RowCount + 1;
                    var count  = Math.Min(columnCount, rowCount);

                    for (int k = 0, j = offset; k < count; j += step, k++)
                    {
                        target.Data[j] = f(targetRowIndex + k, targetColumnIndex + k, Data[sourceRowIndex + k]);
                    }
                }
            }
        }