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| expval_matrix (size_t rows, size_t cols, size_t n_blocks=1, size_t n_per_block=1) |
| Create for a vector of size n with n_blocks blocks and n_per_block points block.
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| expval_matrix (const expval_matrix &ev) |
| Copy constructor.
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expval_matrix & | operator= (const expval_matrix &ev) |
| Copy constructor.
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virtual void | set_blocks (size_t rows, size_t cols, size_t n_blocks, size_t n_per_block) |
| Set for a matrix with n_blocks blocks and n_per_block points block.
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virtual void | free () |
| Free allocated data (but do not change the current values of n_blocks or n_per_block )
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template<class mat_t > |
void | add (mat_t &val) |
| Add measurement of value val .
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const tensor3 & | get_data () const |
| Return the current data for all blocks.
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template<class mat_t , class mat2_t , class mat3_t > |
void | current_avg_stats (mat_t &avg, mat2_t &std_dev, mat3_t &avg_err, size_t &m_block, size_t &m_per_block) |
| Report current average, standard deviation, and the error in the average and include block information. More...
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template<class mat_t , class mat2_t , class mat3_t > |
void | current_avg (mat_t &avg, mat2_t &std_dev, mat3_t &avg_err) |
| Report current average, standard deviation, and the error in the average. More...
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template<class mat_t , class mat2_t , class mat3_t > |
void | reblock_avg_stats (size_t new_blocks, mat_t &avg, mat2_t &std_dev, mat3_t &avg_err, size_t &m_per_block) const |
| Report average, standard deviation, and the error in the average assuming a new block size.
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template<class mat_t , class mat2_t , class mat3_t > |
void | reblock_avg (size_t new_blocks, mat_t &avg, mat2_t &std_dev, mat3_t &avg_err) const |
| Report average, standard deviation, and the error in the average assuming a new block size.
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| expval_base (size_t n_blocks=1, size_t n_per_block=1) |
| Create with n_blocks blocks and n_per_block points per block. More...
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| expval_base (const expval_base &ev) |
| Copy constructor.
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expval_base & | operator= (const expval_base &ev) |
| Copy constructor with operator=()
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virtual void | set_blocks (size_t n_blocks, size_t n_per_block) |
| Reset for n_blocks blocks and n_per_block points per block. More...
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virtual void | get_blocks (size_t &n_blocks, size_t &n_per_block) const |
| Get the number of blocks and the number of points per block.
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virtual void | get_block_indices (size_t &i_block, size_t &i_curr_block) const |
| Get the block index and the index within the current block.
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virtual bool | finished () const |
| Returns true if all blocks have been stored. More...
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virtual double | progress () const |
| Report progress as a fraction between zero to one (inclusive) More...
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void | is_valid () const |
| Internal consistency check.
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See expval_base for some general notes on this and related classes.
This is a similar to expval_scalar, except that it allows updating and statistics for a set of matrices en masse. The data is stored internally in ublas matrix and tensor3 objects, but the public member functions operate with template types which are compatible with any vector class which provides double &operator[]
. It is assumed that each call to add() contains a new measurement for all of the matrix entries.
Definition at line 579 of file expval.h.