Abstract: A system for testing visual fields comprising a display for presenting a visual stimulus and an eye tracker for tracking movement of at least one of a patient's eyes to determine its position in three dimensions without requiring the patient to wear any tracking equipment. A computer controls the position of the stimulus on the display and causes it to move by an amount that is a function of the tracked three-dimensional position of the patient's eye and a visual field position that is to be tested. Changes to the position of the stimulus and any corresponding tracked eye movement are used to assess the patient's visual field.

Abstract: This invention addresses the need for dealing with complex planning calculations based on data warehouse or Planning Data Repository (PDR) data where some aggregated data or forecast data might be changed without directly manipulating the underlying data, and where there may be several relationships linking the data. The system is able to deal with complex relationships along more than one axis or dimension. A number of iterations are typically used involving both back-solving and ‘forward-solving’. The subset of cells that needs to be recalculated is identified before steps of back-solving and/or forward-solving using parent/child tables. The scanning of these tables looking for potential dependencies is much simpler and faster than to looking at the actual formulae or functions relating the cells.

Abstract: A system for testing visual fields comprising a display for presenting a visual stimulus and an eye tracker for tracking movement of at least one of a patient's eyes to determine its position in three dimensions without requiring the patient to wear any tracking equipment. A computer controls the position of the stimulus on the display and causes it to move by an amount that is a function of the tracked three-dimensional position of the patient's eye and a visual field position that is to be tested. Changes to the position of the stimulus and any corresponding tracked eye movement are used to assess the patient's visual field.

Abstract: This invention addresses the need for dealing with complex planning calculations based on data warehouse or Planning Data Repository (PDR) data where some aggregated data or forecast data might be changed without directly manipulating the underlying data, and where there may be several relationships linking the data. The system is able to deal with complex relationships along more than one axis or dimension. A number of iterations are typically used involving both back-solving and ‘forward-solving’. The subset of cells that needs to be recalculated is identified before steps of back-solving and/or forward-solving using parent/child tables. The scanning of these tables looking for potential dependencies is much simpler and faster than to looking at the actual formulae or functions relating the cells.

Abstract: This invention addresses the need for dealing with complex planning calculations based on data warehouse or Planning Data Repository (PDR) data where some aggregated data or forecast data might be changed without directly manipulating the underlying data, and where there may be several relationships linking the data. The system is able to deal with complex relationships along more than one axis or dimension. A number of iterations are typically used involving both back-solving and ‘forward-solving’. The subset of cells that needs to be recalculated is identified before steps of back-solving and/or forward-solving using parent/child tables. The scanning of these tables looking for potential dependencies is much simpler and faster than to looking at the actual formulae or functions relating the cells.

Abstract: This invention addresses the need for dealing with complex planning calculations based on data warehouse or Planning Data Repository (PDR) data where some aggregated data or forecast data might be changed without directly manipulating the underlying data, and where there may be several relationships linking the data. The system is able to deal with complex relationships along more than one axis or dimension. A number of iterations are typically used involving both back-solving and ‘forward-solving’. The subset of cells that needs to be recalculated is identified before steps of back-solving and/or forward-solving using parent/child tables. The scanning of these tables looking for potential dependencies is much simpler and faster than to looking at the actual formulae or functions relating the cells.