Abstract: Techniques are disclosed for linearizing interfaces within computing applications. In some embodiments, the techniques include defining a sequence of user interface elements, where at least a subset of user interface elements in the sequence of user interface elements correspond to controls for affecting a session state. Responsive to receiving an input value through a user interface element, a linearization process adds the input value to at least one dataset for evaluating a current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements. The process further evaluates the current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements based on values within the at least one data set. The process may disable and/or enable one or more user interface elements based on the evaluation.

Abstract: Techniques are disclosed for linearizing interfaces within computing applications. In some embodiments, the techniques include defining a sequence of user interface elements, where at least a subset of user interface elements in the sequence of user interface elements correspond to controls for affecting a session state. Responsive to receiving an input value through a user interface element, a linearization process adds the input value to at least one dataset for evaluating a current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements. The process further evaluates the current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements based on values within the at least one data set. The process may disable and/or enable one or more user interface elements based on the evaluation.

Abstract: Techniques are disclosed for linearizing interfaces within computing applications. In some embodiments, the techniques include defining a sequence of user interface elements, where at least a subset of user interface elements in the sequence of user interface elements correspond to controls for affecting a session state. Responsive to receiving an input value through a user interface element, a linearization process adds the input value to at least one dataset for evaluating a current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements. The process further evaluates the current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements based on values within the at least one data set. The process may disable and/or enable one or more user interface elements based on the evaluation.

Abstract: Techniques are disclosed for linearizing interfaces within computing applications. In some embodiments, the techniques include defining a sequence of user interface elements, where at least a subset of user interface elements in the sequence of user interface elements correspond to controls for affecting a session state. Responsive to receiving an input value through a user interface element, a linearization process adds the input value to at least one dataset for evaluating a current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements. The process further evaluates the current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements based on values within the at least one data set. The process may disable and/or enable one or more user interface elements based on the evaluation.

Abstract: A method, system, and computer-program product for in-memory policy analytics are disclosed. The method includes creating a policy model and determining an effect of a change to one of a value of one of one or more parameters. The policy model is configured to represent one or more policy scenarios by virtue of comprising one or more parameters, and each of the one or more scenarios is defined, at least in part, by each of the one or more parameters comprising a value or a plurality of values. Further, the effect is on at least one of the one or more scenarios.

Abstract: The invention relates to systems and methods using a logical data model for aggregating data entities in a functional information system supported upon a computing platform, and also for providing systems and methods for analyzing economic information using a functional coordinate system.

Abstract: The invention relates to systems and methods using a logical data model for aggregating data entities in a functional information system supported upon a computing platform, and also for providing systems and methods for analyzing economic information using a functional coordinate system.

Abstract: The invention relates to systems and methods using a logical data model for aggregating data entities in a functional information system supported upon a computing platform, and also for providing systems and methods for analyzing economic information using a functional coordinate system.

Abstract: A stratified or segmented composite portfolio can be formed by selecting a group of investment securities, stratifying or segmenting them according to attributes that correlate to a specific asset risk, and assigning relative portfolio weights to the components based on their stratified or segmented positions. The attributes are selected from a universe of possible values. Further positive and negative biases can be applied at any arbitrary point or position, including to individual assets, groups of arbitrarily selected assets, or arbitrary positions.

Abstract: The invention relates to systems and methods using a logical data model for aggregating data entities in a functional information system supported upon a computing platform, and also for providing systems and methods for analyzing economic information using a functional coordinate system.

Abstract: A stratified or segmented composite portfolio can be formed by selecting a group of investment securities, stratifying or segmenting them according to attributes that correlate to a specific asset risk, and assigning relative portfolio weights to the components based on their stratified or segmented positions. The attributes are selected from a universe of possible values. Further positive and negative biases can be applied at any arbitrary point or position, including to individual assets, groups of arbitrarily selected assets, or arbitrary positions.

Abstract: A method, system, and computer-program product for in-memory policy analytics are disclosed. The method includes creating a policy model and determining an effect of a change to one of a value of one of one or more parameters. The policy model is configured to represent one or more policy scenarios by virtue of comprising one or more parameters, and each of the one or more scenarios is defined, at least in part, by each of the one or more parameters comprising a value or a plurality of values. Further, the effect is on at least one of the one or more scenarios.