Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: A stratified or segmented composite data structure can be formed by selecting a group of data entities, stratifying or segmenting them according to attributes, and assigning relative 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 data entities, groups of arbitrarily selected data entities, or arbitrary positions.

Abstract: The invention includes methods for algorithmically modifying a representation of a functional system based on functional trajectory signals by electronically representing a systems syntax, wherein the systems syntax comprises a logical data model, electronically constructing a representation of the functional system comprising a graph, based on an input signal algorithmically computing a functional trajectory that assesses magnitude, distance, or paths among at least two nodes, and updating the functional trajectory representing a set of paths through functional locations over time.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: A stratified or segmented composite data structure can be formed by selecting a group of data entities, stratifying or segmenting them according to attributes, and assigning relative 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 data entities, groups of arbitrarily selected data entities, or arbitrary positions.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: A stratified or segmented composite data structure can be formed by selecting a group of data entities, stratifying or segmenting them according to attributes, and assigning relative 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 data entities, groups of arbitrarily selected data entities, or arbitrary positions.

Abstract: Computerized techniques can be used for algorithmically determining the composition of elements in a functional system represented in n-dimensional space using a logical data model.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Abstract: Computerized techniques can be used for algorithmically determining the composition of elements in a functional system represented in n-dimensional space using a logical data model.

Abstract: The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

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 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: 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: An exemplary method includes receiving source code having a plurality of code segments, providing a desired level of quality for the source code, analyzing the source code to assign a complexity measure to each of the plurality of code segments and assigning a level of code coverage to each of the plurality of code segments based at least in part on the desired level of quality and the complexity measures. An exemplary system prioritizes quality improvements to source code based, in part, on a quality assessment. Such a system can improve code quality by assigning higher test coverage levels to modules with higher complexity.