Software systems and methods for multiple talp family enhancement and management
AssigneeC Squared IP Holdings LLC
InventorsScott Andrew SMITH, Christopher Graham SMITH, Kevin David HOWARD
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Abstract
Software systems and methods convert algorithms and software codes into time affecting linear pathways (TALPs) via decomposition and convert paired Input/Output (I/O) datasets into TALPs via Value Complexity polynomials. Generated TALPs can be enhanced through merging with other TALPs. TALPs can be grouped by matching the outputs of the TALP-associated prediction polynomials with some set of given criteria into families and cross-families that are useful in a new type of software optimization that allows for output values of grouped TALPs to be modeled, pooled, discretized and optimized to enhance goals or meet user goals.
Claims20
A method of software enhancement and management, comprising:
- inputting one or more data transformation algorithms representing asset data;
- decomposing the one or more data transformation algorithms into a plurality of time-affecting linear pathways (TALPs);
- executing the plurality of TALPs to generate at least one or more value complexity prediction polynomials;
- modeling one or more outcomes, based at least on acceptance criteria and using at least the one or more value complexity prediction polynomials for one or more selected TALPs of the plurality of TALPs, wherein the acceptance criteria includes at least one or more input values and one or more output values;
- and
- outputting optimized TALP-derived investment data from the modeled one or more outcomes.
A software enhancement and management system, comprising:
- a memory;
- and
- a processor operatively coupled to the memory, wherein the processor is configured to execute a program code to:
- input one or more data transformation algorithms representing asset data;
- decompose the one or more data transformation algorithms into a plurality of time-affecting linear pathways (TALPs);
- execute the plurality of TALPs to generate at least one or more value complexity prediction polynomials;
- model one or more outcomes, based at least on acceptance criteria and using at least the one or more value complexity prediction polynomials for one or more selected TALPs of the plurality of TALPs, wherein the acceptance criteria includes at least one or more input values and one or more output values;
- and
- output optimized TALP-derived investment data from the modeled one or more outcomes.
Dependencies are inferred from the claim text.