Software systems and methods for multiple TALP family enhancement and management
Systems and methods of software enhancement and management can comprise 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, executing a TALP execution engine using predictive analytics and external unoptimized context data to create temporally sequenced TALP output data from the plurality of TALPs, modeling predictive outcomes using at least TALP optimization criteria data and the temporally sequenced TALP output data and merging additional external unoptimized context data via a feedback loop over time, and outputting optimized and discretized temporally sequenced output data based on the modeled predictive outcomes.
1 . A method of software enhancement and management, comprising:
inputting one or more data transformation algorithms representing criteria input 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;
simulating return range data of the one or more value complexity prediction polynomials;
modeling predictive outcomes using at least the simulated return range data of the one or more value complexity prediction polynomials and TALP criteria data, and merging unoptimized external context data via a feedback loop over time; and
outputting optimized and discretized return range output data based on the modeled predictive outcomes.
2 . The method of claim 1 , wherein the unoptimized external context data comprises at least one of TALP family context data and resource limit data.
3 . The method of claim 1 , wherein the unoptimized external context data comprises one or more of capital market data, business data, and asset portfolio data.
4 . The method of claim 3 , wherein the capital market data comprises one or more of credit enhancement criteria or goal data, bond criteria or goal data, rating agency criteria or goal data, General Partner (GP) criteria or goal data, and Limited Partner (LP) criteria or goal data.
5 . The method of claim 1 , wherein the criteria input data includes one or more of resource availability data, TALP discretization criteria data, TALP optimization criteria data, and TALP selection criteria data.
6 . The method of claim 1 , wherein the criteria input data includes one or more of credit enhancement criteria or goal data, bond criteria or goal data, rating agency criteria or goal data, GP criteria or goal data, and LP criteria or goal data.
7 . The method of claim 1 , wherein the optimized and discretized return range output data comprises one or more of control discretization data, user discretization data, and resource availability data.
8 . The method of claim 1 , wherein the optimized and discretized return range output data comprises one or more of credit enhancement data and credit enhanced temporally sequenced data.
9 . The method of claim 7 , wherein the credit enhancement data or the credit enhanced temporally sequenced data is operatively outputted to one or more of a credit enhancer, a manager, a creditor, a bond investor, a GP, and an LP.
10 . The method of claim 1 , further comprising a TALP execution engine that processes one or more of TALP output data, TALP optimization data, TALP processing time data, and overhead data.
11 . The method of claim 1 , further comprising a TALP execution engine that processes one or more of economic data, credit enhancement data, bond data, rating agency data, GP criteria or goal data, and LP criteria or goal data.
12 . A software enhancement and management system, comprising:
a memory; and
a processor operatively coupled with the memory, wherein the processor is configured to execute a program code to:
input one or more data transformation algorithms representing criteria input 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;
simulate return range data of the one or more value complexity prediction polynomials;
model predictive outcomes using at least the simulated return range data of the one or more value complexity prediction polynomials and TALP criteria data, and merge unoptimized external context data via a feedback loop over time; and
output optimized and discretized return range output data based on the modeled predictive outcomes.
13 . The system of claim 12 , wherein the unoptimized external context data comprises at least one of TALP family context data and resource limit data.
14 . The system of claim 12 , wherein the unoptimized external context data comprises one or more of capital market data, business data, and asset portfolio data.
15 . The system of claim 14 , wherein the capital market data comprises one or more of credit enhancement criteria or goal data, bond criteria or goal data, rating agency criteria or goal data, General Partner (GP) criteria or goal data, and Limited Partner (LP) criteria or goal data.
16 . The system of claim 12 , wherein the criteria input data includes one or more of resource availability data, TALP discretization criteria data, TALP optimization criteria data, and TALP selection criteria data.
17 . The system of claim 12 , wherein the criteria input data includes one or more of credit enhancement criteria or goal data, bond criteria or goal data, rating agency criteria or goal data, GP criteria or goal data, and LP criteria or goal data.
18 . The system of claim 12 , wherein the optimized and discretized return range output data comprises one or more of control discretization data, user discretization data, and resource availability data.
19 . The system of claim 12 , wherein the optimized and discretized return range output data comprises one or more of credit enhancement data and credit enhanced temporally sequenced data.
20 . The system of claim 19 , wherein the credit enhancement data or the credit enhanced temporally sequenced data is operatively outputted to one or more of a credit enhancer, a manager, a creditor, a bond investor, a GP, and an LP.
21 . The system of claim 12 , wherein the processor is further configured to execute the program code to execute a TALP execution engine that processes one or more of TALP output data, TALP optimization data, TALP processing time data, and overhead data.
22 . The system of claim 12 , wherein the processor is further configured to execute the program code to execute a TALP execution engine that processes one or more of economic data, credit enhancement data, bond data, rating agency data, GP criteria or goal data, and LP criteria or goal data.