US 12,293,173 B2
Software systems and methods for multiple TALP family enhancement and management
Scott Andrew Smith, Ocala, FL (US); Christopher Graham Smith, Aurora, CO (US); and Kevin David Howard, Mesa, AZ (US)
Assigned to C SQUARED IP HOLDINGS LLC, Scottsdale, AZ (US)
Filed by C Squared IP Holdings LLC, Scottsdale, AZ (US)
Filed on Oct. 24, 2024, as Appl. No. 18/925,534.
Application 18/925,534 is a continuation of application No. 18/586,490, filed on Feb. 25, 2024, granted, now 12,175,224.
Application 18/586,490 is a continuation of application No. 18/241,943, filed on Sep. 4, 2023, granted, now 11,914,979, issued on Feb. 27, 2024.
Application 18/241,943 is a continuation of application No. 18/102,638, filed on Jan. 27, 2023, granted, now 11,861,336, issued on Jan. 2, 2024.
Application 18/102,638 is a continuation in part of application No. 17/887,402, filed on Aug. 12, 2022, granted, now 11,687,328, issued on Jun. 27, 2023.
Claims priority of provisional application 63/303,945, filed on Jan. 27, 2022.
Claims priority of provisional application 63/232,576, filed on Aug. 12, 2021.
Prior Publication US 2025/0045031 A1, Feb. 6, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 8/41 (2018.01); G06F 11/36 (2006.01)
CPC G06F 8/447 (2013.01) [G06F 11/3664 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A method of software enhancement and management, comprising:
inputting one or more data transformation algorithms representing asset investment and management 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 a chained unit system of one or more temporally sequenced TALP investment vehicle options based at least on the one or more value complexity prediction polynomials;
simulating the one or more temporally sequenced TALP investment vehicle options to optimize one or more predictive algorithmic output values based at least on acceptance criteria, wherein the acceptance criteria include one or more acceptable input values and one or more acceptable output values; and
outputting optimized temporally sequenced TALP investment vehicle options from the one or more predictive algorithmic output values.