Abstract: Systems, computer program products, and methods are described herein for implementing dynamic network channel switching for secure communication. The present invention is configured to receive, from a first user input device, a resource transfer request via a first communication channel; determine, using a secure channel monitoring engine, that the first communication channel does not meet one or more preset channel requirements for secure communication; determine a second communication channel associated with a second user input device, wherein the second user input device is within a preset geographic radius of the first user input device, wherein the second user input device is associated with the resource distribution platform; trigger, via the second communication channel, the second user input device to establish a communication link with the first user input device to form an alternate communication channel; and execute, via the alternate communication channel, the resource transfer request.

Abstract: Systems, computer program products, and methods are described herein for dynamic communication channel switching based on preconfigured network security protocols.

Abstract: Systems, computer program products, and methods are described herein for the parallel testing of multiple data processing channels. The present invention may be configured to generate a data packet, send the data packet to a processing channel for processing at a send time, receive the processed data from the processing channel at a return time, determine the percent accuracy for the processed data from the processing channel, and record the send time, return time, and percent accuracy in an analytics system. The present invention may also be configured to determine the security of the processing channel and record the security in the analytics system.

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.

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.

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.

Abstract: A software enhancement and management system (E&M System) can include two ways to decompose existing software such that new functionality can be added: functional decomposition and time-affecting linear pathway (TALP) decomposition. Functional decomposition captures the inputs and outputs of the existing software's functions and attaches the new algorithmic constructs presented as other functions that receive the outputs of the existing software's functions. TALP decomposition allows for the generation of time-prediction polynomials that approximate time-complexity functions, speedup, and automatic dynamic loop-unrolling-based parallelization for each TALP.

Abstract: Software systems and methods convert algorithms and software codes into time affecting linear pathways (TALPs) via decomposition and convert paired Input/Output (l/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.

Abstract: A software enhancement and management system (E&M System) can include two ways to decompose existing software such that new functionality can be added: functional decomposition and time-affecting linear pathway (TALP) decomposition. Functional decomposition captures the inputs and outputs of the existing software's functions and attaches the new algorithmic constructs presented as other functions that receive the outputs of the existing software's functions. TALP decomposition allows for the generation of time-prediction polynomials that approximate time-complexity functions, speedup, and automatic dynamic loop-unrolling-based parallelization for each TALP.

Abstract: A method, apparatus, and system for processing data to create investment structures can include a simulation module configured to operatively receive a plurality of external economic condition parameters from a system database and a plurality of investment parameters from an investment criteria database. In addition, an investment selection module configured to process the simulation output in conjunction with the plurality of investment parameters is included. Further, an allocation module configured to process flagged one or more investment vehicles from the system database, a finance structure module configured to process the simulation output from the simulation module, and a unit evaluation module configured to process at least the optimal financing unit structure can also be included.

Abstract: A method, apparatus or system is provided to receive, over a network connection, investment data associated with one or more investment vehicles. Investment data associated with one or more investment vehicles is received. Data analysis of the investment data is performed according to a plurality of investment parameters. Selection, based on the analysis of the investment data, of the one or more investment vehicles is made. The selected one or more investment vehicles is designated as part of a portfolio of a private equity fund. A yield value representing future cash flow of the selected portfolio is computed, wherein the prioritized units are associated correspondingly with one of or a combination of a plurality of rates of return, a plurality of risk tolerances, and a plurality of maturities, each of the rates of return being different from one another, each of the risk tolerances being different from one another, each of the maturities being different from one another.