Abstract: Methods and apparatuses are described in which unstructured computer text is analyzed for generation of customized digital documents. A server tokenizes and encodes historical user interactions and historical digital documents into multidimensional vectors. The server trains an interaction classification model using the multidimensional vectors as input to generate a classification for an input user interaction, and trains a language generation model using the multidimensional vectors as input to generate a customized digital document based upon an input user interaction. The server receives a new user interaction and encodes the new user interaction into a new multidimensional vector. The server executes the trained interaction classification model using the new vector as input to generate a digital document classification. The server executes the trained language generation model using the new vector and the classification as input to generate a customized digital document.

Abstract: Methods and apparatuses are described in which unstructured computer text is analyzed for generation of customized digital documents. A server tokenizes and encodes historical user interactions and historical digital documents into multidimensional vectors. The server trains an interaction classification model using the multidimensional vectors as input to generate a classification for an input user interaction, and trains a language generation model using the multidimensional vectors as input to generate a customized digital document based upon an input user interaction. The server receives a new user interaction and encodes the new user interaction into a new multidimensional vector. The server executes the trained interaction classification model using the new vector as input to generate a digital document classification. The server executes the trained language generation model using the new vector and the classification as input to generate a customized digital document.

Abstract: A method is provided of simulating a system. The method defines equations modeling the system using terms having characteristics encapsulated within the term. Next, the method performs symbolic processing on the established equations for simplification. Additionally, the method performs system processing on the established equations for efficient simulation. Aspects of some embodiments of the described invention include a method of symbolically processing a set of equations, a method of eliminating an integral in a Pantelides algorithm, and a method of tearing block equation blocks.

Abstract: A method is provided of simulating a system. The method defines equations modeling the system using terms having characteristics encapsulated within the term. Next, the method performs symbolic processing on the established equations for simplification. Additionally, the method performs system processing on the established equations for efficient simulation. Aspects of some embodiments of the described invention include a method of symbolically processing a set of equations, a method of eliminating an integral in a Pantelides algorithm, and a method of tearing block equation blocks.