DYNAMIC EQUATION SOLVER FOR REAL TIME ENGINEERING APPLICATIONS

Abstract

The present invention relates to a dynamic equation solver for real-time engineering applications. The solver is designed to efficiently compute time-dependent, nonlinear, or large-scale equations by integrating adaptive algorithms, parallel processing, and real-time data inputs. It is capable of dynamically selecting the appropriate solving method based on real-time system conditions and continuously updating equations using sensor data. The system utilizes parallel processing units to ensure high-speed computations, making it suitable for complex engineering applications such as control systems, fluid dynamics, and energy management. The solver's feedback loop further optimizes computational accuracy over time, ensuring reliable and efficient performance in critical, real-time scenarios.

Specification

Description:The embodiments of the present invention generally relates to a dynamic equation solver for real-time engineering applications. More specifically, it involves a computational system that efficiently solves time-dependent, nonlinear, or large-scale equations across diverse engineering fields such as control systems, simulations, fluid dynamics, mechanical systems, and electrical circuits, using adaptive algorithms and parallel processing techniques. The invention is designed to meet the computational challenges posed by real-time feedback loops and rapidly changing system parameters in engineering environments
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the pr , Claims:1. A dynamic equation solver for real-time engineering applications, comprising:
a central processing unit configured to receive real-time data inputs and perform computations on time-dependent equations;
an adaptive algorithm module that selects an appropriate solving method based on the nature of the equation and real-time data inputs;
an interface module that integrates real-time sensor or data source inputs into the solver system for dynamic equation updates;
a parallel processing unit that distributes computational tasks across multiple processors to handle large-scale equations efficiently;
a feedback loop that continuously monitors and adjusts the solver parameters to improve the accuracy and computational efficiency of the solution.

2. The dynamic equation solver of claim 1, wherein the adaptive algorithm module selects the solving method from a group consisting of Runge-Kutta methods, finite difference methods, finite element analysis, and machine learning-based models.

3. The dynamic equation solv

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