Matrix Optimization Algorithm for WebGL-Based 3D Visualization Construction Models

3D visualization has been widely used in various fields, from scientific computing to data analysis and virtual reality, etc., with increasingly demanding performance and quality requirements. WebGL-based 3D rendering technology brings powerful graphics processing capabilities to the Web platform, however, complex 3D models require efficient matrix operations to handle transformations, projections and view switching, etc. Traditional algorithms are difficult to strike a balance between performance and effect. In this paper, we propose an algorithm based on matrix optimization, which is specifically used to improve the computational efficiency and rendering quality of WebGL 3D visualization construction. Based on the analysis of existing algorithms, this paper proposes a strategy combining matrix decomposition and parallel optimization, and experimentally verifies its significant performance improvement in complex 3D scenes. Ultimately, the research in this paper not only improves the real-time interactive performance of 3D visualization, but also provides theoretical and practical support for future complex 3D applications based on WebGL.