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Matrices have various applications in real life. They are used in physics to study electrical circuits, quantum mechanics, and optics. Programmers also use matrices and inverse matrices for coding and encrypting messages. In dimensional work, matrices help project 3D images onto 2D screens to create realistic motions. Matrices are applied in economics to calculate GDP and efficiently measure goods production. They also help organizations like scientists record experiment data. Google search uses matrices in its page rank algorithm to rank search results.
Presented by Khan Mohammad Shayshab Azad, ID: 161002036. Introduction to the applications of matrices in various real-life scenarios.
Contextual overview of how matrices are applied in real life, dimensional work, calculations, and Google search functionalities.
Matrices are utilized in physics for electrical circuits, quantum mechanics, and optics, along with coding and encryption in programming.
Matrices are crucial for projecting 3D images onto 2D screens, enhancing realism in computer applications.
Matrices help calculate GDP in economics and are used by scientists for recording experiments efficiently.
Stochastic matrices and Eigen vector solvers are integral to the page rank algorithms used in Google search ranking.
Closing remarks and gratitude for the audience's attention.






