Subject: Mathematics
Book: Maths Mastery
Matrices transform sets of linear equations into a compact form AX = B, where A holds coefficients, X is the variable matrix, and B is the constants matrix. Techniques like Gaussian elimination or inverse matrices help solve for X. For example, if A is a 2×2 matrix and B is a 2×1 matrix, finding X often involves computing A⁻¹B. Matrices are crucial in computer graphics (transformations), engineering (stress-strain systems), and advanced math modeling. Proficiency ensures you can handle large or complex linear systems systematically, bridging theoretical knowledge with powerful computational methods.
What is the HCF of 72 and 120?
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