the cramers rule is applied on matrices
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The matrices that follow d rule of reflexivity is known as ref matrix
Unless your "everyday life" involves work in some area of engineering, you won't use matrices in your everyday life.
Matrices are used in pretty much any situation where several linear equations are involved. They're used all over the place in physics, chemistry, engineering, and economics. I linked a site below with more information.
the cramers rule is applied on matrices
Matrices were used to organize data.
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Let me correct you: two-dimensional arrays are used in programming to represent matrices. (Matrices are objects of mathematics, arrays are objects of programming.)
The method must be of pretty high quality if it can be used for a variety of matrices.
The matrices that follow d rule of reflexivity is known as ref matrix
A prime example of matrices (plural) being used in computers if in computer graphics and rendering where matrices are used in 3D work for transformations like rotation, scaling and translations. Although I'm sure there are plenty more fields in computer science where matrices may be used.
Commuting in algebra is often used for matrices. Say you have two matrices, A and B. These two matrices are commutative if A * B = B * A. This rule can also be used in regular binary operations(addition and multiplication). For example, if you have an X and Y. These two numbers would be commutative if X + Y = Y + X. The case is the same for X * Y = Y * X. There are operations like subtraction and division that are not commutative. These are referred to as noncommutative operations. Hope this helps!!
Matrices are used to figure who is seeded in a contest like the NCAA basketball final four. Matrices are used in any calculation that has to do with multiple variables. In business the maximum that you charge for a ticket and make the most money, I have used matrices.
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Unless your "everyday life" involves work in some area of engineering, you won't use matrices in your everyday life.
Only square matrices have inverses.