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Matrix division isn't really as immediate as scalar division. Instead, we multiply a single matrix because of the inverse of another. If $$$A$$$ and $$$B$$$ are matrices, $$$A$$$ divided by $$$B$$$ is similar to $$$A$$$ multiplied via the inverse of $$$B$$$.
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This method is great for use in two-dimensional vector systems wherever the angle in between the vectors is often a recognized value as well as the Pythagorean theorem can be implemented to locate the magnitude of every vector. As soon as the magnitudes and angle are recognised, just two multiplication functions have to be performed.
This method is just not extremely practical to make use of if we are specified vector directions and magnitudes although not the i, j, and k components with the vectors. Method #2 can be simpler to use for those types of issues. Nevertheless, after we simply cannot establish the angle amongst vectors, we have to use approach #one.
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