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Introduction to Linux - A Hands on Guide

This guide was created as an overview of the Linux Operating System, geared toward new users as an exploration tour and getting started guide, with exercises at the end of each chapter.
For more advanced trainees it can be a desktop reference, and a collection of the base knowledge needed to proceed with system and network administration. This book contains many real life examples derived from the author's experience as a Linux system and network administrator, trainer and consultant. They hope these examples will help you to get a better understanding of the Linux system and that you feel encouraged to try out things on your own.

Yeah, use augmented matrices. You just reduce to reduced Row echelon from. A graphing calculator can also help solve this equation for you, but keeping track of matrix variables (prevents mistakes) and eases doing row operations.

Look up 'linear programming' on Google, and 'solving systems of linear equations'.

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Why is this in programming? :/

Likely because it is considered linear programming, and they did not see the context, but I do not know for sure.

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You can also use Cramer's rule and do it with determinants. I've never learnt about augmented matrices, so don't know about those.

An augmented matrix, is one that is just separated, typically to represent equality on one side. Cramer's rule and determinants of matrices are actually more advanced topics than augmented matrices

By the way, I am also curious where the equality symbols are here (only one as mentioned). Am I to assume the others are equal to zero, or that the last number in each equation is the Right Hand Side?

Hi all.
Yes, you can use it for such SOE. If I understand correctly, 12x8 SOE have an infinite set of solutions -- linear space. Axiom give you the basis of this space and a partial solution. Any linear function of basis-vectors will be a solution of uniform equation A*x=0. Any solution of nonuniform SOE A*x=b looks like x = x_part + c*x_base.
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