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A simple problem related to maximum flow

I have read that if we have a simple graph with n nodes and m edges how can we convert it into a directed graph?
More specifically, I have a problem which I want to be solved using maximum flow.
If I convert my graph into directed graph will the maximum flow problem be easier?
My attempt at the problem below:
For all the edges s t, set the demand(t) -demand(s)
It becomes easier to find the maximum flow. I am not sure if this is a correct approach.
I am not sure how to convert the graph to directed one.

A:

I will answer the first question that you have posed because it is the most relevant to the topic.
A linear program (LP) is a mathematical formulation for optimization problems. For the problem at hand, we have a single binary variable $x_{ij}$ for each edge $(i,j)$, such that $x_{ij} = 1$ if $(i,j)$ is an edge, and $x_{ij} = 0$ if it is not. We have a set of $m$ constraints, $c_i$ for $i=1\dots m$, such that the following must hold:

$\sum_{(i,j)\in E} x_{ij} = \text{flow}$
For all $(i,j)\in E$ and $k
e i,j$ we have $0\le x_{ij}+x_{
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