How to convert `x[1] = 1.0` as $x_1$ = 1.0 in Jupyter notebook?


using JuMP, GLPK
model = Model(GLPK.Optimizer)
@variable(model, x[i=1:4]>= 0.5, Int)
@objective(model, Min, sum(x))

for x in all_variables(model)
    println("$(name(x)) = $(value(x))")

As you know, run it in Jupyter notebook, you can get the output like this:

x[1] = 1.0
x[2] = 1.0
x[3] = 1.0
x[4] = 1.0

and when you just input x[1], you will get: x_1

So, I want to show my output like:

x_1 = 1.0\\ x_2 = 1.0\\ x_3 = 1.0\\ x_4 = 1.0

How to get these result with a simple code? And it will be the best if this result can be showed in REPL.

Thanks in advance!

There’s no easy answer to this. JuMP has a special show call to print variables and constraints in LaTeX, and this doesn’t get called for things via println.

What do you need if for? What’s your goal?

You could do something like this:

or, using the LaTeXStrings.jl package:

1 Like

I just think the result show in LaTeX style is more friendly which make variables look like letters printed in real books.