Hello, Consider for example this set of linear inequalities: [zzzz1] It is equivalent to: [zzzz2] and this can be represented as A*[x;y;z] <= b where the matrix A is given by the coefficients of the variables at the LHS and the vector b is the one made of the bounds at the RHS. Is it possible …

There a ways to do this in JuMP, but they’re not documented: e.g. [image] Get presolved model from Gurobi Optimization (Mathematical) There is an internal function to create a “standard form” version for inspecting the problem ## JuMP.jl/src/lp_sensitivity2.jl: # Docstrin…

Thanks! This does not directly gives what I want but it should not be difficult to get what I want from these outputs: using JuMP model = Model() @variable(model, x) @variable(model, y) @variable(model, z) @constraint(model, x >= 0) @constraint(model, x <= 10) @constraint(model, y >= 0) @constra…

Hmm… I need the possibility to deal with Rational coefficients and bounds, and it seems that JuMP only returns some Float64 stuff.

Thanks to some help I got on SO, I have this feature in Python, with SymPy. def __getAb0(inequalities, symbols, required_type): # assumptions: # 1. all inequalities are written with the same relational: < or <= or > or >= # 2. For each inequality, LHS and RHS are linear in `symbols` …

GitHub - JuliaPy/SymPy.jl: Julia interface to SymPy via PyCall ?

Perhaps it is time to make this a public function. People seem to keep wanting it

Thanks. I’m aware of SymPy.jl but I have not been able to install it (on Windows). I don’t want to include a dependency with a potential difficulty in installing it.

Matrix-vector representation of a system of linear inequalities

General Usage

jd-foster November 14, 2023, 10:25am 2

There a ways to do this in JuMP, but they’re not documented: e.g.

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Matrix-vector representation of a system of linear inequalities

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