CVXPY
Minimize
  norm_inf(X + -[[2.00 1.00]
 [-2.00 -4.00]])
Subject To
Bounds
 X free
End
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AFTER COMPILATION
Minimize
 Obj: +1 x_0
Subject to
 c1: -1 x_0 +1 x_1 <= +2
 c2: -1 x_0 +1 x_2 <= -2
 c3: -1 x_0 +1 x_3 <= +1
 c4: -1 x_0 +1 x_4 <= -4
 c5: -1 x_0 -1 x_1 <= -2
 c6: -1 x_0 -1 x_2 <= +2
 c7: -1 x_0 -1 x_3 <= -1
 c8: -1 x_0 -1 x_4 <= +4
Bounds
 x_0 free
 x_1 free
 x_2 free
 x_3 free
 x_4 free
End
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SCIP
Minimize
 Obj: +1 norminf_1
Subject to
\   [nonlinear] <norminf_1_0_0>: abs((<X_0_0>+(-2)))+<norminf_1>*(-1) <= 0;
\   [nonlinear] <norminf_1_0_1>: abs((<X_0_1>+(-1)))+<norminf_1>*(-1) <= 0;
\   [nonlinear] <norminf_1_1_0>: abs((<X_1_0>+2))+<norminf_1>*(-1) <= 0;
\   [nonlinear] <norminf_1_1_1>: abs((<X_1_1>+4))+<norminf_1>*(-1) <= 0;
Bounds
 X_0_0 free
 X_0_1 free
 X_1_0 free
 X_1_1 free
End