# How can I stop a Gurobi solve in JuMP in real time (like Ctrl+C) and still keep the solution?

**URL:** <https://discourse.julialang.org/t/how-can-i-stop-a-gurobi-solve-in-jump-in-real-time-like-ctrl-c-and-still-keep-the-solution/132841>\
**Category:** Optimization (Mathematical)\
**Tags:** question, jump, gurobi\
**Created:** [October 3, 2025, 4:43am UTC](https://discourse.julialang.org/t/how-can-i-stop-a-gurobi-solve-in-jump-in-real-time-like-ctrl-c-and-still-keep-the-solution/132841 "2025-10-03T04:43:06Z")\
**Posts on this page:** 1\
**Showing post:** 2

<div class="post-metadata">

**Author:** ![WalterMadelim](https://avatars.discourse-cdn.com/v4/letter/w/3e96dc/32.png) [@WalterMadelim](https://discourse.julialang.org/u/WalterMadelim)\
**Post date:** [October 3, 2025, 5:51am UTC](https://discourse.julialang.org/t/how-can-i-stop-a-gurobi-solve-in-jump-in-real-time-like-ctrl-c-and-still-keep-the-solution/132841/2 "2025-10-03T05:51:21Z")

</div>

> [@amit\_97](#):
>
> In Julia, pressing **Ctrl+C** usually kills the entire Julia process instead of just stopping Gurobi.

Please press _once_.

e.g.

```julia
import JuMP, Gurobi, SparseArrays
N = 50 # 754 seconds
Q = 1. * SparseArrays.dropzeros(
    SparseArrays.spdiagm(
        [i => rand(-9:9, N - i) for i in 0:div(N, 2)]...
    )
)
m = JuMP.Model();
JuMP.@variable(m, rand(-7:-3) <= y[1:N] <= rand(3:7));
JuMP.@variable(m, rand(-9:-5) <= x[1:N] <= rand(5:9));
JuMP.@objective(m, Min, (x'Q)y);
JuMP.set_optimizer(m, Gurobi.Optimizer)
JuMP.optimize!(m); JuMP.solution_summary(m)

```

test:

```julia
julia> JuMP.optimize!(m); JuMP.solution_summary(m)
Gurobi Optimizer version 12.0.3 build v12.0.3rc0 (linux64 - "Debian GNU/Linux 12 (bookworm)")

CPU model: AMD EPYC 7763 64-Core Processor, instruction set [SSE2|AVX|AVX2]
Thread count: 128 physical cores, 256 logical processors, using up to 32 threads

Optimize a model with 0 rows, 100 columns and 0 nonzeros
Model fingerprint: 0x8f14f73d
Model has 927 quadratic objective terms
Coefficient statistics:
  Matrix range [0e+00, 0e+00]
  Objective range [0e+00, 0e+00]
  QObjective range [2e+00, 2e+01]
  Bounds range [3e+00, 9e+00]
  RHS range [0e+00, 0e+00]

Continuous model is non-convex -- solving as a MIP

Found heuristic solution: objective 1972.0000000
Found heuristic solution: objective -90.0000000
Presolve removed 0 rows and 5 columns
Presolve time: 0.01s
Presolved: 921 rows, 1016 columns, 2763 nonzeros
Found heuristic solution: objective -1365.000000
Variable types: 0 continuous, 1016 integer (1016 binary)

Root relaxation: objective -1.668040e+05, 396 iterations, 0.00 seconds (0.00 work units)

    Nodes | Current Node | Objective Bounds | Work
 Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time

     0 0 -166804.00 0 95 -1365.0000 -166804.00 - - 0s
H 0 0 -31392.00000 -166804.00 431% - 0s
H 0 0 -42554.00000 -166804.00 292% - 0s
H 0 0 -44102.00000 -166804.00 278% - 0s
H 0 0 -45200.00000 -166804.00 269% - 0s
     0 0 -154413.00 0 127 -45200.000 -154413.00 242% - 0s
     0 0 -148261.00 0 145 -45200.000 -148261.00 228% - 0s
     0 0 -148189.50 0 145 -45200.000 -148189.50 228% - 0s
     0 2 -148189.50 0 145 -45200.000 -148189.50 228% - 0s
H 31 64 -46492.00000 -134496.00 189% 132 0s
H 50 64 -47016.00000 -133618.25 184% 121 0s
H 51 64 -47256.00000 -133215.88 182% 121 0s
H 511 542 -48548.00000 -129601.50 167% 82.7 0s
H 545 689 -48697.00000 -129601.50 166% 82.5 0s
H 572 689 -49412.00000 -129601.50 162% 82.1 0s
* 1639 1572 40 -50381.00000 -128661.00 155% 69.6 0s
* 1640 1572 40 -50573.00000 -128661.00 154% 69.6 0s
* 1642 1572 38 -54946.00000 -128661.00 134% 69.5 0s
H 1794 1693 -57200.00000 -128596.63 125% 69.3 0s
H 1990 1823 -57215.00000 -128479.25 125% 69.1 0s
H 1994 1823 -57981.00000 -128479.25 122% 69.1 0s
H 2020 1823 -58562.00000 -128479.25 119% 69.0 0s
H 2083 1823 -59088.00000 -128479.25 117% 69.1 0s
H 2160 1985 -60250.00000 -128479.25 113% 69.2 0s
H 2340 2000 -60908.00000 -127924.75 110% 69.3 0s
H 2755 2220 -62933.00000 -127388.67 102% 68.3 0s
H 3141 2478 -63149.00000 -126541.00 100% 67.1 0s
 58996 26304 -84114.500 28 813 -63149.000 -94544.362 49.7% 42.3 5s
^C
Cutting planes:
  Gomory: 42
  Flow cover: 340
  Zero half: 366
  RLT: 7
  BQP: 4

Explored 59003 nodes (2510577 simplex iterations) in 7.97 seconds (10.92 work units)
Thread count was 32 (of 256 available processors)

Solution count 10: -63149 -62933 -60908 ... -54946

Solve interrupted
Best objective -6.314900000000e+04, best bound -8.731000000000e+04, gap 38.2603%

User-callback calls 119146, time in user-callback 0.02 sec
solution_summary(; result = 1, verbose = false)
├ solver_name : Gurobi
├ Termination
│ ├ termination_status : INTERRUPTED
│ ├ result_count : 10
│ ├ raw_status : Optimization was terminated by the user.
│ └ objective_bound : -8.73100e+04
├ Solution (result = 1)
│ ├ primal_status : FEASIBLE_POINT
│ ├ dual_status : NO_SOLUTION
│ ├ objective_value : -6.31490e+04
│ └ relative_gap : 3.82603e-01
└ Work counters
  ├ solve_time (sec) : 7.99659e+00
  ├ simplex_iterations : 2510577
  ├ barrier_iterations : 0
  └ node_count : 59003

julia> JuMP.value.(x)
50-element Vector{Float64}:

```

> [@amit\_97](#):
>
> In Julia, pressing **Ctrl+C** usually kills the entire Julia process

This is not correct either, you can refer to [The Julia REPL · The Julia Language](https://docs.julialang.org/en/v1/stdlib/REPL/#Key-bindings)

---

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