Update

Author: odow

papers/Dowson_et_al_2026/final_results.out

@@ -0,0 +1,8 @@
+2 & 200 & \texttt{Dichotomy} & Gurobi & 34.7 & 69.0 & 1 & 90 \\
+2 & 200 & \texttt{Dichotomy} & HiGHS & 34.9 & 3571.1 & 125 & 98 \\
+2 & 200 & \texttt{EpsilonConstraint} & Gurobi & 405.4 & 813.8 & 29 & 99 \\
+2 & 200 & \texttt{EpsilonConstraint} & HiGHS & 405.4 & 813.8 & 351 & 100 \\
+2 & 200 & \texttt{TambyVanderpooten} & Gurobi & 405.4 & 818.2 & 30 & 99 \\
+2 & 200 & \texttt{TambyVanderpooten} & HiGHS & 405.4 & 818.6 & 365 & 100 \\
+3 & 100 & \texttt{TambyVanderpooten} & Gurobi & 3341.6 & 12717.1 & 583 & 97 \\
+4 & 50 & \texttt{TambyVanderpooten} & Gurobi & 1799.4 & 13699.7 & 506 & 69 \\

papers/Dowson_et_al_2026/main.jl

@@ -82,7 +82,7 @@ end
 
 l = eval.(Meta.parse.(readlines(results_filename)))
 df = DataFrames.DataFrame(l)
-df.percent_time = round.(Int, 100 .* df.solve_time_inner ./ df.solve_time)
+df.percent_time = 100 .* df.solve_time_inner ./ df.solve_time
 ret = DataFrames.combine(
 	DataFrames.groupby(df, [:p, :n, :alg, :solver]),
 	:result_count => Statistics.mean => :result_count,
@@ -91,9 +91,15 @@ ret = DataFrames.combine(
 	:percent_time => Statistics.mean => :percent_time,
 )
 ret.solve_time .= max.(1, round.(Int, ret.solve_time))
+ret.percent_time .= max.(1, round.(Int, ret.percent_time))
 sort!(ret, [:p, :n, :alg, :solver])
 open("final_results.out", "w") do io
-    print(io, ret)
+    for row in eachrow(ret)
+        print(io, row.p, " & ", row.n, " & \\texttt{", row.alg, "} & ")
+        print(io, row.solver, " & ", row.result_count, " & ")
+        print(io, row.subproblem_count, " & ", row.solve_time, " & ")
+        println(io, row.percent_time, " \\\\")
+    end
 end
 display(ret)