@@ -518,18 +518,13 @@ function alg_cache(alg::AdaptiveRadau, u, rate_prototype, ::Type{uEltypeNoUnits}
518518 end
519519 num_stages = min_stages
520520
521- tabs = [RadauIIATableau5(uToltype, constvalue(tTypeNoUnits)), RadauIIATableau9(uToltype, constvalue(tTypeNoUnits)), RadauIIATableau13(uToltype, constvalue(tTypeNoUnits))]
522- i = max(min_stages, 9 )
523- while i <= max_stages
524- push!(tabs, RadauIIATableau(uToltype, constvalue(tTypeNoUnits), i))
525- i += 2
526- end
521+ tabs = [RadauIIATableau(uToltype, constvalue(tTypeNoUnits), i) for i in min_stages: 2 : max_stages]
527522 cont = Vector{typeof(u)}(undef, max_stages)
528523 for i in 1 : max_stages
529524 cont[i] = zero(u)
530525 end
531526
532- index = min((min_stages - 1 ) ÷ 2 , 4 )
527+ index = 1
533528
534529 κ = alg. κ != = nothing ? convert(uToltype, alg. κ) : convert(uToltype, 1 // 100 )
535530 J = false .* _vec(rate_prototype) .* _vec(rate_prototype)'
@@ -602,14 +597,9 @@ function alg_cache(alg::AdaptiveRadau, u, rate_prototype, ::Type{uEltypeNoUnits}
602597 end
603598 num_stages = min_stages
604599
605- tabs = [RadauIIATableau5(uToltype, constvalue(tTypeNoUnits)), RadauIIATableau9(uToltype, constvalue(tTypeNoUnits)), RadauIIATableau13(uToltype, constvalue(tTypeNoUnits))]
606- i = max(min_stages, 9 )
607- while i <= max_stages
608- push!(tabs, RadauIIATableau(uToltype, constvalue(tTypeNoUnits), i))
609- i += 2
610- end
600+ tabs = [RadauIIATableau(uToltype, constvalue(tTypeNoUnits), i) for i in min_stages: 2 : max_stages]
611601
612- index = min((min_stages - 1 ) ÷ 2 , 4 )
602+ index = 1
613603
614604 κ = alg. κ != = nothing ? convert(uToltype, alg. κ) : convert(uToltype, 1 // 100 )
615605
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