Tag Info

New answers tagged


You can use the new (in V10) ImplicitRegion function as follows: reg = ImplicitRegion[0 <= x <= 1, {x}]; Then: ArgMax[f1[x], x ∈ reg]


In V10, another option is to use Association. par=<|"mu"->1,"sigma"->1,"lb"->0,"ub"->10|>; f[x_, p_Association:par] := PDF[LogNormalDistribution[p["mu"], p["sigma"]], x] Plot[f[x, ##], {x, #lb, #ub}] &@par Another form for Plot is: Plot[f[x, par], {x, par@"lb", par@"ub"}] And as @Mr.Wizard commented, you can use the default ...


There are a number of options and their attractiveness will depend on the scenario for their use, therefore it is difficult to make any broad recommendations of best practice. I will say that generally it is not recommended to rely on global assignments as in your first example, because this method scales poorly and because it is easy to make mistakes and ...


Clear["Global`*"] g[x_] := x^3 f1[x_] := g[x^2] f2[x_] := g[x^3] Definition@f1 f1[x_] := g[x^2] FullDefinition@f1 f1[x_] := g[x^2] g[x_] := x^3 Head@f1 Symbol Information["f*"] a[1] = 1; a[2] = 2; ?a DownValues@a UpValues@a


A Condition is treated as part of the unique pattern of every assignment, even on the right-hand-side: f := 1 /; foo f := 2 /; bar Definition[f] f := 1 /; foo f := 2 /; bar You are using the notably unusual form: lhs := Module[{vars}, rhs /; test] allows local variables to be shared between test and rhs. You can use the same construction with ...

Top 50 recent answers are included