Skip to main content

equation solving - Speed up Eliminate


I have a set of trig equations, c1,c2,c3 are constants, I excepted the result is


c1 c2 c3 r^2 + (c1^2 + c2^2 + c3^2 - 1) r + c1 c2 c3 == 0 but following code worked so slow, is there a faster method do this?



Eliminate[{
c1 == Cos[a] Sin[b],
c2 == Cos[b] Sin[c],
c3 == Cos[c] Sin[a],
r== Tan[a] Tan[b] Tan[c]}, {a, b, c}]

Answer



Can be made much more efficient if you replace the trigonometric stuff with explicit algebraic variables. This will involve clearing denominators and also augmenting with more algebraic expressions that enforce the basic trig identities.


eqns = {c1 == Cos[a] Sin[b], c2 == Cos[b] Sin[c], c3 == Cos[c] Sin[a],
r == Tan[a] Tan[b] Tan[c]};
e2 = Apply[Subtract, eqns, {1}];

e3 = e2 /. {Cos[a_] :> c[a], Sin[a_] :> s[a], Tan[a_] :> s[a]/c[a]};
vars = Variables[e3];
newe = Map[#^2 + s[#[[1]]]^2 - 1 &, Cases[vars, c[_]]];
allexprs = Numerator[Together[Join[e3, newe]]];
elims = Cases[vars, _c | _s];
keep = Complement[vars, elims];

elim = Eliminate[allexprs == 0, elims]

(* Out[75]= c3^2 r + c1 c2 c3 (1 + r^2) == (1 - c1^2 - c2^2) r *)


I often find it easier to use GroebnerBasis rather than Eliminate.


Timing[gb = GroebnerBasis[allexprs, keep, elims]]

(* Out[73]= {0.133516, {c1 c2 c3 - r + c1^2 r + c2^2 r + c3^2 r +
c1 c2 c3 r^2}} *)

Comments

Popular posts from this blog

front end - keyboard shortcut to invoke Insert new matrix

I frequently need to type in some matrices, and the menu command Insert > Table/Matrix > New... allows matrices with lines drawn between columns and rows, which is very helpful. I would like to make a keyboard shortcut for it, but cannot find the relevant frontend token command (4209405) for it. Since the FullForm[] and InputForm[] of matrices with lines drawn between rows and columns is the same as those without lines, it's hard to do this via 3rd party system-wide text expanders (e.g. autohotkey or atext on mac). How does one assign a keyboard shortcut for the menu item Insert > Table/Matrix > New... , preferably using only mathematica? Thanks! Answer In the MenuSetup.tr (for linux located in the $InstallationDirectory/SystemFiles/FrontEnd/TextResources/X/ directory), I changed the line MenuItem["&New...", "CreateGridBoxDialog"] to read MenuItem["&New...", "CreateGridBoxDialog", MenuKey["m", Modifiers-...

How to thread a list

I have data in format data = {{a1, a2}, {b1, b2}, {c1, c2}, {d1, d2}} Tableform: I want to thread it to : tdata = {{{a1, b1}, {a2, b2}}, {{a1, c1}, {a2, c2}}, {{a1, d1}, {a2, d2}}} Tableform: And I would like to do better then pseudofunction[n_] := Transpose[{data2[[1]], data2[[n]]}]; SetAttributes[pseudofunction, Listable]; Range[2, 4] // pseudofunction Here is my benchmark data, where data3 is normal sample of real data. data3 = Drop[ExcelWorkBook[[Column1 ;; Column4]], None, 1]; data2 = {a #, b #, c #, d #} & /@ Range[1, 10^5]; data = RandomReal[{0, 1}, {10^6, 4}]; Here is my benchmark code kptnw[list_] := Transpose[{Table[First@#, {Length@# - 1}], Rest@#}, {3, 1, 2}] &@list kptnw2[list_] := Transpose[{ConstantArray[First@#, Length@# - 1], Rest@#}, {3, 1, 2}] &@list OleksandrR[list_] := Flatten[Outer[List, List@First[list], Rest[list], 1], {{2}, {1, 4}}] paradox2[list_] := Partition[Riffle[list[[1]], #], 2] & /@ Drop[list, 1] RM[list_] := FoldList[Transpose[{First@li...

mathematical optimization - Minimizing using indices, error: Part::pkspec1: The expression cannot be used as a part specification

I want to use Minimize where the variables to minimize are indices pointing into an array. Here a MWE that hopefully shows what my problem is. vars = u@# & /@ Range[3]; cons = Flatten@ { Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; Minimize[{Total@((vec1[[#]] - vec2[[u[#]]])^2 & /@ Range[1, 3]), cons}, vars, Integers] The error I get: Part::pkspec1: The expression u[1] cannot be used as a part specification. >> Answer Ok, it seems that one can get around Mathematica trying to evaluate vec2[[u[1]]] too early by using the function Indexed[vec2,u[1]] . The working MWE would then look like the following: vars = u@# & /@ Range[3]; cons = Flatten@{ Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; NMinimize[ {Total@((vec1[[#]] - Indexed[vec2, u[#]])^2 & /@ R...