Re: Mathematica results different on different computers !
- To: mathgroup at smc.vnet.net
- Subject: [mg125567] Re: Mathematica results different on different computers !
- From: Nabeel Butt <nabeel.butt at gmail.com>
- Date: Mon, 19 Mar 2012 04:56:55 -0500 (EST)
- Delivered-to: l-mathgroup@mail-archive0.wolfram.com
- References: <201203180740.CAA14090@smc.vnet.net>
My suspicions are turning true ...MAYBE there is something wrong with
version 8.0.4 because a very good piece of hardware on 8.0.4 is giving some
spurious results when the code I attach in the end is run---This code gives
the value which the list should converge to theoretically -my laptop with
an extremely inferior hardware but with version 8.0.1 returns the correct
results :------and the code is :
Clear[M, s, \[Lambda], \[CapitalDelta]T, \[Mu], m, \[Sigma], f, fc, \
mean, var, rmean, rvar, exp, sol, p, g, J, \[Xi], g1, g2]
Off[InterpolatingFunction::dmval];
sll[ll_, elem_] := ll[[Ordering[ll[[All, elem]]]]];
UU = 7;
\[Lambda] = 0.05;
\[Mu] = 0.05;
\[CapitalDelta]T = T/nn;
T = 1;
nn = 4;
m1 = 0.08;
\[Sigma]1 = 0.2;
m2 = 0.14;
\[Sigma]2 = 0.8;
\[Rho] = 0.1;
mean1 = (m1 - (\[Sigma]1^2)/2)*\[CapitalDelta]T;
var1 = (\[Sigma]1^2)*\[CapitalDelta]T;
rmean1 = E^(mean1 + 1/2 var1);
rvar1 = ((E^var1 - 1) E^(2*mean1 + var1));
mean2 = (m2 - (\[Sigma]2^2)/2)*\[CapitalDelta]T;
var2 = (\[Sigma]2^2)*\[CapitalDelta]T;
rmean2 = E^(mean2 + 1/2 var2);
rvar2 = ((E^var2 - 1) E^(2*mean2 + var2));
b1 = {rk1l = 0.001, rk1u = (rmean1 + 5*Sqrt[rvar1])};
b2 = {rk2l = 0.001, rk2u = (rmean2 + 5*Sqrt[rvar2])};
dl = (rk1u - rk1l)/Num;
dk = (rk2u - rk2l)/Num;
\[ScriptCapitalD] =
TransformedDistribution[
Exp[ {u, v}], {u, v} \[Distributed]
MultinormalDistribution[{(m1 - (\[Sigma]1^2)/
2)*\[CapitalDelta]T, (m2 - (\[Sigma]2^2)/
2)*\[CapitalDelta]T}, {{\[Sigma]1^2*\[CapitalDelta]T, \
\[Rho]*\[Sigma]1*\[Sigma]2*\[CapitalDelta]T}, {\[Rho]*\[Sigma]1*\
\[Sigma]2*\[CapitalDelta]T, \[Sigma]2^2*\[CapitalDelta]T}}]];
data = RandomVariate[\[ScriptCapitalD], 10^6];
\[ScriptCapitalD]1 = SmoothKernelDistribution[data];
f[l_, k_] := Evaluate[PDF[\[ScriptCapitalD]1, {l, k}]];
amin = N[0.001];
amax = N[0.999];
da = 0.01;
ParallelEvaluate[Off[NIntegrate::maxp]]
ParallelEvaluate[Off[NIntegrate::slwcon]]
(*dist/.{{x_Real,y_Real},z_Real}->x+y+z*)
tlist1 = Parallelize[ParallelEvaluate[
Off[FindMinimum::reged]];
ParallelEvaluate[Off[FindMaximum::lstol]]; Table[{a,
{l = Max[templist = {(sol1 = Flatten[Last[NestList[{{#[[1, 1]]/2},
Reverse[
Last[sll[
Flatten[
Table[{{\[Xi]}, (NIntegrate[(f[r,
S]*(Log[(S + \[Xi] (r - S) + \[Mu] (\[Xi] -
a) S)])), {r, rk1l, rk1u}, {S, rk2l, rk2u},
AccuracyGoal -> 5, MaxPoints -> 2000])}, {\[Xi],
If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
0, (#[[2, 2, 1]] - 2*#[[1, 1]]), 0],
If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <=
a, (#[[2, 2, 1]] + 2*#[[1, 1]]), a], #[[1, 1]]}],
0], 2]]]} & ,
{{a/4}, {-100, {a/2}}}, UU]][[2]]])[[
1]], (sol2 = Flatten[Last[NestList[{{#[[1, 1]]/2},
Reverse[
Last[sll[
Flatten[
Table[{{\[Xi]}, (NIntegrate[
f[r, S]*(Log[(S + \[Xi] (r -
S) - \[Lambda] (\[Xi] - a) S)]), {r, rk1l,
rk1u}, {S, rk2l, rk2u}, AccuracyGoal -> 5,
MaxPoints -> 2000])}, {\[Xi],
If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
a, (#[[2, 2, 1]] - 2*#[[1, 1]]), a],
If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <= (
1 + a*\[Lambda])/(
1 + \[Lambda]), (#[[2, 2, 1]] + 2*#[[1, 1]]), (
1 + a*\[Lambda])/(1 + \[Lambda])], #[[1, 1]]}],
0], 2]]]} & ,
{{0.25*((1 + a*\[Lambda])/(1 + \[Lambda]) -
a)}, {-100, {0.5*(a + (1 + a*\[Lambda])/(
1 + \[Lambda]))}}}, UU]][[2]]])[[1]],
NIntegrate[
f[r, S]*Log[(S + a (r - S))], {r, rk1l, rk1u}, {S, rk2l,
rk2u}, AccuracyGoal -> 5, MaxPoints -> 2000]}],
If[templist[[3]] == l, 3, Flatten[Position[templist, l]][[1]]],
Piecewise[{{0, templist[[3]] == l}, {sol1[[2]],
templist[[1]] == l}, {sol2[[2]], templist[[2]] == l}}]}}, {a,
amin, amax, da}]];
(*points=Select[tlist,#[[2,2]]==3&]/.{a_,{J_,I_,\[CapitalDelta]_}}->a
Graphics[Point[points],Axes->True]*)
(*points=Select[Flatten[templist/.{{x_,y_},{z_,w_}}->{{x,y},{w}},1],#[\
[2]][[1]]==3&]/.{{x_,y_},{w_}}->{x,y};*)
(*points=Select[tlist,#[[2,2]]==3&]/.{x_,{z_,w_}}->x;
points*)
JN = Interpolation[tlist1 /. {x_, {z_, w_, y_}} -> {x, z}];
(*PN=Interpolation[tlist/.{x_,{z_,w_,y_}}->{x,y}];*)
(*Off[InterpolatingFunction::dmval];*)
(*Plot[JN[x],{x,0,1}]*)
some = NestList[(JJ = #[[2]]; {tlist = Parallelize[ParallelEvaluate[
Off[FindMinimum::reged]];
ParallelEvaluate[Off[FindMaximum::lstol]];
ParallelEvaluate[Off[InterpolatingFunction::dmval]];
Table[(*nlist=(#[[1]]/.{x_,{z_,w_,y_}}->y);*){a,
{l =
Max[templist = {(sol1 =
Flatten[Last[NestList[{{#[[1, 1]]/2},
Reverse[
Last[sll[
Flatten[
Table[{{\[Xi]}, (NIntegrate[
f[r, S]*(((Log[(S + \[Xi] (r - S) + \[Mu] (\[Xi] -
a) S)] +
JJ[(\[Xi]*
r)/(S + \[Xi] (r - S) + \[Mu] (\[Xi] -
a) S)]))), {r, rk1l, rk1u}, {S, rk2l, rk2u},
AccuracyGoal -> 5, MaxPoints -> 2000])}, {\[Xi],
If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
0, (#[[2, 2, 1]] - 2*#[[1, 1]]), 0],
If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <=
a, (#[[2, 2, 1]] + 2*#[[1, 1]]), a], #[[1, 1]]}],
0], 2]]]} & ,
{{a/4}, {-100, {a/2}}}, UU]][[2]]])[[
1]], (sol2 = Flatten[Last[NestList[{{#[[1, 1]]/2},
Reverse[
Last[sll[
Flatten[
Table[{{\[Xi]}, (NIntegrate[
f[r, S]*((Log[(S + \[Xi] (r -
S) - \[Lambda] (\[Xi] - a) S)] +
JJ[(\[Xi]*
r)/(S + \[Xi] (r - S) - \[Lambda] (\[Xi] -
a) S)])), {r, rk1l, rk1u}, {S, rk2l, rk2u},
AccuracyGoal -> 5, MaxPoints -> 2000])}, {\[Xi],
If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
a, (#[[2, 2, 1]] - 2*#[[1, 1]]), a],
If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <= (
1 + a*\[Lambda])/(
1 + \[Lambda]), (#[[2, 2, 1]] + 2*#[[1, 1]]), (
1 + a*\[Lambda])/(1 + \[Lambda])], #[[1, 1]]}],
0], 2]]]} & ,
{{0.25*((1 + a*\[Lambda])/(1 + \[Lambda]) -
a)}, {-100, {0.5*(a + (1 + a*\[Lambda])/(
1 + \[Lambda]))}}}, UU]][[2]]])[[1]],
NIntegrate[
f[r, S]*(Log[(S + a (r - S))] +
JJ[(a*r)/(a*r + (1 - a) S)]), {r, rk1l, rk1u}, {S,
rk2l, rk2u}, AccuracyGoal -> 5,
MaxPoints -> 2000]}],
If[templist[[3]] == l, 3,
Flatten[Position[templist, l]][[1]]],
Piecewise[{{0, templist[[3]] == l}, {sol1[[2]],
templist[[1]] == l}, {sol2[[2]],
templist[[2]] == l}}]}}, {a, amin, amax, da}]],
Interpolation[
tlist /. {x_, {z_, w_, y_}} -> {x, z}]}) &, {tlist1, JN},
nn - 1]; // Timing
blist = Table[{Min[
points =
Select[some[[i, 1]], #[[2, 2]] == 3 &] /. {x_, {z_, w_, y_}} ->
x], Max[points]}, {i, 1, nn - 1}];
ListPlot[Transpose[blist], Joined -> True, PlotRange -> All]
ListPlot[Transpose[Differences[blist]], Joined -> True]
Last[blist]
AA = 0.5;
some[[nn, 2]][AA]
Plot[some[[nn, 2]][x], {x, 0, 1}]
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UWO,London
Ontario, Canada
On Sun, Mar 18, 2012 at 2:39 PM, Ralph Dratman <ralph.dratman at gmail.com>wrote:
> Num remains undefined, as far as I can see. Is that intended?
>
> Ralph
>
>
> On Sun, Mar 18, 2012 at 3:40 AM, Nabeel Butt <nabeel.butt at gmail.com>
> wrote:
> > Hi Guys ...
> > I run a piece of code on two different computers (different
> hardwares)
> > and I get different results.I think its something to do with overflow or
> > different precision on systems ? Personally I think my laptop with an
> > inferior hardware is giving me correct results. The code does involve
> some
> > simulation but running the simulation gives the same result on one
> > particular computer but different for different computers ! You can run
> and
> > tell me what answers you are getting ....Thanks in advance....and my code
> > is below :
> > \[Lambda] = 0.05;
> > \[Mu] = 0.05;
> > T = 1;
> > nn = 4;
> > \[CapitalDelta]T = T/nn;
> > m1 = 0.08;
> > \[Sigma]1 = 0.2;
> > m2 = 0.14;
> > \[Sigma]2 = 0.8;
> > \[Rho] = 0.1;
> > mean1 = (m1 - (\[Sigma]1^2)/2)*\[CapitalDelta]T;
> > var1 = (\[Sigma]1^2)*\[CapitalDelta]T;
> > rmean1 = E^(mean1 + 1/2 var1);
> > rvar1 = ((E^var1 - 1) E^(2*mean1 + var1));
> > mean2 = (m2 - (\[Sigma]2^2)/2)*\[CapitalDelta]T;
> > var2 = (\[Sigma]2^2)*\[CapitalDelta]T;
> > rmean2 = E^(mean2 + 1/2 var2);
> > rvar2 = ((E^var2 - 1) E^(2*mean2 + var2));
> > b1 = {rk1l = 0.001, rk1u = (rmean1 + 5*Sqrt[rvar1])};
> > b2 = {rk2l = 0.001, rk2u = (rmean2 + 5*Sqrt[rvar2])};
> >
> > dl = (rk1u - rk1l)/Num;
> > dk = (rk2u - rk2l)/Num;
> > \[ScriptCapitalD] =
> > TransformedDistribution[
> > Exp[ {u, v}], {u, v} \[Distributed]
> > MultinormalDistribution[{(m1 - (\[Sigma]1^2)/
> > 2)*\[CapitalDelta]T, (m2 - (\[Sigma]2^2)/
> > 2)*\[CapitalDelta]T}, {{\[Sigma]1^2*\[CapitalDelta]T, \
> > \[Rho]*\[Sigma]1*\[Sigma]2*\[CapitalDelta]T}, {\[Rho]*\[Sigma]1*\
> > \[Sigma]2*\[CapitalDelta]T, \[Sigma]2^2*\[CapitalDelta]T}}]];
> > data = Parallelize[RandomVariate[\[ScriptCapitalD], 10^5]];
> > ParallelEvaluate[data];
> >
> >
> > bndry3[Num_, data_] :=
> > Module[{UU, M, \[Lambda], \[Mu], \[CapitalDelta]T, s, m, \[Sigma],
> > mean, var, rmean, rvar, rkl, rku, dr, ddist, rvals, pvals, amin,
> > amax, da, tlist, JN, some, blist, tlist1, tlist2, sol1, sol2,
> > templist, l, points, pu, pl, dp, a, b, c, zi, Nm, Nz, Na, zW,
> > m1, \[Sigma]1, m2, \[Sigma]2, \[Rho], mean1, var1, rmean1, rvar1,
> > mean2, var2, rmean2, rvar2, b1, b2, dl, dk, xvals, yvals, rk1l,
> > rk1u, rk2l, rk2u, \[ScriptCapitalD]1, dist, \[ScriptCapitalD],
> > prob, JJ},
> >
> > Off[InterpolatingFunction::dmval];
> > sll[ll_, elem_] := ll[[Ordering[ll[[All, elem]]]]];
> > M = 0.5;
> > \[Lambda] = 0.05;
> > \[Mu] = 0.05;
> > \[CapitalDelta]T = T/nn;
> > s = E^(0.05*\[CapitalDelta]T);
> > m1 = 0.08;
> > \[Sigma]1 = 0.2;
> > m2 = 0.14;
> > \[Sigma]2 = 0.8;
> > \[Rho] = 0.1;
> > UU = 7;
> > mean1 = (m1 - (\[Sigma]1^2)/2)*\[CapitalDelta]T;
> > var1 = (\[Sigma]1^2)*\[CapitalDelta]T;
> > rmean1 = E^(mean1 + 1/2 var1);
> > rvar1 = ((E^var1 - 1) E^(2*mean1 + var1));
> > mean2 = (m2 - (\[Sigma]2^2)/2)*\[CapitalDelta]T;
> > var2 = (\[Sigma]2^2)*\[CapitalDelta]T;
> > rmean2 = E^(mean2 + 1/2 var2);
> > rvar2 = ((E^var2 - 1) E^(2*mean2 + var2));
> > b1 = {rk1l = 0.001, rk1u = (rmean1 + 5*Sqrt[rvar1])};
> > b2 = {rk2l = 0.001, rk2u = (rmean2 + 5*Sqrt[rvar2])};
> >
> > dl = (rk1u - rk1l)/Num;
> > dk = (rk2u - rk2l)/Num;
> > \[ScriptCapitalD] =
> > TransformedDistribution[
> > Exp[ {u, v}], {u, v} \[Distributed]
> > MultinormalDistribution[{(m1 - (\[Sigma]1^2)/
> > 2)*\[CapitalDelta]T, (m2 - (\[Sigma]2^2)/
> > 2)*\[CapitalDelta]T}, {{\[Sigma]1^2*\[CapitalDelta]T, \
> > \[Rho]*\[Sigma]1*\[Sigma]2*\[CapitalDelta]T}, {\[Rho]*\[Sigma]1*\
> > \[Sigma]2*\[CapitalDelta]T, \[Sigma]2^2*\[CapitalDelta]T}}]];
> >
> > \[ScriptCapitalD]1 = SmoothKernelDistribution[data];
> >
> > g[x_, y_] := Evaluate[CDF[\[ScriptCapitalD]1, {x, y}]];
> >
> >
> > fx1[r_] := PDF[LogNormalDistribution[mean1, Sqrt[var1]], r];
> > fx2[r_] := CDF[LogNormalDistribution[mean1, Sqrt[var1]], r];
> > pu = 1;
> > pl = 0;
> > dp = (pu - pl)/Num;
> > gx1[p_] := InverseCDF[LogNormalDistribution[mean1, Sqrt[var1]], p];
> > xvals =
> > Flatten[{rk1l, Table[gx1[i + dp], {i, pl, pu - 2*dp, dp}], rk1u}];
> >
> > fy1[r_] := PDF[LogNormalDistribution[mean2, Sqrt[var2]], r];
> > fy2[r_] := CDF[LogNormalDistribution[mean2, Sqrt[var2]], r];
> > pu = 1;
> > pl = 0;
> > dp = (pu - pl)/Num;
> > gy1[p_] := InverseCDF[LogNormalDistribution[mean2, Sqrt[var2]], p];
> > yvals =
> > Flatten[{rk2l, Table[gy1[i + dp], {i, pl, pu - 2*dp, dp}], rk2u}];
> >
> >
> >
> >
> > f[x_, y_] := Evaluate[PDF[\[ScriptCapitalD]1, {x, y}]];
> >
> > dist =
> > Flatten[Table[{prob = (NIntegrate[
> >
> > f[x, y], {x, xvals[[i]], xvals[[i + 1]]}, {y, yvals[[j]],
> > yvals[[j + 1]]}, AccuracyGoal -> 4]); {NIntegrate[
> > x*(f[x, y])/prob
> > , {x, xvals[[i]], xvals[[i + 1]]}, {y, yvals[[j]],
> > yvals[[j + 1]]}, AccuracyGoal -> 4],
> > NIntegrate[
> > y*(f[x, y])/(prob), {x, xvals[[i]], xvals[[i + 1]]}, {y,
> > yvals[[j]], yvals[[j + 1]]}, AccuracyGoal -> 4]},
> >
> > prob}, {i, 1, Num}, {j, 1, Num}], 1];
> >
> >
> > amin = N[0.001];
> > amax = N[0.999];
> > da = 0.01;
> >
> > (*dist/.{{x_Real,y_Real},z_Real}->x+y+z*)
> > tlist1 = Parallelize[ParallelEvaluate[
> > Off[FindMinimum::reged]];
> > ParallelEvaluate[Off[FindMaximum::lstol]]; Table[{a,
> > {l =
> > Max[templist = {(sol1 = Flatten[Last[NestList[{{#[[1, 1]]/2},
> >
> > Reverse[
> > Last[sll[
> > Flatten[
> > Table[{{\[Xi]}, (Total[(dist /. {{r_Real, S_Real},
> > p_Real} -> (Log[(S + \[Xi] (r -
> > S) + \[Mu] (\[Xi] - a) S)]*p))])}, {\[Xi],
> > If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
> > 0, (#[[2, 2, 1]] - 2*#[[1, 1]]), 0],
> > If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <=
> > a, (#[[2, 2, 1]] + 2*#[[1, 1]]), a], #[[1, 1]]}],
> > 0], 2]]]} & ,
> > {{a/4}, {-100, {a/2}}}, UU]][[2]]])[[1]], (sol2 =
> > Flatten[Last[NestList[{{#[[1, 1]]/2},
> >
> > Reverse[
> > Last[sll[
> > Flatten[
> > Table[{{\[Xi]}, (Total[
> > dist /. {{r_Real, S_Real},
> > p_Real} -> (Log[(S + \[Xi] (r -
> > S) - \[Lambda] (\[Xi] - a) S)]*p)])}, {\[Xi],
> > If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
> > a, (#[[2, 2, 1]] - 2*#[[1, 1]]), a],
> > If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <= (
> > 1 + a*\[Lambda])/(
> > 1 + \[Lambda]), (#[[2, 2, 1]] + 2*#[[1, 1]]), (
> > 1 + a*\[Lambda])/(1 + \[Lambda])], #[[1, 1]]}],
> > 0], 2]]]} & ,
> > {{0.25*((1 + a*\[Lambda])/(1 + \[Lambda]) -
> > a)}, {-100, {0.5*(a + (1 + a*\[Lambda])/(
> > 1 + \[Lambda]))}}}, UU]][[2]]])[[1]],
> > Total[dist /. {{r_Real, S_Real}, p_Real} ->
> > Log[(S + a (r - S))]*p]}],
> > If[templist[[3]] == l, 3,
> > Flatten[Position[templist, l]][[1]]],
> > Piecewise[{{0, templist[[3]] == l}, {sol1[[2]],
> > templist[[1]] == l}, {sol2[[2]],
> > templist[[2]] == l}}]}}, {a, amin, amax, da}]];
> > (*points=Select[tlist,#[[2,2]]==3&]/.{a_,{J_,
> > I_,\[CapitalDelta]_}}->a
> > Graphics[Point[points],Axes->True]*)
> > (*points=Select[Flatten[templist/.{{x_,y_},{z_,w_}}->{{x,y},{w}},
> > 1],#[[2]][[1]]==3&]/.{{x_,y_},{w_}}->{x,y};*)
> > (*points=Select[tlist,#[[2,2]]==3&]/.{x_,{z_,w_}}->x;
> > points*)
> > JN = Interpolation[tlist1 /. {x_, {z_, w_, y_}} -> {x, z}];
> > (*PN=Interpolation[tlist/.{x_,{z_,w_,y_}}->{x,y}];*)
> > (*Off[InterpolatingFunction::dmval];*)
> > (*Plot[JN[x],{x,0,1}]*)
> > some = NestList[(JJ = #[[2]]; {tlist = Parallelize[ParallelEvaluate[
> > Off[FindMinimum::reged]];
> > ParallelEvaluate[Off[FindMaximum::lstol]];
> > ParallelEvaluate[Off[InterpolatingFunction::dmval]];
> > Table[(*nlist=(#[[1]]/.{x_,{z_,w_,y_}}->y);*){a,
> > {l =
> > Max[templist = {(sol1 =
> > Flatten[Last[NestList[{{#[[1, 1]]/2},
> >
> > Reverse[
> > Last[sll[
> > Flatten[
> > Table[{{\[Xi]}, (Total[
> > dist /. {{r_Real, S_Real},
> > p_Real} -> (((Log[(S + \[Xi] (r -
> > S) + \[Mu] (\[Xi] - a) S)] +
> > JJ[(\[Xi]*
> > r)/(S + \[Xi] (r - S) + \[Mu] (\[Xi] - a) S)])*
> > p))])}, {\[Xi],
> > If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
> > 0, (#[[2, 2, 1]] - 2*#[[1, 1]]), 0],
> > If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <=
> > a, (#[[2, 2, 1]] + 2*#[[1, 1]]), a], #[[1, 1]]}],
> > 0], 2]]]} & ,
> > {{a/4}, {-100, {a/2}}}, UU]][[2]]])[[1]], (sol2 =
> > Flatten[Last[NestList[{{#[[1, 1]]/2},
> >
> > Reverse[
> > Last[sll[
> > Flatten[
> > Table[{{\[Xi]}, (Total[
> > dist /. {{r_Real, S_Real},
> > p_Real} -> ((Log[(S + \[Xi] (r -
> > S) - \[Lambda] (\[Xi] - a) S)] +
> > JJ[(\[Xi]*
> > r)/(S + \[Xi] (r - S) - \[Lambda] (\[Xi] -
> > a) S)])*p)])}, {\[Xi],
> > If[(#[[2, 2, 1]] - 2*#[[1, 1]]) >=
> > a, (#[[2, 2, 1]] - 2*#[[1, 1]]), a],
> > If[(#[[2, 2, 1]] + 2*#[[1, 1]]) <= (
> > 1 + a*\[Lambda])/(
> > 1 + \[Lambda]), (#[[2, 2, 1]] + 2*#[[1, 1]]), (
> > 1 + a*\[Lambda])/(1 + \[Lambda])], #[[1, 1]]}],
> > 0], 2]]]} & ,
> > {{0.25*((1 + a*\[Lambda])/(1 + \[Lambda]) -
> > a)}, {-100, {0.5*(a + (1 + a*\[Lambda])/(
> > 1 + \[Lambda]))}}}, UU]][[2]]])[[1]],
> >
> > Total[dist /. {{r_Real, S_Real},
> > p_Real} -> (Log[(S + a (r - S))] +
> > JJ[(a*r)/(a*r + (1 - a) S)])*p]}],
> > If[templist[[3]] == l, 3,
> > Flatten[Position[templist, l]][[1]]],
> > Piecewise[{{0, templist[[3]] == l}, {sol1[[2]],
> > templist[[1]] == l}, {sol2[[2]],
> > templist[[2]] == l}}]}}, {a, amin, amax, da}]],
> > Interpolation[
> > tlist /. {x_, {z_, w_, y_}} -> {x, z}]}) &, {tlist1, JN},
> > nn - 1]];
> > stuff = Table[{1/NN, bndry3[NN, data]}, {NN, 4, 7}];
> > listn[a_] := {#[[1]], #[[2]][[4, 2]][a]} & /@ stuff;
> > a = 0.5;
> > g1 = ListPlot[listn[a], PlotStyle -> {Red, PointSize[Large]}]
> >
> ________________________________________________________________________________
> > <
> http://t2.gstatic.com/images?q=tbn:ANd9GcRd4WJa3qO12skxxSAppQ9HimoQsMP5o--uCIe7yxZahJqlkN4z
> >
> > "We have not succeeded in answering all our problems.The answers we have
> > found only serve to raise a whole set of new questions.In some ways we
> feel
> > that we are as confused as ever,but we believe we are confused on a
> higher
> > level and about more important things!! Haha"
> > "One day we definitely get to see all the beauty present in this world
> > !!!"
> > "Life can only be understood going backwards but it must be lived going
> > forwards!"
> >
> ________________________________________________________________________________
> > THIS MESSAGE IS ONLY INTENDED FOR THE USE OF THE INTENDED
> > RECIPIENT(S) AND MAY CONTAIN INFORMATION THAT IS PRIVILEGED,
> > PROPRIETARY AND/OR CONFIDENTIAL. If you are not the intended
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> > please notify me by return e-mail and delete this message from your
> > system. Nabeel Butt Inc.
> >
> >
> >
> >
> >
> > Nabeel Butt
> > UWO,London
> > Ontario, Canada
>
- References:
- Mathematica results different on different computers !
- From: Nabeel Butt <nabeel.butt@gmail.com>
- Mathematica results different on different computers !