Re: Dynamic programming and Manipulate
- To: mathgroup at smc.vnet.net
- Subject: [mg111464] Re: Dynamic programming and Manipulate
- From: Alice Lesser <alice.lesser at bwin.org>
- Date: Mon, 2 Aug 2010 07:05:32 -0400 (EDT)
-----Original Message----- From: Daniel Lichtblau [mailto:danl at wolfram.com] Sent: den 29 juli 2010 18:16 To: Alice Lesser Subject: [mg111464] Re: [mg111361] Dynamic programming and Manipulate Alice Lesser wrote: > Hi group, > > I'm attempting to model a 3-dimensional recurrence relation with two vari= able parameters a and b as follows: > > discretemodel[a0_, b0_] :== Module[{a == a0, b == b0}, > prob[1, 1, 1] == 1.0; > prob[1, x_, y_] == 0; > prob[t_, 0, y_] == 0; > prob[t_, x_, 0] == 0; > prob[t_, x_, y_] :== prob[t - 1, x - 1, y]*a + prob[t - 1, x, y - 1]*b = +== > prob[t - 1, x, y]*(1 - a - b); > probabilities == Table[prob[t, x, y], {t, 1, 5}, {x, 1, 5}, {y, 1, 5}]; > (* some further manipulations of these t matrices of probabilities to be = inserted here later *) > Grid[probabilities[[5]]] > ] > Manipulate[discretemodel[avalue, bvalue], > {{avalue, 0.2}, 0, 1, 0.1}, > {{bvalue, 0.1}, 0, 1, 0.1}] > > This works fine for these small values of t,x and y, but aborts for large= r values such as {t,1,20}. Surely a 20 x 5 x 5 matrix is not too large for = Mathematica to handle? > > If I instead use the standard dynamic programming approach, so that line = 6 above becomes > prob[t_, x_, y_] :== prob[t,x,y] == prob[t - 1, x - 1, y]*a + prob[t - = 1, x, y - 1]*b + prob[t - 1, x, y]*(1 - a - b); > > then the calculation works fine for large values of t, but I lose the Man= ipulate functionality (logically enough I suppose, since values of prob bec= ome fixed). > Is there a way to get around this problem? > > I'm new to Mathematica after many years with another system, and it may > very well be the case that I'm not setting this model up right to begin w= ith, any comm ents on possible better ways to do this would be much appreci= ated! > > Many thanks! > Alice Use dynamic programming inside your Module. discretemodel[a_, b_] :== Module[ {prob,probabilities}, prob[1, 1, 1] == 1.0; prob[1, x_, y_] == 0; prob[t_, 0, y_] == 0; prob[t_, x_, 0] == 0; prob[t_, x_, y_] :== prob[t, x, y] == prob[t - 1, x - 1, y]*a + prob[t - 1, x, y - 1]*b + prob[t - 1, x, y]*(1 - a - b); probabilities == Table[prob[t, x, y], {t, 1, 10}, {x, 1, 5}, {y, 1, 5}]; Clear[prob]; probabilities[[5]]] I'm not certain the Clear[prob] is needed (most likely not), but I put it there just in case. Daniel Lichtblau Wolfram Research ---------------------- This worked perfectly, many thanks again Daniel! Reposting to group in case= anyone else has similar trouble. Cheers, Alice