{VERSION 2 3 "APPLE_68K_MAC" "2.3" } {USTYLETAB {CSTYLE "Maple Input" -1 0 "Courier" 0 1 255 0 0 1 0 1 0 0 1 0 0 0 0 }{CSTYLE "" -1 256 "" 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 } {PSTYLE "Normal" -1 0 1 {CSTYLE "" -1 -1 "" 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 }0 0 0 -1 -1 -1 0 0 0 0 0 0 -1 0 }{PSTYLE "" 0 256 1 {CSTYLE "" -1 -1 "" 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 }3 0 0 -1 -1 -1 0 0 0 0 0 0 -1 0 }} {SECT 0 {EXCHG {PARA 256 "" 0 "" {TEXT -1 58 "Sequences -- Logistic Mo dels -- Stretch Your Understanding" }}{PARA 0 "" 0 "" {TEXT -1 0 "" }} {PARA 0 "" 0 "" {TEXT -1 104 "The cell below gives one example of a mo re realistic model based on the same ideas as logistic models. " } {TEXT 256 69 "Evaluate it now and then use it as the basis for further experiments." }}{PARA 0 "" 0 "" {TEXT -1 0 "" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 361 "a := 2.00:\n\nR := proc(p)\n if p < 500 the n a else a - a * (p - 500)/1500 fi\n end:\n\nf := p -> R(p) * p:\n \npop := proc(n)\n if n = 1 then 50 else f(pop(n - 1)) fi\n \+ end:\n\nfor k from 1 to 20 \n do printf(`%4d %10.4f`, k, pop(k) );\n print();\n od;\n\nplot([seq([n, pop(n)], n = 1 .. 20)], \n year = 1 .. 20, title = `Population`);\n\n\n" }}}}{MARK "0 \+ 0 0" 58 }{VIEWOPTS 1 1 0 1 1 1803 }