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##### Group 2 Lab 3 Grade: 20/20. Good job! #Exercise 1 g(x)=19*(x^3) g(0) g(10) g(-4)
0 19000 -1216
#Exercise 2 g(x)=43*(x^100) g(0) g(10) g(-4)
0 430000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 69098335903136581848304369970669991908454728732660091917959168
#Exercise 3 srange(1,101)
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]
#Exercise 4 srange(0,51,2)
[0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50]
#Exercise 5 nums = srange(1,11) for n in nums: n
1 2 3 4 5 6 7 8 9 10
#Exercise 6 num = srange(10.0,50,10) for n in num: sqrt(n)
3.16227766016838 4.47213595499958 5.47722557505166 6.32455532033676
#Exercise 7 mult3 = [] nums = srange (1,6) for n in nums: mult3.append(3*n) mult3 #This made it so we can make a list of the first five multiples of 3
[3, 6, 9, 12, 15]
#Exercise 8 mult4 = [] nums = srange (1,11) for n in nums: mult4.append(4*n) mult4 #This made it so we can make a list of the first ten multiples of 4
[4, 8, 12, 16, 20, 24, 28, 32, 36, 40]
#Exercise 9 exer7 = [] nums = srange (1,11) for n in nums: exer7.append(g(n))
exer7
[43, 54508975809813864264358237831168, 22161233391476487234567828579921714726190623446043, 69098335903136581848304369970669991908454728732660091917959168, 339210189245035076327043283071598078759478767096879892051219940185546875, 28092700810503048962157681487796486283097179550337059476352094553888377083527168, 139082489913864593627819854071309322866859737552898892240157499249842732764387906580043, 87592546982382901709543164601603260925213140927635258777354039322238395889823478365886087168, 11421401521662615081567596847538523953657038464095963326906723354780977108755993868758542058892043, 430000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000]
#Exercise 10 list_plot(exer7, axes_labels=["numbers", "blah"], plotjoined=True, color= 'red')
#Exercise 11 f(x) = 2*x count = srange(0,10) val=3 for i in count: a = f(val) val=a val #Exercise 12 #It is necessary becuase we need to plug val into f and have that result display after typing in val.
3072
#Exercise 13 f(x) = 2*x count = srange(3,20) val=3 for i in count: a = f(val) val=a val
393216
#Exercise 14 f(x) = 2*x count = srange(5,20) val=3 for i in count: a = f(val) val=a val
98304
#Exercise 15 g(x) = 3*x count = srange(2,5) val=3 for i in count: a = f(val) val=a val
24
#Exercise 16 f(x) = 2*x count = srange(0,10) val=3 for i in count: val = f(val) val ##### Good. -HK
3072
#Exercise 17: exsamples 3 and 4 are similar becuase we are defining a fuction we want to iterate and then we create a list of numbers telling the amount of times we iterate. Then the diffrence is that in exsample 4 we are making a=vals[i] and then we are making the output b and placing b into the list of the results. Exsample 4 is also appending it and exsample 3 is not. This is also creating a list plot from it . Where as in exsample 3 there is no list plot and we are just going from a to f(val) from val to equal a.
#Exercise 18- Iterate 3x five times with 2 as the initial value, keeping all the intermediate values. f(x) = 3*x count = srange(0,5) vals = [2] for i in count: a = vals[i] b = f(a) vals.append(b) list_plot(vals)
#Exercise 19.- Iterate cosx 10 times with 0.5 as the initial value and plot the result. Does the same thing happen for other initial values? f(x) = cos(x) count = srange (0, 10) vals = [.5] for i in count: a = vals[i] b = f(a) vals.append(b) list_plot(vals) ##### Good. -HK
#Exercise 20- Iterate 2.5 cosx 10 times with 0.5 as the initial value and plotthe result. (You may want to use the plotting optionplotjoined=Trueto seethe behavior better.) Try several initial values. Do they act similarly? You willstudy this kind of unpredictable behavior, which is called chaos, later in LS 30. f(x) = 2.5*cos(x) count = srange (0, 10) vals = [.5] for i in count: a = vals[i] b = f(a) vals.append(b) list_plot(vals) f(x) = 2.5*cos(x) count = srange (0, 10) vals = [2] for i in count: a = vals[i] b = f(a) vals.append(b) list_plot(vals) #It has the same behavior with going up and down although depending on the starting value it is more spread out.
#Exercise 21- f(x) = 2*x #Define the function we want to iterate #Create list of numbers defining how many times to iterate count = srange(0,10) #Create a list to hold the results. The first value is 3. vals = [3] for i in count: a = vals[i] #Grab the last item in the results list # Plug a into the function. Put the output in b. vals.append(f(a)) # Put b into the list of results. list_plot(vals) #Displays the plot
#Exercise 22- f(x) = 2*x #Define the function we want to iterate #Create list of numbers defining how many times to iterate count = srange(0,10) #Create a list to hold the results. The first value is 3. vals = [3] for i in count: #Grab the last item in the results list # Plug a into the function. Put the output in b. vals.append(f(vals[i])) # Put b into the list of results. list_plot(vals) #Displays the plot
#Exercise 23: #I can make the program 6 lines long. This was possible by making the input ugly rather then making it equal to a variable like x. by making it equal to a variable you can make it as f(x)rather then f(vals[i]). #Exercise 24: def iterate(): f(x) = 2*x count = srange(0,10) for i in count: a = vals[i] b = f(a) vals.append(b) return vals
#25 def function(number_times): f(x) = 2*x count = srange(0,number_times) vals = [3] for i in count: a = vals[i] b = f(a) vals.append(b) return vals function(5) ##### Good. -HK #26 def function1(start_value): f(x) = 2*x count = srange(0,start_value) vals = [3] for i in count: a = vals[i] b = f(a) vals.append(b) return vals function(4) #27 def descriptive_name(fcn,number_of_times,starting_value): count = srange(0,number_of_times) vals=[starting_value] for i in count: a = vals[i] b = fcn(a) vals.append(b) return vals f(x) = 2*x descriptive_name(f,10,3) g(x) = x^2 descriptive_name(g,5,2)
[3, 6, 12, 24, 48, 96] [3, 6, 12, 24, 48] [3, 6, 12, 24, 48, 96, 192, 384, 768, 1536, 3072] [2, 4, 16, 256, 65536, 4294967296]