Difference between revisions of "CompSciHW6"
From Predictive Chemistry
(Created page with "Homework 6 - Due Friday, March 18 <pre> 1) Create a function that parses the following files: a) mat33 = """ 1.0 2.0 3.0 -2.0 0.0 1.0 1.0 1.1 1.2 """ b) csv = """ # time te...") |
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| − | Homework 6 - Due Friday, March |
+ | Homework 6 - Due Friday, March 25 |
<pre> |
<pre> |
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1) Create a function that parses the following files: |
1) Create a function that parses the following files: |
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-2.0 0.0 1.0 |
-2.0 0.0 1.0 |
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1.0 1.1 1.2 |
1.0 1.1 1.2 |
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| − | """ |
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| + | """ # output a matrix |
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b) csv = """ |
b) csv = """ |
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3.0, 299.8, 44.2 |
3.0, 299.8, 44.2 |
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4.5, 301.0, 43.9 |
4.5, 301.0, 43.9 |
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| − | """ |
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| + | """ # output a list of strings and a matrix |
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c) name_val = """ |
c) name_val = """ |
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trials = 10 |
trials = 10 |
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tolerance = 1e-8 |
tolerance = 1e-8 |
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| − | """ |
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| + | """ # output a dictionary |
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d) group_data = """ |
d) group_data = """ |
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[Group 3] |
[Group 3] |
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7 8 9 10 11 |
7 8 9 10 11 |
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| − | """ |
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| + | """ # output a dictionary of [int] |
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| − | 2) Write code to carry out matrix multiplication manually |
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| + | 2) Complete this function by adding a for loop to fill each |
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| − | and test it against the result of numpy.dot. |
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| + | element of a vector with a function (g(i)): |
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| + | from numpy import * |
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| + | def vec_from_func(n, g): # int -> (int -> float) -> array |
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| + | x = zeros(n, float) |
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| + | for ... |
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| + | return x |
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| + | g_arr = |
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| − | 3) Write code to multiply every column of matrix, A, |
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| + | 3) Complete this function by adding a nested for-loop to fill |
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| − | with every other column. Use this to find the set of angles |
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| + | each element of a matrix with a function, u(i,j): |
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| − | between the column vectors. |
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| + | from numpy import * |
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| + | def mat_from_func(n,m, g): # int -> int -> (int -> int -> float) -> array |
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| + | M = zeros((n,m), float) |
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| + | for ... |
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| + | for ... |
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| + | return M |
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</pre> |
</pre> |
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Revision as of 10:41, 21 March 2016
Homework 6 - Due Friday, March 25
1) Create a function that parses the following files:
a) mat33 = """
1.0 2.0 3.0
-2.0 0.0 1.0
1.0 1.1 1.2
""" # output a matrix
b) csv = """
# time temperature sea_level
0.0, 300.0, 44.5
1.5, 299.5, 44.0
3.0, 299.8, 44.2
4.5, 301.0, 43.9
""" # output a list of strings and a matrix
c) name_val = """
seed = 1553
name = "test name"
trials = 10
tolerance = 1e-8
""" # output a dictionary
d) group_data = """
[Group 1]
1 2 3 4 5 6
[Group 2]
4 5 11 14 1
[Group 3]
7 8 9 10 11
""" # output a dictionary of [int]
2) Complete this function by adding a for loop to fill each
element of a vector with a function (g(i)):
from numpy import *
def vec_from_func(n, g): # int -> (int -> float) -> array
x = zeros(n, float)
for ...
return x
g_arr =
3) Complete this function by adding a nested for-loop to fill
each element of a matrix with a function, u(i,j):
from numpy import *
def mat_from_func(n,m, g): # int -> int -> (int -> int -> float) -> array
M = zeros((n,m), float)
for ...
for ...
return M
