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> |
Revision as of 09:41, 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