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Question 4 ) f ( x , y , z ) = x 3 + y z 2 , x = u 2 + v

Question 4)f(x,y,z)=x3+yz2,x=u2+v,y=u+v2,z=3uv with (w,v)=(-2,2)
delfdelu=3x2*2u+z2*1+2yz*3v
3(u2+v)2*2u+(3uv)2+2(u+v2)(3uv)*3(v)
delfdelv=3x2*1+z2*2v+2yz*3u
3(u2+v)2+(3uv)2*2v+2(u+v2)(3uv)*3(u)
Is a graph a tree?
A tree is a graph (V,E) with two special properties:
Every vertex has at most one incoming edge.
Either there are no vertices, or there is a vertex with no incoming edges, called the root, from which all other vertices are reachable.
If the second property does not hold, incidentally, the graph is called a forest.
Write an is_tree property that has value True if the graph is a tree, and has value False otherwise.[29] # Tests 10 points: is_tree
Is a graph a tree?
A tree is a graph (V,E) with two special properties:
Every vertex has at most one incoming edge.
Either there are no vertices, or there is a vertex with no incoming edges, called the root, from which all other vertices are reachable.
If the second property does not hold, incidentally, the graph is called a forest.
Write an is_tree property that has value True if the graph is a tree, and has value False otherwise.[29] # Tests 10 points: is_tree
[1] class Graph(object):[2] g= Graph(vertices={'a','b','c','d','e','f','g'}, edges={('a','b'),('a','c'),('a','d'),('b','d'),
('c','a'),('c','e'),('d','b'),('d','c'),
('f','g'),('g','f')
Great, but, how do we display graphs? And what can we do with them?
Let's first of all add a method .show() that will enable us to look at a graph; this uses the library networkx.
os
[3] import networkx as nx # Library for displaying graphs.
class Graph(object):
[1] class Graph(object):[2] g= Graph(vertices={'a','b','c','d','e','f','g'}, edges={('a','b'),('a','c'),('a','d'),('b','d'),
('c','a'),('c','e'),('d','b'),('d','c'),
('f','g'),('g','f')
Great, but, how do we display graphs? And what can we do with them?
Let's first of all add a method .show() that will enable us to look at a graph; this uses the library networkx.
os
[3] import networkx as nx # Library for displaying graphs.
class Graph(object):
Exercise: Complete the following implementation, in which an averagerator is used in order to replace values that are more than num_stds away from the average, with the average itself.
The CleanData class is initialized by passing a discount factor for its averagerator.
Every piece x of data is then filtered via a call to filter(x, num_stdevs) ; this call returns:
x if the value of x is closer than num_stdevs standard deviations from the running average,
the running average if the value of x differs from the running average by more than num_stdevs standard deviations.
Exercise: Implement the CleanData class
#@title Exercise: Implement the class
class CleanData(object):
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