Reputation: 151
I'm trying to implement an algorithm from Algorithmic Toolbox course on Coursera that takes an arithmetic expression such as 5+8*4-2 and computes its largest possible value. However, I don't really understand the choice of indices in the last part of the shown algorithm; my implementation fails to compute values using the ones initialized in 2 tables (which are used to store maximized and minimized values of subexpressions).
The evalt function just takes the char, turns it into the operand and computes a product of two digits:
def evalt(a, b, op):
if op == '+':
return a + b
#and so on
MinMax computes the minimum and the maximum values of subexpressions
def MinMax(i, j, op, m, M):
mmin = 10000
mmax = -10000
for k in range(i, j-1):
a = evalt(M[i][k], M[k+1][j], op[k])
b = evalt(M[i][k], m[k+1][j], op[k])
c = evalt(m[i][k], M[k+1][j], op[k])
d = evalt(m[i][k], m[k+1][j], op[k])
mmin = min(mmin, a, b, c, d)
mmax = max(mmax, a, b, c, d)
return(mmin, mmax)
And this is the body of the main function
def get_maximum_value(dataset):
op = dataset[1:len(dataset):2]
d = dataset[0:len(dataset)+1:2]
n = len(d)
#iniitializing matrices/tables
m = [[0 for i in range(n)] for j in range(n)] #minimized values
M = [[0 for i in range(n)] for j in range(n)] #maximized values
for i in range(n):
m[i][i] = int(d[i]) #so that the tables will look like
M[i][i] = int(d[i]) #[[i, 0, 0...], [0, i, 0...], [0, 0, i,...]]
for s in range(n): #here's where I get confused
for i in range(n-s):
j = i + s
m[i][j], M[i][j] = MinMax(i,j,op,m,M)
return M[0][n-1]
Upvotes: 5
Views: 8669
Reputation: 1
The following change should work.
for s in range(1,n):
for i in range(0,n-s):
Upvotes: 0
Reputation: 151
Sorry to bother, here's what had to be improved:
for s in range(1,n)
in the main function, and
for k in range(i, j):
in MinMax function. Now it works.
Upvotes: 4