Algorithm that is a combination of the continuous knapsack problem and the variable size bin packing problem
By : Justin
Date : March 29 2020, 07:55 AM
it should still fix some issue In theory this could be framed as an optimization problem: Basically we're going to establish a set of constraints that enumerate the structure of your problem, seed the initial values, and make sure that we allocate all the money as you've indicated. code :
A_paid = 100
B_paid = 200
C_paid = 50
D_out = 24
E_out = 175
F_out = 151
D_out >= D_to_A + D_to_B + D_to_C
E_out >= E_to_A + E_to_B + E_to_C
F_out >= F_to_A + F_to_B + F_to_C
A_paid = D_to_A + E_to_A + F_to_A
B_paid = D_to_B + E_to_B + F_to_B
C_paid = D_to_C + E_to_C + F_to_C
min: D_to_A + D_to_B + D_to_C + ...

stadium problem: Provide algorithm to solve the problem
By : user2879994
Date : March 29 2020, 07:55 AM
may help you . Assuming everyone can talk to his/her neighbor (possibly over many empty seats) and that fans of team A are willing to speak to fans of team B, the following could work: Everyone grabs his/her nearest neighbor, who is not already grabbed by someone else, to form groups of at most two people. Now everyone remembers the size of the group they are in (can be 1 or 2). Now a leader of each group is chosen in a way that he is able to communicate to a member of another group. The leaders of each group try to join their group with one other and each member of the two (now joined) groups remembers the sum of the members of each group (this can be done by broadcasting the new value to be added to the group). This process continues until there is only one group left. Upon termination of this process everyone knows the number of people in the stadium.

Problem in creating leapfrog algorithm for 3body problem using Python
By : user2002192
Date : March 29 2020, 07:55 AM
Hope that helps welcome to stack overflow! First of all, the bug is a classic python issue: a part of your code is indented incorrectly. Specifically: code :
for i in range(N):
for j in range(i+1, N):
rji = []
for k in range(3):
rji.append(r[j][k]  r[i][k])
r2 = 0
for k in range(3):
r2 += rji[k]**2
r3 = r2 * np.sqrt(r2)
for k in range(3):
a[i][k] += m * rji[k] / r3
a[j][k] = m * rji[k] / r3
for i in range(N):
for j in range(i+1, N):
rji = []
for k in range(3):
rji.append(r[j][k]  r[i][k])
r2 = 0
for k in range(3):
r2 += rji[k]**2
r3 = r2 * np.sqrt(r2)
for k in range(3):
a[i][k] += m * rji[k] / r3
a[j][k] = m * rji[k] / r3

How to make the chatbot redirect a unknown answer to my email so I can manually answer the problem?
By : Kailee Kerr
Date : March 29 2020, 07:55 AM
hop of those help? I am assuming you will have different intents for your FAQ system, so that if user asks a question it will be matched to specific intent and bot will send a response according to that matched intent. Now if none of the intents matched, it will go to Default Fallback Intent where you ca enable the webhook. In the webhook, you can write a function to send email yourself with the user query and other user details so that you can check and reply to the user.

What is the proper problem name / algorithm for this problem description in computer science theory?
By : Mary Marlane
Date : March 29 2020, 07:55 AM
it fixes the issue Sounds like multipleknapsack to me. From Wikipedia:

