How can i find k-best solutions? - optimization

I'm using Microsoft solver, and have wanted to ask how can i find
K-best solutions using LP and not just the optimal one?
I know that CPLEX has solution pool feature for
example.
Thank you for the help.
Paul.

There is a nice blog post by Paul Rubin about finding k best solutions.

Related

How Pao solve bilevel model?

I am new to Pao.
I am just wondering if anyone can tell me how Pao solves a bi-level problem. Does it transfer to a single-level problem? If it is what kind of algorithm, is KKT? I just need simple answers for the project that I have to finish very soon, unfortunately.
Any help will be appreciated.
Thanks,
Reading some documents and research papers. Try some Github codes. However, I am confused and couldn't have any comprehensive results.

Pyomo Stochastic Optimization for Vehicle Routing Problem

I'm trying to use the framework Pyomo in order to solve an VRP with stochastic demands. I was wondering if there is some simple examples of VRP in order to get a start point to solve it.
Any help is welcomed!
Thanks a lot in advance!
Though my answer is late, it's better late than none.
Please visit my github page link! and download the example you want.
It's similar to the ReferenceModel.py link sent earlier but that was written seven years ago and there has not been a modification to it. So I have modified it to run with the current version of pyomo.
Hope you will find it helpful

Are there any more example regard how to use Updates?

I have been trying to improve my application by incorporating updates. However, the current documentation is very confusing on for example how updates would be structure for a chat or a channel.
Any advice on this topic would be much appreciated. Thank you in advance!
Things have changed a lot, but the official Telethon documentation probably explains them good enough now.
You can also view single-file Telethon examples or real world Telethon projects. Maybe I'm a bit late for the answer but hopefully helps other people :)

Difference between Merkle–Damgård and sponge-function used in KECCAK

Hello to the nice Stackoverflow community!
I have difficulties understanding the difference between the Merkle–Damgård construction and the sponge-function used in KECCAK.
The Merkle–Damgård Construction takes in the message-blocks iteratively, but as of what I've found in descriptions, doesn't a sponge function do the same? Illustrations of both look quite similar and I just don't find an explanation I really understand.
Can someone explain the difference somewhat easier?
So I expanded my search for sources using youtube videos. If someone has the same question, I think it is very well explained in this Video:
https://www.youtube.com/watch?v=IUI5C9stAEM
The explanation starts at minute 18. Hope this helps someone.
Have a nice day!

strstr() vs Knuth Morris Pratt

Can someone please help me understanding which one is more efficient strstr() or KMP as recently I was doing a question on SPOJ and found that strstr() was in one way or other faster than KMP..
someone please explain the mystery behind this..
You are comparing apples with pears, strstr() is a function to find substrings, KMP is an algorithm to do it, so strstr() could theoretically be implemented using KMP. You need to find out which algorithm is the strstr() in question implementing to give a statement.
Take a look at this answer and the comments on it.