Wednesday, December 19, 2018

Digest for comp.programming.threads@googlegroups.com - 8 updates in 5 topics

Elephant Man <conanospamic@gmail.com>: Dec 18 08:31PM

Article d'annulation émis par un modérateur JNTP via Nemo.
Elephant Man <conanospamic@gmail.com>: Dec 19 08:46AM

Article d'annulation émis par un modérateur JNTP via Nemo.
Elephant Man <conanospamic@gmail.com>: Dec 19 08:46AM

Article d'annulation émis par un modérateur JNTP via Nemo.
Elephant Man <conanospamic@gmail.com>: Dec 19 08:46AM

Article d'annulation émis par un modérateur JNTP via Nemo.
Horizon68 <horizon@horizon.com>: Dec 18 05:46PM -0800

Hello,,
 
About our world..
 
I have studied operational research, and you have to understand
a very important thing, you have to understand that science
and technology and economy have to follow some rules
of logistics in operational research, this is the deficiency
of neo-nazism and such violent ideologies, they are not
understanding the game of today that needs logistics
to be more successful, so the world has changed and neo-nazism
is not understanding this changing, changes such as you are seeing USA
companies coming to Morocco my country such as the following(this is
also following rules of logistics):
 
I am a white arab from Morocco, here is US Companies Operating in Morocco:
 
http://heymorocco.com/american-companies-in-morocco.aspx
 
 
I think DXC Technology was not on the list, here it is:
 
Look at the following video about DXC Technology in Morocco:
 
https://www.youtube.com/watch?v=EZ_MyKQ-250
 
 
Read about DXC Technology here:
 
http://www.dxc.technology/
 
 
So as you are noticing USA is also understanding that we have to know
how to work together to be more efficient ! this is why it is working
and investing in other countries such as Morocco !
 
So i think we have to be more optimistic about USA..
 
 
 
Thank you,
Amine Moulay Ramdane.
Horizon68 <horizon@horizon.com>: Dec 18 03:39PM -0800

Hello...
 
Read This:
 
I am not only a more serious computer programmer who has invented many
scalable algorithms and there implementations that you will find here on
my website:
 
https://sites.google.com/site/scalable68/
 
 
But i have also studied operational research, this is why i have
implemented my following projects:
 
 
My Maxflow algorithm for Delphi and FreePascal was just updated to
version 1.02
 
I have added a validation process.
 
Description:
 
This is the Maxflow algorithm with a decent performance, please read
more about it inside the MaximumFlow.pas file.
 
Here is how to run the program:
 
MaximumFlow MaxflowDatafile Output
 
The MaxflowDatafile is the input file and Output is the output file.
 
You can download it from:
 
https://sites.google.com/site/scalable68/maxflow-algorithm-for-delphi-and-freepascal
 
 
My other Dijkstra and Bellman-Ford-Moore's algorithms for Delphi and
FreePascal are here:
 
https://sites.google.com/site/scalable68/dijkstra-and-bellman-ford-moore-s-algorithms
 
 
And my powerful PERT++ is here:
 
https://sites.google.com/site/scalable68/pert-an-enhanced-edition-of-the-program-or-project-evaluation-and-review-technique-that-includes-statistical-pert-in-delphi-and-freepascal
 
 
Thank you,
Amine Moulay Ramdane.
Horizon68 <horizon@horizon.com>: Dec 18 03:16PM -0800

Hello..
 
About optimization..
 
Optimization is a special area within Mathematics and Engineering. The
idea of optimization is to find the best possible – or a sufficiently
good – solution to a problem given in the form of a mathematical
description of a system or process.
 
And about optimization, i have just included the 64 bit SYMPHONY solver
for mixed-integer linear programs (MILPs), with a batch file that
executes the MPS file, inside the zip file that you can download from here:
 
https://sites.google.com/site/scalable68/linear-programming-modeling-examples-in-object-pascal
 
And you can read this interesting webpage and you will notice on the
benchmark that SYMPHONY solver is good:
 
ILP Solver Comparison Part I
 
http://strimas.com/prioritization/scip-performance/
 
 
Thank you,
Amine Moulay Ramdane.
Horizon68 <horizon@horizon.com>: Dec 18 10:25AM -0800

Hello,
 
 
Advances in integer optimization from 1988 to 2017:
 
– Improved algorithms and methods: 147,650 times faster
 
– Improved computing power: 17,120 times faster
 
– Overall improvement: 2,527,768,000 times faster
 
In practice, this means that solving a typical MILP problem would have
taken 80 years back in 1988, whereas today it only takes one second.
However, while MILP problem solving is nowadays standard technology,
MINLP problems still pose a challenge.This is motivating and inspiring
researchers in the field.
 
 
Read more here:
 
The world's fastest
 
https://www.abo.fi/en/news/the-worlds-fastest/
 
 
Thank you,
Amine Moulay Ramdane.
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