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Configuring IBM Storwize V7000 and SVC for Optimal Performance Part 1
Configuring IBM Storwize V7000 and SVC for Optimal Performance Part 1 I've been involved in a quite a few presales, proof of concept and aftersales accounts where people have setup their V7000 and then wondered about the performance they are...
Modified on by orbist


No, The TSP Isn't NP Complete
Two recent blog posts discussing the Traveling Saleman Problem (TSP) led me to write this post. The two blog posts are What is Operations Research by Graham Kendall, and I’ve Been Everywhere (Optimally…) ...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


NP Or Not NP? That Is The Question
A recent blog entry on TSP and NP completeness made me write the long overdue entry I wanted to write about complexity of optimization problems. It comes in play when customers ask this simple question: My problem takes too long to solve, what can I do? ...
from Blog: IT Best Kept Secret Is Optimization


We must show the pain before we can propose the cure
Part of my job is to inject optimization in IBM Anaytics solutions. During one of the discussions with solution teams we argued about a fairly general issue that can prevent prescriptive analytics adoption. I think it is worth sharing....
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


RVO V.S. std::move Community Blog
Return Value Optimization Return value optimization, simply RVO, is a compiler optimization technique that allows the compiler to construct the return value of a function at the call site. The technique is also named "elision". C++98/03...
from Blog: C/C++ Cafe
Modified on by Zhao Wu


Actionable Insights
JeanFrancoisPuget
Tags:
big_data
analytics
decision
data_science
optimization
4 Comments
5,011 Views
It is good practice to eat your own food. I should be no exception. In my post on the role of data science I was blaming data scientists who left business users without any clue about how to use the insights they produce. I...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Solving the hardest Sudoku  part 1
JeanFrancoisPuget
Tags:
constraint_programming
mathematical_optimization
optimization
analytics
sudoku
mathematics
4 Comments
7,822 Views
Do you know the hardest Sudoku problem? Do you know the best way to solve it? Before answering these questions, let me remind you of what the Sudoku puzzle is about in case you haven't read a newspaper in the last decade (adapted from wikipedia...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Prescriptive Analytics Is Easier And More Profitable Than Predictive Analytics
When you hear about algorithms these days, chances are that you hear about machine learning or predictive analytics. (Some make a distinction between machine learning and predictive analytics, but the distinction is not material for this post. ...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Issues Are Not Where One Think They Are
Where are the issues when one tries to use optimization to improve business? They may not lie where one think. My former colleague Laurent Perron (now at Google) splits the average time spent on optimization projects as follow in his CP 2011...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


What Is The Solution When There Is No Solution ?
JeanFrancoisPuget
Tags:
modeling
infeasibility
optimization
overconstrained
4 Comments
4,304 Views
Optimization is like a Ferarri, when you drive it correctly you can
achieve incredible performance . But you must understand what it can
do and what it can't do or you will crash. Same is true for optimization. I'm starting a series of posts on various...
from Blog: IT Best Kept Secret Is Optimization


Proactive Analytics
Why blog again about optimization and analytics? Because the current way of having optimization be part of analytics is a bit misleading. Let me first say I assume that optimization is part of analytics here. Granted, a previous post of...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Computing The Really Optimal Tour Across The USA On The Cloud With Python
When Randy Olson's Computing the optimal road trip across the U.S. resulted in articles in the Washington Post , NY Daily News , Daily Mail , People Magazine , NY Times , NPR , and many other outlets, the...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


Discovering IBM
I just joined IBM as an employee of the former ILOG company that IBM just acquired. Within ILOG I was in charge of the development of ILOG mathematical optimization products (CPLEX, CP Optimizer, OPL, and ODM). I will continue in this role within the AIM...
from Blog: IT Best Kept Secret Is Optimization


Convex Optimization
I had the pleasure to be invited to attend the German OR conference last week in Aachen. There were many highlights at this conference beside the great venue and excellent organization led by Marco Lübbecke, see for instance Mike Trick...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


What Is The Difference Between SPSS And ILOG ?
JeanFrancoisPuget
Tags:
prescriptive
spss
optimization
ilog
predictive
analytics
2 Comments
9,195 Views
Sure, I would have preferred a more generic title, such as What is the difference between predictive analytics and prescriptive analytics? What is the right decision management technology I need? instead of the IBM specific What is the difference between...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget
