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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


Machine Learning As Prescriptive Analytics
I made a mistake about machine learning. Repeatedly. I said, and I wrote, that machine learning and predictive analytics were almost the same. To be more specific, my view was simple: analytics can be divided in four categories, exemplified below...
from Blog: IT Best Kept Secret Is Optimization
Modified on by JeanFrancoisPuget


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
9,351 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
12,555 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
