When analysing a system’s behavior, it is not uncommon to encounter some kind of problem or difficulty. For example, we might want to improve a process—whether by better distributing workloads, avoiding long wait times, or increasing its performance. However, it…
What are Vehicle Routing optimization Problems? The concept of Vehicle Routing Problem (VRP) is a generalization of the well-known Traveling Salesman Problem (TSP). Specifically, the VRP is a pure optimization problem whose objective is to determine the most efficient route.…
The Revenue Management (RM) departments of companies have the objective of maximising revenue (ideally it should be profit, but this is something we will talk about in another article) through optimal pricing management. There are many considerations that these teams…
The main objective of revenue management teams is to implement a pricing policy that maximises revenue (or profit, if they have integrated cost information in their systems). However, identifying such a pricing policy is complicated by the many different factors…
In the first part of the CUDA Tutorial, we mentioned the GPU’s smallest unit of execution, warps, the equivalent of a kernel on a CPU. However, warps alone cannot harness the full power of the GPU; you need to make…
CUDA is the language used for programming on NVIDIA GPUs, it is vital for a large number of computing tasks, and yet it is a mystery to a large number of programmers. In this post, we attempt to explain some…
The pricing systems currently used in companies have a substantial difference with respect to those of 20 years ago. We have moved from static pricing systems, that is, constant prices at different times of the year, to dynamic systems, where…
This post will deal from another point of view with one of the most popular games that can be played on paper, the Sudoku. The objective will be to explain an algorithm for solving it, together with the code that…
In two previous posts we introduced the basic concepts of Fuzzy Logic and linear programming with the Simplex method. As promised, in this post we are going to join these two concepts and introduce fuzzy linear programming. In many real-world…
A few weeks ago, we talked in our blog about Object recognition with Deep Learning, explaining this technique and some of its algorithms. In this post, we will analyze a very similar area known as semantic image segmentation, a computer…