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Delaunay Mesh Generation (2012)

Delaunay Mesh Generation Our book is a thorough guide to Delaunay refinement algorithms that are mathematically guaranteed to generate meshes with high quality, including triangular meshes in the plane, tetrahedral volume meshes, and triangular surface meshes embedded in three dimensions. It is also the most complete guide available to Delaunay triangulations and algorithms for constructing them. We have designed the book for two audiences: researchers, especially graduate students, and engin

Algorithms for making interesting organic simulations

Algorithms for making interesting organic simulations The purpose of this article is to explain techiques that enabled me to make simulations like the one below, along with a lot of other organic looking things. We will focus on algorithmic techniques for artistic purpose rather than scientific meaning. 1. Physarum algorithm from Jeff Jones (2010) Jeff Jones presented a simulation algorithm that reproduces the behavior of organisms such as Physarum polycephalum. It is explained in this paper.

Your Fitbit Could Become Your Post-Surgery Best Friend

A Fitbit a day just might help keep your post-surgery woes at bay. Research today finds that wearable data can predict children’s risk of health problems following a removed appendix. Scientists in Chicago conducted the study, which equipped over a hundred children with Fitbits after their appendectomy. Using a specially designed algorithm, the Fitbits accurately detected whether children would develop postoperative complications, often days before they were formally diagnosed. The findings sug

An Algorithm for a Better Bookshelf

Drop in at a library, and you’ll likely notice that most shelves aren’t full—librarians leave some empty space on each shelf. That way, when they get new books, they can slot them into place without having to move too many other books. It’s a simple-enough idea, but one that arises in a host of settings in computer science that involve sorted data, such as an alphabetically ordered census repository, or a list of connections between members of a social network. In such situations, where the ent

Quantum Hardware Readiness for Two-Step Quantum Search Algorithm

The traveling salesman problem (TSP) has challenged computer scientists for decades. Finding the shortest route that visits all cities exactly once sounds simple, but it becomes computationally explosive as the number of destinations grows. With applications spanning logistics, manufacturing, and network optimization, any breakthrough in solving TSP efficiently could transform entire industries. A recent paper published in IEEE Transactions on Quantum Engineering by Rei Sato, Cui Gordon, Kazuhi

A New Standard for Ethical Hiring: Combining Human Judgement with AI Fairness Tools

The ability of AI-powered systems to make decisions based on complicated sets of data has introduced speed and efficiency to hiring, the loan approval process, fraud detection, and more. But has it enhanced accuracy? Many would argue no, especially those impacted by biased hiring algorithms, including employees and employers. One of the most elusive conundrums is how to fight age-based bias by AI-powered hiring systems. For the 2024 IEEE International Conference on Big Data and Smart Computing

What does it mean for an algorithm to be “fair”?

Van der Vliet and other welfare advocates I met on my trip, like representatives from the Amsterdam Welfare Union, described what they see as a number of challenges faced by the city’s some 35,000 benefits recipients: the indignities of having to constantly re-prove the need for benefits, the increases in cost of living that benefits payments do not reflect, and the general feeling of distrust between recipients and the government. City welfare officials themselves recognize the flaws of the sy

SIMD-friendly algorithms for substring searching (2016)

Introduction Popular programming languages provide methods or functions which locate a substring in a given string. In C it is the function strstr , the C++ class std::string has the method find , Python's string has methods pos and index , and so on, so forth. All these APIs were designed for one-shot searches. During past decades several algorithms to solve this problem were designed, an excellent page by Christian Charras and Thierry Lecroq lists most of them (if not all). Basically these al

SIMD-friendly algorithms for substring searching (2018)

Introduction Popular programming languages provide methods or functions which locate a substring in a given string. In C it is the function strstr , the C++ class std::string has the method find , Python's string has methods pos and index , and so on, so forth. All these APIs were designed for one-shot searches. During past decades several algorithms to solve this problem were designed, an excellent page by Christian Charras and Thierry Lecroq lists most of them (if not all). Basically these al

SIMD-friendly algorithms for substring searching

Introduction Popular programming languages provide methods or functions which locate a substring in a given string. In C it is the function strstr , the C++ class std::string has the method find , Python's string has methods pos and index , and so on, so forth. All these APIs were designed for one-shot searches. During past decades several algorithms to solve this problem were designed, an excellent page by Christian Charras and Thierry Lecroq lists most of them (if not all). Basically these al