algorithms

When working on a web project, one of the easiest ways to create unnecessary development work is to start coding before the feature requirements and integration approach are clear. I’ve found that creating an issue, proposal, or short technical plan before development can make a big difference. It gives everyone an opportunity to discuss the idea, identify potential problems, and agree on an impl…

Scientific Reports, Published online: 21 August 2026; doi:10.1038/s41598-026-67953-5 Mapping and autonomous navigation of TurtleBot2 using hybridization of A* algorithm, DWA, and RatSLAM

Legislation introduced this week seeks to police the use of algorithmic price-setting for home rentals and rein in how the federal government influences new data center construction.

Rolando D. Somma of Google Quantum AI and colleagues have devised a quantum algorithm that efficiently solves the Sylvester equation, a fundamental linear matrix equation used in fields from control theory to physics. The approach constructs a solution matrix using a technique that allows faster access to its properties than traditional methods of preparing a quantum state. The query and gate com…

Imagine your API suddenly receives 1 million requests in a few seconds . Maybe it's a viral product launch. Maybe a client accidentally created an infinite loop. Or maybe someone is deliberately trying to overwhelm your system. Without protection, your servers could become overloaded, response times could increase, and legitimate users could start receiving errors. This is where rate limiting com…

Event loops are a paradigm for processing events different than your typical single-threaded or multi-threaded application. Your request gets broken down into async "events" that are executed in a loop to improve performance and minimize synchronization across threads. It is famously used by Node.js as the backbone of their event processing and also by several other technologies like Redis and Ng…

Detecting scraper bots through scroll behaviour Ever since I first read "Burstiness and Memory in Complex Systems" by Kwang-Il Goh, I have been obsessed with the two formulas showcased in the paper. Burstiness (B), and its just-as-important counterpart Memory (M), let us understand the dynamics of event-based systems. We can use them to analyse the behaviour of sent emails, texts or even heartbea…

Most guides open with 0.1 + 0.2 === 0.30000000000000004 and conclude "don't use floats for money." True, and not very useful. The interesting question is what you replace it with, because "use decimals" and "use integers" are different answers that fail in different places. Neither of them addresses the bug most likely to reach production: a function that cheerfully adds 500 US dollars to 500 Jap…

Why retrieval quality should be a property of the system, not of the question's wording? Rebuilding knowledge layer with graph traversal on every query, bitemporal edges, and two-threshold entity resolution. The post Making the Knowledge Layer a Graph You Actually Traverse appeared first on Towards Data Science .

Learning Data Structures and Algorithms (DSA) often feels like facing an challenging wall of complex jargon, syntax, and heavy mathematics. But don't worry because we just posted a course on the freeC

Learning Data Structures and Algorithms (DSA) often feels like facing an challenging wall of complex jargon, syntax, and heavy mathematics. But don't worry because we just posted a course on the freeC

dc.title: PEAK : cost-adaptive profiling in a heartbeat dc.description.abstract: Instrumentation-based profiling is essential for uncovering fine-grained optimization opportunities in High-Performance Computing (HPC) and cloud applications, yet static instrumentation methods often impose fixed profiling overheads that cannot adapt to the dynamic workloads from applications at runtime. We further …

CP1.md Starting out with Competitive Programming (This guide is meant for beginners. If you have solved 100+ problems and are looking for guidance on how to solve problems involving algorithms and data structures, this document is not for you.) Competitive Programming is an interesting activity which mixes problem solving with programming. It is not only enjoyable but also very demanded in placem…

Jitter: Making Things Better With Randomness Jitter is a good thing. Two weeks ago, I wrote an article titled Exponential Backoff and Jitter for the AWS Architecture blog. It looks at OCC in particular, but the lessons are applicable to all distributed systems. The bottom line is that exponential backoff is good, but not sufficient to prevent both wasted time and wasted effort. Communication in d…