optimization

Discover the latest enhancements in Simcenter Flux 2026.1, including accelerated electromagnetic simulations, improved modeling productivity, expanded engineering workflow connectivity and emerging approaches leveraging surrogate models and optimization.

Mathematicians have considered how to watch every corner of a space—but soccer adds moving players, blocked views and constant action

Scientific Reports, Published online: 11 June 2026; doi:10.1038/s41598-026-54224-6 Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach

A new neural field-based optimization method aims to reshape parts to reduce overhangs and, in turn, minimize the need for 3D printing support structures. The post Neural Shape Optimization Could Cut 3D Print Supports appeared on Fabbaloo .

Below is an open problem, an approachable problem, one perhaps you will be the one to solve! We send a bit over a noisy grid, starting from the origin and propagating out as a wave. Can we recover the original bit when looking at just the wavefront? This is easy to solve for 1D, mostly solved in 2D, and still open in 3D and above. Here is the lecture that introduced the problem to me, as well as …

From ThreadPoolExecutor to httpx AsyncClient: True Async Refactoring Published on : 2026-06-06 Reading time : 6 min Tags : #python #async #performance #optimization The Problem: Fake Async The supabase-async library claimed to be async but actually wrapped synchronous calls with ThreadPoolExecutor: # ❌ Fake async (old code) class SupabaseAsync : def __init__ ( self ): self . _executor = ThreadPoo…

Scientific Reports, Published online: 07 June 2026; doi:10.1038/s41598-026-56529-y A novel hybrid intelligent optimization strategy for multi-objective trajectory planning of robotic arms in precision assembly scenarios

Suppose the following constraints appear in a linear program: \begin{align*} x_i \geq 0; y_i \geq 0; \\ \text{If } x_i > 0, \text{ then } y_i \geq y_j \text { for all $j$. } \end{align*} That is, ...

Published on : 2026-06-06 Reading time : 6 min Tags : #python #async #performance #optimization The Problem: Fake Async The supabase-async library claimed to be async but actually wrapped synchronous calls with ThreadPoolExecutor: # ❌ Fake async (old code) class SupabaseAsync : def __init__ ( self ): self . _executor = ThreadPoolExecutor ( max_workers = 3 ) async def select ( self , table : str )…

Application deadline: Tuesday, June 30, 2026 Employer web page: https://huberfe.github.io/jobs Job type: PhD PhD student (4 years). We are seeking a motivated PhD student that is interested to work on quantum information and mathematical optimization in the group of Felix Huber . Topics they can expect to work on are: approximation algorithms in QIT (e.g. ground state energies) symmetry- and size…

Matrix problems often seem tricky because multiple rows and columns move at the same time. In this problem, we need to rotate an n × n matrix by 90 degrees clockwise without using any extra matrix. The key insight is that we don't need to perform the rotation directly. Instead, we can break it down into two simple operations that are easy to perform in-place. Problem Statement Given an n x n matr…

Fine-tuning for domain-specific tasks means improving performance in one area without degrading the model’s general capabilities, and getting that balance right is harder than it looks. This post walks through how to navigate that balance, from selecting the right customization strategy for your data and task, to configuring the training parameters that most influence outcomes, like learning rate…

Let's chat about performance, optimization, and debugging a PostgreSQL database. Can you read EXPLAIN ANALYZE output fluently? Do you know how to find which tenant is causing a slow query, how to use pg_stat_statements , how to spot lock contention? If you have a hard time answering those, don't worry. Today we're going to cover all of them and practice how to get better at it. The goal here: you…

Late physicist turned issue of when to stop searching for a better place to eat into mathematical problem When it comes to exploring a new city, it can be tricky to know when to stop searching for a different restaurant to try every night, or to visit the first place you love on repeat. Now researchers have found that the late physicist and Nobel laureate Richard Feynman devised a mathematical eq…

Physicist Richard Feynman turned a lunch dilemma into a math problem. Researchers finally cracked his notes and found people approximate his solution on their own.

Mathematics has always been the language of deep structure. It gives us a way to describe patterns, reason about complexity, and understand what is possible. It is also one of the foundations of modern computing. Every processor instruction, every algorithm, and every computational breakthrough ultimately rests on mathematical ideas about how information can be represented, transformed, optimized…

Let $$ \ell_1^{(1)} = \left\{ x=(x_i)_{i\ge1} : x_i\ge 0,\; \sum_{i=1}^{\infty} x_i =1 \right\}. $$ Equip $\ell_1^{(1)}$ with the metric induced by the $\ell^1$ norm: $$ d(x,y) = \|x-y\|_1 = ...

Scientific Reports, Published online: 01 June 2026; doi:10.1038/s41598-026-55326-x Multi-Strategy optimisation algorithm for multi-UAV path planning in complex mountainous environments

I am a second year PhD student in mathematics and I have been working on a problem for a couple years. I published some papers and gave conference talks on partial results. I feel I am very close to ...

Scientific Reports, Published online: 30 May 2026; doi:10.1038/s41598-026-54201-z A state-adaptive booby optimization algorithm for engineering design and medical data applications