Abstract: In many areas of knowledge, situations in which we have to model and solve optimization problems are recurrent. Among the mathematical theories that support the solution of such problems, ...

A high-performance Rust-based nonlinear least squares optimization library designed for computer vision applications including bundle adjustment, SLAM, and pose graph optimization. Built with focus on ...

In this video, I summarize the different transformations you can apply to a graph, specifically focusing on how they impact a quadratic equation. We'll explore how adding, subtracting, or multiplying ...

Factor graph optimization serves as a fundamental framework for robotic perception, enabling applications such as pose estimation, simultaneous localization and mapping (SLAM), structure-from-motion ...

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Optimization is a crucial tool throughout science and technology. Large datasets and high dimensional problems create unique challenges for standard optimization techniques such as Newton’s method, ...

I'm a software developer and writer, passionate about learning and sharing knowledge and one way I do that is through writing. I'm a software developer and writer, passionate about learning and ...

Spreadsheets have been a trusted companion in our professional lives for decades—whether it’s tracking budgets, analyzing data, or planning projects. But let’s be honest: as powerful as tools like ...

In today’s post, I’m sharing with you a meticulously curated collection of some of the best math websites and platforms. This list is indeed the result of several updates and feedback from the vibrant ...

We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both ...