Hosted on MSN

Projectile motion practice: Solved physics problem examples

Practice projectile motion with fully solved physics problem examples. This video walks through step-by-step solutions to help you understand equations, motion components, and problem-solving ...
The Advocate

How the LSU women are using Angel Reese’s example to solve their rebounding problems

On Tuesday afternoon, Bob Starkey was in the LSU women’s basketball team’s locker room when he decided to take out his phone and snap a photo he’d later post to Instagram. Starkey wanted people to see ...
SciELO

Robust Multi-objective Optimization Applied to Engineering Systems Design

In engineering systems design, theoretical deterministic solutions can be hardly applied directly to real-world scenarios. Basically, this is due to manufacturing limitations and environmental ...
Hosted on MSN

Forward kinematics solved example — step-by-step explanation

Learn forward kinematics through a solved example with a clear, step-by-step explanation. This guide walks you through positions, angles, and transformations, making it easier to understand robotic ...
GitHub

Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation

Visual navigation is a fundamental problem in embodied AI, yet practical deployments demand long-horizon planning capabilities to address multi-objective tasks. A major bottleneck is data scarcity: ...
GitHub

Introductory (adjustable) robust optimization by matrix computation.

This repo has been archived in 190728. New update will be made to edxu96/MatrixOptim, which is the aggregation of robust optimization and matrix optimization. It's in matrix form as well, and there is ...
Scientific Research Publishing

Formato, R.A. (2025) Six-Element Yagi-Uda Array: An Example of Using Negative Gravity in Central Force Optimization for Improving Decision Space Exploration. Wireless ...

ABSTRACT: This note describes optimally matching the seminal Fano Load using Central Force Optimization with Negative Gravity. This approach improves the best fitness by more than eighteen percent and ...
C&EN

Risk-Averse Distributionally Robust Optimization for Resilient Biomass Supply Chain Network Design

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study investigates designing a resilient biomass supply chain (BSC) network to ...
IEEE

Multi-Stage Robust Reactive Power Optimization in Active Distribution Networks With Discrete Intertemporal Constraints

Abstract: Reactive power regulation is crucial for active distribution networks (ADNs). This paper studies the multi-stage reactive power optimization in ADNs with renewables considering intertemporal ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Business Wire

Innovative Algorithm Slashes Time to Solve Massive Optimization Problems

BOZEMAN, Mont.--(BUSINESS WIRE)--FICO (NYSE: FICO): Global analytics software leader FICO today announced that the 2024 FICO® Xpress Best Paper Award went to a team that developed an algorithm for ...