Evolutionary algorithms have been proven effective in solving complex optimization problems. This paper proposes a production shape optimization framework, and a data-driven and decomposition-based ...

Sturm, K. (2015) Minimax Lagrangian Approach to the Differentiability of Nonlinear PDE Constrained Shape Functions without Saddle Point Assumption. SIAM Journal on Control and Optimization, 53, ...

Step-by-step coding guide to implement RMSProp optimizer from scratch — boost your ML models!

Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀 ...

This paper addresses a challenging and novel problem in 2D shape cloud visualization: arranging irregular 2D shapes on an irregular canvas to minimize gaps and overlaps while emphasizing critical ...

Discover how Carnegie Mellon researchers are using robot quilting to create innovative, flat-pack furniture that transforms from 2D to 3D forms.

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 ...

A mathematician has calculated the ideal shape for a beer glass to keep the liquid inside as cool as possible ...