Geometric Optimization and Approximation Algorithms Publication Trend The graph below shows the total number of publications each year in Geometric Optimization and Approximation Algorithms.

Computational geometry is a mathematical field that involves the design, analysis and implementation of efficient algorithms for solving geometric problems.

Metric spaces form the backbone of modern computational geometry by providing a rigorous framework for measuring distances within abstract sets, while geometric approximation algorithms yield near ...

A new algorithm could help understand the structure of liquids, and how they flow through porous media. Theoretical physicists have now implemented an algorithm for analyzing void space in sphere ...

This algorithm for digital geometry compression allows the transmission of data concerning the size and shape with which 3D objects can be displayed, measured, and manipulated.

Quantum algorithm of the direct calculation of energy derivatives developed for molecular geometry optimization A significant step toward social implementation of chemical quantum calculations on ...

Their approach outperforms other state-of-the-art algorithms in detecting stroke lesions, showcasing the potential of geometric deep learning in medical imaging.

Geometric Intelligence says its learning algorithms can pick up new skills faster than those behind the recent flurry of investment in AI.

Islamic geometric patterns : their historical development and traditional methods of construction / Jay Bonner ; with a chapter on the use of computer algorithms to generate Islamic geometric patterns ...