Seville, Spain

Antonio Jose Acosta Jimenez


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Antonio Jose Acosta Jimenez

Introduction

Antonio Jose Acosta Jimenez is a notable inventor based in Seville, Spain. His work focuses on advancements in multivariable functions, particularly through the development of a unique method that integrates online computation for enhanced efficiency.

Latest Patents

Acosta Jimenez holds a patent for a "Method for generating piecewise-affine multivariable functions with on-line computation of the search tree and device for implementing same." This innovation allows for the efficient location of input values within polytopes and generates the corresponding affine function. The invention includes a configurable and programmable device composed of four functional blocks: a control unit block, a tree memory block, a parameter memory block, and an arithmetic unit block. The device can operate in at least three modes, including writing to memory and evaluating affine functions, while a fourth mode for testing is also available.

Career Highlights

His career includes significant positions at respected institutions such as Universidad de Sevilla and Consejo Superior de Investigaciones Científicas. These experiences provided him with a robust foundation in research and development, contributing to his inventive process.

Collaborations

Throughout his career, Acosta Jimenez has collaborated with esteemed colleagues, including Iluminada Baturone Castillo and Javier Castro Ramirez. These partnerships have enhanced his research endeavors and fostered innovation in the field.

Conclusion

Antonio Jose Acosta Jimenez's contributions to technology through his innovative methods and collaborative efforts place him among the notable inventors in his field. His patent not only showcases his ingenuity but also has the potential to influence advancements in multivariable function computation.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…