New three-year funding from Fundación Seneca for Project DICOPMA

The MultiSimO Lab. in collaboration with Optimization and Variational Methods research group from UCLM has received three-year funding from Fundación Seneca- Agencia de Ciencia y Tecnología de la Región de Murcia for project DICOPMA (23.904 €). The research project is focused on the Optimal Design and Control of the new generation of Active Materials. The DICOPMA project … Read more

Course on Control of PDEs under Uncertainty

From January 14th until January 16th, 2019Waste4Think Room at DeustoTechJesús Martínez-Frutos and Francisco PeriagoAbstract:This 10 hours course will offer a direct and comprehensive introduction to the basic theoretical and numerical concepts in the emergent field of optimal control of partial differential equations (PDEs) under uncertainty. The main objective of the course is to provide graduate … Read more

Lecture by Dr. David Crevillen Garcia- «Seminario Félix Mondéjar»

We would like to kindly invite you to join us at a Special Guest Lecture by Dr. David Crevillen Garcia from the University of Warwick. The lecture is entitled “Métodos de Análisis de Incertidumbre en Modelos Estocásticos”. When: Thursday26 July, 12:00 p.m. Where:  Salón de Grados of the Industrial Engineering Faculty, Technical University of Cartagena.

Categories Uncategorized

Thematic session “Recent Advances in Shape and Topology optimization” in CMNE2019

Dr. Jesús. Martínez Frutos, Dr. Joan Baiges and Dr. Alex Ferrer are organizing a session at the Congress on Numerical Methods in Engineering – CMN 2019  that will take place in Guimarães, July 1 – 3, 2019. This mini-symposium aims at bringing together researchers, academics and practicing engineers concerned with the recent advances in shape … Read more

New book on “Optimal Control of Partial Differential Equations under Uncertainty”

The book “Optimal Control of PDEs under Uncertainty”  by Jesús Martínez-Frutos and Francisco Periago has been published in BCAM SpringerBriefs . This book gives a direct and comprehensive introduction to the theoretical and numerical concepts in the emergent field of optimal control of partial differential equations (PDEs) under uncertainty. The main objective of the book is to provide graduate … Read more