Special issue on defining robust energy R&D portfolios

Special Issue

Special Issue on Robust Geometric Algorithms and their Implementations

The robust implementation of geometric algorithms is highly nontrivial. There are several reasons for this: theoretical algorithms (i.e., algorithms on paper) traditionally assume error-free real computations, at constant time cost per operation, and data in general position. All three assumptions do not hold in the real world (i.e., algorithms on silicon). So implementors face the tasks of (1)...

Special Issue on Advances in Data Mining and Robust Statistics

The main aim of data mining is to extract knowledge from, usually very large, datasets. Data mining techniques are often applied to gain initial insights about the data and complement statistical models. This special issue focuses on the interface between data mining and statistical modelling, with special emphasis on robust statistics. Very large datasets, especially those that are machine gen...

Special issue on robust analysis of complex data

Nowadays we are often confronted with large data sets in high dimensions. These new types of data have led to the emergence and use of complex models such as graphical models, models for complex correlation structures and models for functional data for instance. These complex structures pose many challenges. Specifically, when many measurements on several variables are recorded, it becomes more...

Introduction to the Special Issue on Energy Efficient Buildings

The current energy prices are at a historically high level. This, ombined with technological advances, has led to a surge in the nterest in energy savings in buildings. Buildings are traditionlly the domain of civil engineers, but from a modeling, control nd optimal operation point of view, there are strong similarities ith industrial processes, where use of control and other system ngineering ...