Over the last two decades, it has been observed that using the gradient vector as a search
direction in large-scale optimization may lead to efficient algorithms. The effectiveness relies …

Dynamic legged locomotion is a challenging topic because of the lack of established control
schemes which can handle aerial phases, short stance times, and high-speed leg swings. In …

In order to meet tight emission limits Diesel engines are nowadays equipped with additional
hardware components like an exhaust gas recirculation valve and a variable geometry …

Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured
scenes, with recent methods allowing interactive free-viewpoint navigation and fast training …

Many practical applications lead to optimization problems that can either be stated as
quadratic programming (QP) problems or require the solution of QP problems on a lower …

Background There has been a long-standing need in biomedical research for a method that
quantifies the normally mixed composition of leukocytes beyond what is possible by simple …

The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers
to achieve good image classification performance. This paper presents a simple but effective …

Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …

Contact mechanics has its application in many engineering problems. No one can walk
without frictional contact, and no car would move for the same reason. Hence contact …

We show dynamic locomotion strategies for wheeled quadrupedal robots that combine the
advantages of both walking and driving. The developed optimization framework tightly …