Fast Penetration Depth Estimation for Elastic Bodies

We present a fast penetration depth estimation algorithm between deformable polyhedral objects. We assume the continuum of non-rigid models are discretized using standard techniques, such as finite element or finite difference methods. As the objects deform, the pre-computed distance fields are deformed accordingly to estimate penetration depth, allowing enforcement of non-penetration constraints between two colliding elastic bodies. This approach can automatically handle self-penetration and inter-penetration in a uniform manner. We demonstrate its effectiveness on moderately complex simulation scenes

Distance Learning

Distance learning is the thing without which it is impossible to learn in the future. System of distance learning has to have modern studying materials and interesting resources, where student can interact with everything which is there. Below I will give some examples of why it is worth investing and developing this system

Distance

The only way to kill the fleas, Mama said, is to pinch them between your fingers and drown them in soapy water. If it\u27s just plain tap, they swim to the rim and escape, she said. If ther\u27s soap, it gets in their lungs and it\u27s all over

Distance dramaturgy

A correspondence and conversation between Dee Heddon and Alex Kelly. How do you tell a life? Throughout much of 2004 and into 2005 Dee Heddon and Alex Kelly corresponded by email: about auto/biographical performance, auto/biographical literature, Lad Lit, reading, writing, story telling and Third Angel’s performance making processes. This discussion was one strand of the making process of Third Angel’s performance The Lad Lit Project; a dramaturgy at a distance. Responding to research prompts from Alex – reading lists, notebook quotes, research and rehearsal room reports – Dee intervened with questions, provocations, opinions, suggestions for devising exercises. The personal, practical and theoretical intertwined. These interventions had a significant effect on the process and final show, helping Alex to move the work from a theatrical quoting of the Lad Lit genre, to become a performance work that is both autobiographical and about autobiography. For the creation of this text Dee and Alex return to their original correspondence, teasing out the significant strands and key exchanges, reflecting on carrying out dramaturgy at a distance, and discussing the impact of this process on the final performance. A document of quoted archive material (emails, notebook extracts) and discussion after the event

Cosmological distance indicators

We review three distance measurement techniques beyond the local universe: (1) gravitational lens time delays, (2) baryon acoustic oscillation (BAO), and (3) HI intensity mapping. We describe the principles and theory behind each method, the ingredients needed for measuring such distances, the current observational results, and future prospects. Time delays from strongly lensed quasars currently provide constraints on $H_0$ with < 4% uncertainty, and with 1% within reach from ongoing surveys and efforts. Recent exciting discoveries of strongly lensed supernovae hold great promise for time-delay cosmography. BAO features have been detected in redshift surveys up to z <~ 0.8 with galaxies and z ~ 2 with Ly-$\alpha$ forest, providing precise distance measurements and $H_0$ with < 2% uncertainty in flat $\Lambda$CDM. Future BAO surveys will probe the distance scale with percent-level precision. HI intensity mapping has great potential to map BAO distances at z ~ 0.8 and beyond with precisions of a few percent. The next years ahead will be exciting as various cosmological probes reach 1% uncertainty in determining $H_0$, to assess the current tension in $H_0$ measurements that could indicate new physics.Comment: Review article accepted for publication in Space Science Reviews (Springer), 45 pages, 10 figures. Chapter of a special collection resulting from the May 2016 ISSI-BJ workshop on Astronomical Distance Determination in the Space Ag