LLE Review . , LLE Quarterly Report
نویسنده
چکیده
منابع مشابه
Advanced Tritium Recovery System
LLE Review, Volume 89 25 Introduction As part of the U.S. Inertial Confinement Fusion Program, LLE plans to implode deuterium–tritium (DT)–charged microspheres. These microspheres are filled with high-pressure deuterium and tritium gas under cryogenic conditions. The spheres are then stored and transferred as needed to the target chamber (located in an adjacent room) under vacuum and at tempera...
متن کاملThermodynamic entropy and chaos in a discrete hydrodynamical system.
We show that the thermodynamic entropy density is proportional to the largest Lyapunov exponent (LLE) of a discrete hydrodynamical system, a deterministic two-dimensional lattice gas automaton. The definition of the LLE for cellular automata is based on the concept of Boolean derivatives and is formally equivalent to that of continuous dynamical systems. This relation is justified using a Marko...
متن کاملTreatment of Radioactive Wastes Using Liquid-liquid Extraction Technologies-fears, Facts, and Issues
Liquid-Liquid Extraction (LLE) technologies have been extensively used in the nuclear industry worldwide since the 1940’s for the recovery and purification of uranium and plutonium. These and related LLE technologies continue to be successfully utilized outside of the U.S., but their use for nuclear applications in the U.S. has been essentially discontinued. Numerous LLE technologies have been ...
متن کاملTheoretical analysis of LLE based on its weighting step
The local linear embedding algorithm (LLE) is a widely used nonlinear dimension-reducing algorithm. However, its large sample properties are still not well understood. In this paper we present new theoretical results for LLE based on the way that LLE computes its weight vectors. We show that LLE’s weight vectors are computed from the high-dimensional neighborhoods and are thus highly sensitive ...
متن کاملNeighbor Line-Based Locally Linear Embedding
Locally linear embedding (Lle) is a powerful approach for mapping high-dimensional data nonlinearly to a lower-dimensional space. However, when the training examples are not densely sampled, Lle often returns invalid results. In this paper, the Nle (Neighbor Line-based Lle) approach is proposed, which generates some virtual examples with the help of neighbor line such that the Lle learning can ...
متن کامل