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A lower bound for the energy of symmetric matrices and graphs
(2017)
The energy of a symmetric matrix is the sum of the absolute values of its eigenvalues. We introduce a lower bound for the energy of a symmetric matrix partitioned into blocks. This bound is related to the spectrum of its ...
Relaxation approximations and bounded variation estimates for some partial differential equation
(2002)
In this paper, we introduce a new technique for studying solutions of bounded variation for some conservation laws of first order partial differential equations and for some degenerate parabolic equations in multi-dimensional ...
Boosted saturation bound in colliding nuclei
(S/EDITORIAL, 2012)
Time-Bounded Best-First Search for Reversible and Non-reversible Search Graphs
(2016)
Time-Bounded A* is a real-time, single-agent, deterministic search algorithm that expands states of a graph in the same order as A* does, but that unlike A* interleaves search and action execution. Known to outperform ...
Space-Bounded Church-Turing Thesis and Computational Tractability of Closed Systems
(2015)
We report a new limitation on the ability of physical systems to perform computation-one that is based on generalizing the notion of memory, or storage space, available to the system to perform the computation. Roughly, ...
Optimal bounds for T-singularities in stable surfaces
(2019)
We explicitly bound T-singularities on normal projective surfaces W with one singularity, and K-W ample. This bound depends only on K-W(2), and it is optimal when W is not rational. We classify and realize surfaces attaining ...
Analysis of the Bayesian Cramer-Rao lower bound in astrometry Studying the impact of prior information in the location of an object
(2016)
Context. The best precision that can be achieved to estimate the location of a stellar-like object is a topic of permanent interest in the astrometric community. Aims. We analyze bounds for the best position estimation of ...