Results 51 to 60 of about 652 (179)
On The Reverse Minkowski’s Integral Inequality
The aim of this work is to obtain the reverse Minkowski integral inequality. For this aim, we first give a proposition which is important for our main results. Then we establish some reverse Minkowski integral inequalities for parameters 0 < p < 1 and p < 0, respectively.
openaire +2 more sources
New practical algorithms for the approximate shortest lattice vector [PDF]
We present a practical algorithm that given an LLL-reduced lattice basis of dimension n, runs in time O(n3(k=6)k=4+n4) and approximates the length of the shortest, non-zero lattice vector to within a factor (k=6)n=(2k). This result is based on reasonable
Schnorr, Claus Peter
core
Sequential Point Estimation of the Location Parameter in the Location-Scale Family of Non-Regular Distributions [PDF]
In this paper, we consider sequential estimation of the location parameter based on the midrange in the presence of an unknown scale parameter when the underlying distribution has a bounded support.
Koike Ken-ichi, 小池 健一
core +1 more source
Tensor Changepoint Detection and Eigenbootstrap
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta +2 more
wiley +1 more source
The Brunn-Minkowski inequality [PDF]
This is a basic and high quality survey on the subject related to the isoperimetric inequality. As the author writes: ``This guide explains the relationship between Brunn-Minkowski inequality (B-M-I) and other inequalities in geometry and analysis, and some applications.'' This work can be considered as the up-to-date version of the excellent survey ...
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Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley +1 more source
On Hölder and Minkowski Type Inequalities
We obtain inequalities of Hölder and Minkowski type with weights generalizing both the case of weights with alternating signs and the classical case of nonnegative weights.
Petr Chunaev +2 more
openaire +6 more sources
A maxiset approach of a Gaussian noise model [PDF]
We consider the problem of estimating an unknown function $f$ in a homoscedastic Gaussian white noise setting under $\mathbb{L}^p$ risk. The particularity of this model is that it has an intermediate function, say $v$, which complicates the estimate ...
Chesneau, Christophe
core +1 more source
Universal Entanglement and an Information‐Complete Quantum Theory
This Perspective summarize an informationcomplete quantum theory which describes a fully quantum world without any classical systems and concepts. Here spacetime/gravity, having to be a physical quantum system, universally entangles matter (matter fermions and their gauge fields) as an indivisible trinity, and encodes information‐complete physical ...
Zeng‐Bing Chen
wiley +1 more source
Bootstrap tests for unit root AR(1) models [PDF]
In this paper, we propose bootstrap tests for unit roots in first-order autoregressive models. We provide the bootstrap functional limit theory needed to prove the asymptotic validity of these tests both for independent and autoregressive errors; in this
Ferretti, Nélida, Romo, Juan
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