Results 91 to 100 of about 6,417 (238)
We prove the existence of a nontrivial solution for the nonlinear elliptic problem $-Delta u=lambda h(x)u + a(x)g(u)$ in $R^N$, where $g$ is superlinear near zero and near infinity, $a(x)$ changes sign, $lambda $ is positive, and $h(x)geq 0$ is a weight ...
David G. Costa, Yuxia Guo, Miguel Ramos
doaj
Existence of Solutions to Boundary Value Problems for the Discrete Generalized Emden-Fowler Equation
We consider the existence of solutions to boundary value problems for the discrete generalized Emden-Fowler equation. By means of the minimax methods in the critical point theory, some new results are obtained.
Tieshan He, Fengjian Yang
doaj +1 more source
Bayesian Decision Thresholds for Bushfire Warnings: Calibration and Robustness for Rare‐Event Risk
ABSTRACT Current bushfire warning systems communicate the probability of a warning given danger, but residents require the probability of danger given a warning. This misalignment, combined with the extreme rarity of catastrophic fires, often leads to the dangerous ‘wait and see’ behaviour.
Miodrag Lovric, Ojas Davé
wiley +1 more source
Minimax methods for estimation
: The fundamental problems of minimax estimation are described and the solving methods are set forth. The linear programming based solutions (Ch.
Lidov M.L. http://library.keldysh.ru/author_page.asp?aid=3281
core
Asymptotics for the Spectrum of the Laplacian in Thin Bars with Varying Cross Sections
ABSTRACT We consider spectral problems for the Laplace operator in 3D rod structures with a small cross section of diameter O(ε)$$ O\left(\varepsilon \right) $$, ε$$ \varepsilon $$ being a positive parameter. The boundary conditions are Dirichlet (Neumann, respectively) on the bases of this structure, and Neumann on the lateral boundary.
Pablo Benavent‐Ocejo +2 more
wiley +1 more source
"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
Tatsuya Kubokawa, M. S. Srivastava
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Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
This paper delves into the realm of stochastic optimization for compositional minimax optimization—a pivotal challenge across various machine learning domains, including deep AUC and reinforcement learning policy evaluation. Despite its significance, the
Pan, Xiaokang +5 more
core +1 more source
Minimax polynomial approximation
Some new methods for obtaining the minimax polynomial approximation of degree n n to a continuous function are introduced, and applied to several simple functions.
Harry H. Denman
core +1 more source
Three solutions for quasilinear equations in Rn near resonance
We use minimax methods to prove the existence of at least three solutions for a quasilinear elliptic equation in $mathbb {R}^n$ near resonance.
Pablo De Napoli, Maria Cristina Mariani
doaj
Alternative Theorems and Minimax Inequalities in G-convex Spaces
[[abstract]]In this paper, we obtain three alternative theorems in G-convex spaces, each of them involving three set-valued mappings.
M.Balaj ; Lai-Jiu Lin
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