نتایج جستجو برای: ‎superlinear‎

تعداد نتایج: 1776  

2011
Said R. Grace Ravi P. Agarwal Sandra Pinelas

Some oscillation criteria for the oscillatory behavior of fourth order superlinear dynamic equations on time scales are established. Criteria are proved that ensure that all solutions of superlinear and linear equations are oscillatory. Many of our results are new for corresponding fourth order superlinear di¤erential equations and fourth order superlinear di¤erence equations.

Journal: :Pacific Journal of Mathematics 2004

Journal: :bulletin of the iranian mathematical society 2016
a. benmezai s. mechrouk

in this paper we provide‎ ‎existence results for positive solution to‎ ‎dirichlet p(t)-laplacian boundary value problems‎. ‎the sublinear and‎ ‎superlinear cases are considerd‎.

In this paper we provide‎ ‎existence results for positive solution to‎ ‎Dirichlet p(t)-Laplacian boundary value problems‎. ‎The sublinear and‎ ‎superlinear cases are considerd‎.

2004
Bernhard Ruf

In this paper we study superlinear elliptic systems in Hamiltonian form. Using an Orlicz-space setting, we extend the notion of critical growth to superlinear nonlinearities which do not have a polynomial growth. Existence of nontrivial solutions is proved for superlinear nonlinearities which are subcritical in this generalized sense.

Journal: :Journal of Functional Analysis 2012

Journal: :Applied Mathematics Letters 2016

Journal: :SIAM Review 2005
Valeria Simoncini Daniel B. Szyld

Krylov subspace methods often exhibit superlinear convergence. We present a general analytic model which describes this superlinear convergence, when it occurs. We take an invariant subspace approach, so that our results apply also to inexact methods, and to non-diagonalizable matrices. Thus, we provide a unified treatment of the superlinear convergence of GMRES, Conjugate Gradients, block vers...

2006
Peter Géczy Shotaro Akaho Shiro Usui

Substantial number of problems in artificial intelligence requires optimization. Increasing complexity of the problems imposes several challenges on optimization algorithms. The algorithms must be fast, computationally efficient, and scalable. Balance between convergence speed and computational complexity is of central importance. Typical example is the task of training neural networks. Superli...

Journal: :SIAM Journal on Optimization 2010
D. Fernández Alexey F. Izmailov Mikhail V. Solodov

As is well known, Q-superlinear or Q-quadratic convergence of the primal-dual sequence generated by an optimization algorithm does not, in general, imply Q-superlinear convergence of the primal part. Primal convergence, however, is often of particular interest. For the sequential quadratic programming (SQP) algorithm, local primal-dual quadratic convergence can be established under the assumpti...

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