Results 31 to 40 of about 90,126 (252)
Private Multiplicative Weights Beyond Linear Queries [PDF]
A wide variety of fundamental data analyses in machine learning, such as linear and logistic regression, require minimizing a convex function defined by the data.
Bassily R. +8 more
core +1 more source
Exponentially Convex Functions on Hypercomplex Systems [PDF]
A hypercomplex system (h.c.s.) L1(Q, m) is, roughly speaking, a space which is defined by a structure measure (c(A, B, r), (A, B ∈ ℬ(Q))), such space has been studied by Berezanskii and Krein. Our main result is to define the exponentially convex functions (e.c.f.) on (h.c.s.), and we will study their properties.
openaire +3 more sources
Ostrowski-Type Fractional Integral Inequalities: A Survey
This paper presents an extensive review of some recent results on fractional Ostrowski-type inequalities associated with a variety of convexities and different kinds of fractional integrals.
Muhammad Tariq +2 more
doaj +1 more source
Fermi liquid behavior in the 2D Hubbard model at low temperatures [PDF]
We prove that the weak coupling 2D Hubbard model away from half filling is a Landau Fermi liquid up to exponentially small temperatures. In particular we show that the wave function renormalization is an order 1 constant and essentially temperature ...
Benfatto, G. +2 more
core +2 more sources
: In this paper, we produce a novel framework of a subclass of convex functions that is exponentially convex functions. Moreover, it is observed that the new concept helps to build new inequalities of Petrovic’s ´ type by employing exponentially convex functions.
openaire +1 more source
On the length and area spectrum of analytic convex domains [PDF]
Area-preserving twist maps have at least two different (p, q)-periodic orbits and every (p, q)-periodic orbit has its (p, q)-periodic action for suitable couples (p, q).
Martín, Pau +2 more
core +2 more sources
Rare Event Analysis for Minimum Hellinger Distance Estimators via Large Deviation Theory
Hellinger distance has been widely used to derive objective functions that are alternatives to maximum likelihood methods. While the asymptotic distributions of these estimators have been well investigated, the probabilities of rare events induced by ...
Anand N. Vidyashankar +1 more
doaj +1 more source
This paper aims to study the bounds of k-integral operators with the Mittag-Leffler kernel in a unified form. To achieve these bounds, the definition of exponentially (α,h−m)−p-convexity is utilized frequently.
Ghulam Farid +4 more
doaj +1 more source
Generalized Petrovic’s Inequalities for Coordinated Exponentially m-Convex Functions
In this paper, we introduce a new class of convex function, which is called coordinated exponentially m-convex functions. Some new Petrovic’s type inequalities for exponentially m-convex functions and coordinated exponentially m-convex functions are ...
Wasim Iqbal +3 more
doaj
Queues with random back-offs [PDF]
We consider a broad class of queueing models with random state-dependent vacation periods, which arise in the analysis of queue-based back-off algorithms in wireless random-access networks.
Borst, Sem C. +3 more
core +4 more sources

