Results 51 to 60 of about 1,461 (185)

Derivatives of orbital function and an extension of Berezin-Gel’fand’s theorem

open access: yesSpecial Matrices, 2016
A generalization of a result of Berezin and Gel’fand in the context of Eaton triples is given. The generalization and its proof are Lie-theoretic free and requires some basic knowledge of nonsmooth analysis.
Tam Tin-Yau, Hill William C.
doaj   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 1579-1600, July 2026.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann   +2 more
wiley   +1 more source

Two solutions for fractional p-Laplacian inclusions under nonresonance

open access: yesElectronic Journal of Differential Equations, 2018
We study a pseudo-differential inclusion driven by the fractional p-Laplacian operator and involving a nonsmooth potential, which satisfies nonresonance conditions both at the origin and at infinity.
Antonio Iannizzotto   +2 more
doaj  

Binary choice under asymmetric loss in a data‐rich environment: Theory and an application to algorithmic fairness

open access: yesQuantitative Economics, Volume 17, Issue 3, Page 623-669, July 2026.
We study the binary choice problem in a data‐rich environment with asymmetric loss functions. The econometrics literature covers nonparametric binary choice problems but does not offer computationally attractive solutions in data‐rich environments. The machine learning literature has many algorithms but is focused mostly on loss functions that are ...
Andrii Babii   +3 more
wiley   +1 more source

Generalized Convexity via Clarke Subdifferential of Interval Mappings and Its Optimization Applications

open access: yesAxioms
Clarke subdifferential and directional derivative theories are well developed for real functions. However, the nonsmooth analysis framework for interval mappings is still incomplete.
Shexiang Hai, Yanmei Zhang
doaj   +1 more source

Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis

open access: yesIEEE Access, 2019
Linearized alternating direction method of multipliers (ADMM) as an extension of ADMM has been widely used to solve linearly constrained problems in signal processing, machine learning, communications, and many other fields.
Qinghua Liu, Xinyue Shen, Yuantao Gu
doaj   +1 more source

Nonsmooth analysis on smooth manifolds [PDF]

open access: yesTransactions of the American Mathematical Society, 2007
We study infinitesimal properties of nonsmooth (nondifferentiable) functions on smooth manifolds. The eigenvalue function of a matrix on the manifold of symmetric matrices gives a natural example of such a nonsmooth function. A subdifferential calculus for lower semicontinuous functions is developed here for studying constrained optimization problems ...
Ledyaev, Yu. S., Zhu, Qiji J.
openaire   +2 more sources

A general theory of inverse welfare functions

open access: yesTheoretical Economics, Volume 21, Issue 3, Page 973-1018, July 2026.
This paper develops a general theory to recover the inverse welfare function that rationalizes a given tax schedule as optimal. Our theory allows for complex environments including the presence of multidimensional tax schedules, bunching/jumping behavior, optimization frictions, general equilibrium effects, and externalities.
Katy Bergstrom, William Dodds
wiley   +1 more source

Systems of differential inclusions with competing operators and variable exponents [PDF]

open access: yesOpuscula Mathematica
In this paper, we study a system of differential inclusions with Dirichlet boundary condition, involving competing operators and variable exponents. More precisely, we investigate the existence of both generalized solutions and weak solutions to the ...
Francesca Vetro, Rakib Efendiev
doaj   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

open access: yesBiotechnology and Bioengineering, Volume 123, Issue 6, Page 1417-1431, June 2026.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz   +3 more
wiley   +1 more source

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