Results 91 to 100 of about 327,788 (207)

An Improved Convergence Analysis of a Multi-Step Method with High-Efficiency Indices

Algorithms
A multi-step method introduced by Raziyeh and Masoud for solving nonlinear systems with convergence order five has been considered in this paper. The convergence of the method was studied using Taylor series expansion, which requires the function to be ...
Santhosh George, Manjusree Gopal, Samhitha Bhide, Ioannis K. Argyros   +3 more
doaj   +1 more source

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi, Sanyam Jain, Khuram Naveed, Sepanta Hosseinpour, Lise‐Lotte Kirkevang, Ali Nosrat, Ruben Pauwels   +6 more
wiley   +1 more source

Labor Market Monopsony Power and the Dynamic Gains to Openness Reforms

International Economic Review, EarlyView.
ABSTRACT We embed labor market monopsony into a dynamic heterogeneous‐firm general equilibrium model with exporting, horizontal FDI, and rich firm lifecycle dynamics. Rising marginal costs with monopsony slow and limit incumbent firm growth in response to liberalization, shifting adjustment to the extensive margin.
Priyaranjan Jha, Antonio Rodriguez‐Lopez, Adam Hal Spencer   +2 more
wiley   +1 more source

Cross‐Prudence and Optimal Prevention

International Economic Review, EarlyView.
ABSTRACT In this paper, we study optimal prevention in the presence of a correlated nonfinancial background risk. Under positive correlation, cross‐prudence in the nonfinancial attribute reduces optimal prevention. We establish this result in the most direct extension of the standard prevention problem with binary marginal distributions and show that ...
Jingyuan Li, Richard Peter, Lin Zhou
wiley   +1 more source

Fréchet differentiability of the solutions of a semilinear abstract Cauchy problem [PDF]

, 2005
Sufficient conditions are found under which the solutions z(t;q) of a semilinear abstract Cauchy problem of the form ddtz(t)=A(q)z(t)+F(q,t,z(t)) are Fréchet differentiable with respect to the parameter q. An explicit form is provided for the sensitivity
Terry Herdman, Spies, Ruben Daniel, Ruben Spies, Herdman, Terry, Spies, Ruben   +4 more
core   +1 more source

Connectivity and Selective Rural Migration

International Economic Review, EarlyView.
ABSTRACT How does infrastructure shape rural development? Using household panel data from a nationally representative sample of Chinese villages, matched to high‐resolution highway maps, we find that road expansion between 2000 and 2015 operates mainly through reallocation, with less productive farmers scaling down or exiting and more productive ...
Lin Ma, Yuan Mei, Qunfeng Wu, Mingzhi (Jimmy) Xu   +3 more
wiley   +1 more source

The approximation of the solutions of equations using approximant sequences

Journal of Numerical Analysis and Approximation Theory, 2003
We intend to characterize the convergence of a certain sequence that belongs to a subset of a Banach space towards the solution of an equation obtained by the annulment of a nonlinear mapping that is defined on this subset and that takes values in ...
Adrian Diaconu
doaj   +2 more sources

Fréchet Discrete Gradient and Hessian Operators on Infinite-Dimensional Spaces

Benefiting from the notion of Fréchet derivatives, we define Fréchet discrete operators, such as gradient and Hessian, on infinite-dimensional spaces. The Fréchet discrete gradient expands upon the concept of the discrete gradient of Gonzalez (1996) for ...
GÖKSU, Gökhan, Parisini, Thomas, Moreschini, Alessio   +2 more
core   +1 more source

I: Fréchet-Urysohn spaces [PDF]

, 2016
In this paper, we introduce the concept ss-sequentially quotient mapping. Using this concept, we characterize s-Fréchet-Urysohn spaces and s-sequential spaces.
Prakash B., B. Prakash, Renukadevi V., V. Renukadevi   +3 more
core   +2 more sources

Density‐Valued ARMA Models by Spline Mixtures

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source