Results 31 to 40 of about 89,388 (233)

Some Estimates for the Jump of the Derivative of the Lagrange Multiplier Function in Optimal Control Problems with Second-order State Constraints

open access: yesИзвестия Иркутского государственного университета: Серия "Математика"
The optimal control problem for a nonlinear dynamic system of a cascade type with endpoint and irregular pointwise state constraints (the so-called state constraints of depth 2) is studied.
D.Yu. Karamzin
doaj   +1 more source

Pointwise multipliers for Besov spaces of dominating mixed smoothness - II [PDF]

open access: yesScience China Mathematics, 2017
29 pages.
Nguyen, Van Kien, Sickel, Winfried
openaire   +3 more sources

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

On pointwise convergence of cone multipliers

open access: yesJournal of Functional Analysis
For $p\ge 2$, and $λ>\max\{n|\tfrac 1p-\tfrac 12|-\tfrac12, 0\}$, we prove the pointwise convergence of cone multipliers, i.e. $$ \lim_{t\to\infty}T_t^λ(f)\to f \text{ a.e.},$$ where $f\in L^p(\mathbb R^n)$ satisfies $supp\ \widehat f\subset\{ξ\in\mathbb R^n:\ 1<|ξ_n|<2\}$.
Peng Chen   +3 more
openaire   +2 more sources

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

Low rank prior in single patches for non-pointwise impulse noise removal [PDF]

open access: yes, 2015
This paper introduces a low rank prior in small oriented noise-free image patches: Considering an oriented patch as a matrix, a low-rank matrix approximation is enough to preserve the texture details in the optimally oriented patch.
Trucco, Emanuele; id_orcid   +2 more
core   +1 more source

The electoral fiscal multiplier

open access: yes, 2022
The paper argues that in electoral times, a competent and opportunistic government switches from wasteful spending (e.g. pork-barrel) to non-wasteful spending.
Carmignani, Fabrizio
core   +1 more source

Seeds of change: The impact of Ethiopia's direct seed marketing approach on smallholders' seed purchases and productivity

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen   +5 more
wiley   +1 more source

On multipliers in weighted Sobolev spaces. Part II

open access: yesҚарағанды университетінің хабаршысы. Математика сериясы, 2016
Let X, Y be Banach spaces whose elements are functions y : Ω → R. We say that a function z : Ω → R is apointwise multiplier on the pair (X, Y ), if T x = zx ∈ Y and the operator T : X → Y is bounded. M (X → Y )denotes the multiplier space on the pair (X,
A. Myrzagaliyeva
doaj  

Dynamic survival risk prediction with time‐varying high‐dimensional images

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu   +7 more
wiley   +1 more source

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