Results 101 to 110 of about 7,385 (134)
Some of the next articles are maybe not open access.
Tauberian theorems concerning weighted mean summable integrals
Periodica Mathematica Hungarica, 2023Sefa Anil Sezer, Ibrahim Çanak
semanticscholar +1 more source
Weighted extremal kähler metrics on resolutions of singularities
Communications on Pure and Applied MathematicsGeneralizing previous results of Arezzo–Pacard–Singer, Seyyedali–Székelyhidi, and Hallam, we prove the invariance under smooth blowups of the class of weighted extremal Kähler manifolds, modulo a log‐concavity assumption on the first weight.
S. Boucksom +2 more
semanticscholar +1 more source
Tail recursion modulo context: An equational approach (extended version)
Journal of functional programmingThe tail recursion modulo cons transformation can rewrite functions that are not quite tail-recursive into a tail-recursive form that can be executed efficiently.
Daan Leijen, Anton Lorenzen
semanticscholar +1 more source
A Tauberian Theorem for the Power-Series Summability Method
Ukrainian Mathematical Journal, 2018Ü. Totur, Ibrahim Çanak
semanticscholar +2 more sources
Maximization of Gain/Phase Margins by PID Control
IEEE Transactions on Automatic ControlProportional-integral-derivative (PID) control has been the workhorse of control technology for about a century. Yet to this day, designing and tuning PID controllers relies mostly on either tabulated rules (Ziegler–Nichols) or on classical graphical ...
Qi Mao +4 more
semanticscholar +1 more source
General Tauberian theorems for the statistically (C,1) summable integrals
FilomatLet ? be a real-or complex-valued function that is measurable in Lebesgue?s sense on some interval (x0, ?), where x0 ? 0. It is known that the existence of ordinary limit of function ? implies the statistical limit of ? .
M. Okur, Ibrahim Çanak
semanticscholar +1 more source
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
Neural Information Processing SystemsDiffusion models have garnered widespread attention in Reinforcement Learning (RL) for their powerful expressiveness and multimodality. It has been verified that utilizing diffusion policies can significantly improve the performance of RL algorithms in ...
Shutong Ding +7 more
semanticscholar +1 more source
ON SUBSEQUENTIAL CONVERGENCE OF BOUNDED SEQUENCES
, 2015Ibrahim Çanak, Ü. Totur
semanticscholar +1 more source
Pinning Control of Weighted General Complex Dynamical Networks with Coupling Delays
IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, 2008Hongjie Li, D. Yue
semanticscholar +1 more source

