Results 71 to 80 of about 9,423 (265)
Fixed-Point Theorems for Fuzzy Mappings
Since the 1970s and 1980s, significant contributions have been made by Weiss, Butnariu, Heilpern, Chitra, Subrahmanyam, and others, extending fixed-point theorems to fuzzy mappings and topological spaces.
Allan Edley Ramos de Andrade +1 more
doaj +1 more source
Let \((X,d)\) be a bounded metric space and \(T:X\to \text{CB} (X)\) a set-valued mapping. Let \(O(x)\) be the orbit of \(x\) by the mapping \(T\) and let \(\delta(A,B)\) be the diameter of the pair \(A,B\subset X\). The author gives some strict fixed point theorems for some set-valued mappings which satisfy the following condition \[ \delta (Tx,Ty ...
openaire +2 more sources
A NOTE ON BRØNDSTED’S FIXED POINT THEOREM
AbstractWe show that for the case of uniformly convex Banach spaces, the conditions of Brøndsted’s fixed point theorem can be relaxed.
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An exciting Approach to Theoretical Spectroscopy
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno +29 more
wiley +1 more source
Fixed points, intersection theorems, variational inequalities, and equilibrium theorems
From a fixed point theorem for compact acyclic maps defined on admissible convex sets in the sense of Klee, we first deduce collectively fixed point theorems, intersection theorems for sets with convex sections, and quasi-equilibrium theorems.
Sehie Park
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O'Neill, B., Straus, E. G.
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An Interval fixed-point theorem.
In this paper we will present an interval version to the Fixed Point Theorem. Such theorem offers a practical method (the 'sucessive ap proximations method') which serves to the interval fixed point equa tion root compute. We will also present a criterion that allows to de fine easily ~theinterval semi-plain regions which can hold such roots.
Oliveira, Paulo Werlang de +1 more
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Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Common fixed point theorems for compatible mappings
By using a compatibility condition due to Jungck we establish some common fixed point theorems for four mappings on complete and compact metric spaces These results also generalize a theorem of Sharma and Sahu.
Kenan Taş +2 more
doaj +1 more source

