Results 111 to 120 of about 10,817,835 (359)
Generating irregular fractals based on iterated function systems
The iterated function system (IFS) is important in different fields like image compression. An important feature of such systems is that they can be used to generate fractals.
Baoxing Zhang+2 more
doaj +1 more source
The iterative complex demodulation applied on short and long Schumann resonance measured sequences
The precise determination of instantaneous frequency of Schumann resonance (SR) modes, with the possibility of application to relatively short signal sequences, seems to be important for detailed analysis of SR modal frequency variations.
Adriena ONDRÁŠKOVÁ+1 more
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Invariant sets under iteration of rational functions [PDF]
Hans Brolin
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Iterated Reduced Cluster Functions [PDF]
Given a multifunction $F$ between topological spaces $X$ and $Y$, the reduced cluster function $C^r(F;\cdot): X \rightarrow 2^Y$ of $F$ is defined by $C^r(F;x)=\bigcap$ cl$(F(U\setminus \{x\}))$ running through the neighborhood system of $x$. By transfinite recursion, one defines iterated reduced cluster functions $C^{r,\alpha}(F;\cdot)$ for all ...
openaire +2 more sources
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
Weak θ-contractions and some fixed point results with applications to fractal theory
In this paper, we define weak θ-contractions on a metric space into itself by extending θ-contractions introduced by Jleli and Samet (J. Inequal. Appl.
Mohammad Imdad+2 more
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The Use of Rational Functions in the Iterative Solution of Equations on a Digital Computer [PDF]
P. Jarratt, D. Nudds
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Iteration of exponential functions [PDF]
P.J. Rippon, I. N. Baker
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The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam+2 more
wiley +1 more source