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Fixed-Time Anti-Disturbance Average-Tracking for Multi-Agent Systems Without Velocity Measurements
In this paper, the authors tackle a fixed-time average-tracking problem for multi-agent systems which do not require velocity measurements and are...
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Average Characteristic Polynomials
The recurrence relations of average characteristic polynomials whose roots describe the average behavior of the eigenvalues are determined for the...
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An average-compress algorithm for the sample mean problem under dynamic time war**
Computing a sample mean of time series under dynamic time war** is NP-hard. Consequently, there is an ongoing research effort to devise efficient...
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Optimization of Wi-Fi Direct average time to discovery: a global channel randomization approach
The main objective of this work is to propose concrete time reduction strategies for discovery of Wi-Fi Direct in Android. To achieve our goals, we...
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Average leaf depth
The average leaf depth is simply a normalized version of the Sackin index (Chapter 5).
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About the Methods of Extracting a Biological Resource That Provide the Maximum Average Time Benefit
AbstractModels of structured populations consisting of individual species or divided into age groups are considered. One example is fishing for...
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Halting Time is Predictable for Large Models: A Universality Property and Average-Case Analysis
Average-case analysis computes the complexity of an algorithm averaged over all possible inputs. Compared to worst-case analysis, it is more...
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Stochastic average model methods
We consider the solution of finite-sum minimization problems, such as those appearing in nonlinear least-squares or general empirical risk...
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Sliced Average Variance Estimation for Tensor Data
Tensor data have been widely used in many fields, e.g., modern biomedical imaging, chemometrics, and economics, but often suffer from some common...
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A Novel Hybrid Model for Time Series Forecasting Using Artificial Neural Network and Autoregressive Integrated Moving Average Models
Enhancing forecast accuracy while using time series is a potential area of research. Evidences exist in the literature to show that hybrid models can...
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Average block column action methods for solving least squares problems
The column action methods of algebraic iterative techniques play a pivotal role in the image reconstruction process. These methods converge to a...
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Tracking Nonstationary Streaming Data via Exponentially Weighted Moving Average Stochastic Gradient Descent
In many applications involving data streams, the sequences of data arise from highly dynamic and often unstable real-life processes, rendering...
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Computing the Number and Average Size of Connected Sets in Planar 3-Trees
A vertex set in a graph is a connected set if it induces a connected subgraph. For a tree T , each subgraph induced by a connected set of T is...
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Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model
This paper defines the unit Burr XII autoregressive moving average (UBXII-ARMA) model for continuous random variables in the unit interval, where any...
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Average Tree Solution in Multi-Agent Systems with Network Structure
AbstractMethods of differential games are used to find the optimal solution in a multi-agent system with a network structure. A class of differential...
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Average criteria in denumerable semi-Markov decision chains under risk-aversion
This note concerns with semi-Markov decision chains evolving on a denumerable state space. The system is directed by a risk-averse controller with...
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Asymptotics of Average Case Approximation Complexity for Tensor Products of Euler Integrated Processes
Random fields that are tensor products of d Euler integrated processes are considered. The average case approximation complexity for a given random...
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Average curvature FISTA for nonconvex smooth composite optimization problems
A previous authors’ paper introduces an accelerated composite gradient (ACG) variant, namely AC-ACG, for solving nonconvex smooth composite...
