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A Multistage Mosquito-Centred Mathematical Model for Malaria Dynamics that Captures Mosquito Gonotrophic Cycle Contributions to Its Population Abundance and Malaria Transmission
A mathematical model for malaria transmission dynamics involving variable mosquito populations is developed and analysed. The model, which comprises...
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The Problem of Deformations of a Singular String with a Nonlinear Boundary Condition
AbstractWe study by variational methods a two-dimensional model of deformations of a Stieltjes string having localized interactions with the...
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Teamwise Mean Field Competitions
This paper studies competitions with rank-based reward among a large number of teams. Within each sizable team, we consider a mean-field contribution...
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Second-order finite difference approximation for a nonlinear size-structured population model with an indefinite growth rate coupled with the environment
In this article we develop a second-order high resolution finite difference method for a general size-structured population model coupled with...
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A note on the uniform asymptotic behavior of the finite-time ruin probability in a nonstandard renewal risk model
Consider a nonstandard renewal risk model in which claims and interarrival times form a sequence of independent and identically distributed random...
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Mathematical Modeling of Different Breakage PBE Kernels Using Monte Carlo Simulation Results
This chapter discusses the development of some breakage PBE kernels. Three different types of breakage processes are considered, namely linear...
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Machine Learning for Finding Suboptimal Final Times and Coherent and Incoherent Controls for an Open Two-Level Quantum System
AbstractThis work considers an open two-level quantum system evolving under coherent and incoherent piecewise constant controls constrained in their...
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Sparse Multi-Reference Alignment: Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem
Motivated by cutting-edge applications like cryo-electron microscopy (cryo-EM), the Multi-Reference Alignment (MRA) model entails the learning of an...
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Cycle Lengths in Expanding Graphs
For a positive constant α a graph G on n vertices is called an α-expander if every vertex set U of size at most n /2 has an external neighborhood...
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Inertial self-adaptive Bregman projection method for finite family of variational inequality problems in reflexive Banach spaces
This paper considers an iterative approximation of a common solution of a finite family of variational inequailties in a real reflexive Banach space....
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Graph Density and Uncertainty of Graphical Model Selection Algorithms
Graphical models became a popular tool in machine learning and data analysis. Graphical Model Selection Problem is a problem to recover a specific...
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Characterization of Riordan Arrays by Special Sequences
As already describedSpecial sequences in the previous chapters, the concept of a Riordan array was introduced in 1991 by Shapiro, Getu, Woan and...
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Dependence Relation and Removable Classes
Deletions and contractions of edges are two common inductive tools in graph theory. For example, the famous theorem of Kuratowski states that a graph...
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Dependence Classes in Bricks
We continue our study of dependence classes in matching covered graphs. But here our attention is mainly devoted to bricks. We have seen that, in...
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Convergence of clusters
When a regularly varying stationary time series is extremally dependent, then the exceedences over high levels will tend to happen in clusters. From...
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The polynomial method over varieties
We establish sharp estimates that adapt the polynomial method to arbitrary varieties. These include a partitioning theorem, estimates on polynomials...
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Forecasting and Modeling the Dynamics of Large-Scale Energy Networks Under the Supply and Demand Balance Constraint
With the emergence of “Big Data” the analysis of large data sets of high-dimensional energy time series in network structures have become feasible....