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Approximating Maximum Integral Multiflows on Bounded Genus Graphs
We devise the first constant-factor approximation algorithm for finding an integral multi-commodity flow of maximum total value for instances where...
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Threshold Models for Lévy Processes and Approximate Maximum Likelihood Estimation
Using the Lévy process (solution of the Ito–Skorokhod stochastic differential equation), we propose the structure of the model of a threshold process...
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The Parameterized Complexity of Maximum Betweenness Centrality
Arguably, one of the most central tasks in the area of social network analysis is to identify important members and communities of a given network....
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Maximum Principle for Stochastic Control System with Elephant Memory and Jump Diffusion
Motivated by a duopoly game problem, the authors study an optimal control problem where the system is driven by Brownian motion and Poisson point...
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Application of the Maximum Principle to Minimizing Total Production Costs
There are no common methods of the search for optimal solutions to problems of economic dynamics. Application of variational methods is possible for...
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Generalized Maximum Principles and Stochastic Completeness for Pseudo-Hermitian Manifolds
In this paper, the authors establish a generalized maximum principle for pseudo-Hermitian manifolds. As corollaries, Omori-Yau type maximum...
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Quasi-maximum likelihood estimation of long-memory linear processes
The purpose of this paper is to study the convergence of the quasi-maximum likelihood (QML) estimator for long memory linear processes. We first...
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Maximum Likelihood Estimation for Unrooted 3-Leaf Trees: An Analytic Solution for the CFN Model
Maximum likelihood estimation is among the most widely-used methods for inferring phylogenetic trees from sequence data. This paper solves the...
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On the Stability of the Maximum Term of the Dirichlet Series
AbstractWe study the behavior of the maximum term of the modified Dirichlet series (with positive exponents), the sum of which is an entire function....
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On the maximum principle for relaxed control problems of nonlinear stochastic systems
We consider optimal control problems for a system governed by a stochastic differential equation driven by a d-dimensional Brownian motion where both...
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Generalized scaling for the constrained maximum-entropy sampling problem
The best practical techniques for exact solution of instances of the constrained maximum-entropy sampling problem, a discrete-optimization problem...
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THE PATHWISE-DETERMINED MAXIMUM PRINCIPLE AND SYMMETRIC INTEGRALS
For stochastic differential equations with the Stratonovich integral and with a controlled drift, a connection is found between the stochastic...
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A family of nonlocal degenerate operators: maximum principles and related properties
We consider a class of fully nonlinear nonlocal degenerate elliptic operators which are modeled on the fractional Laplacian and converge to the...
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Maximum-Likelihood-Schätzung
In diesem Kapitel lernen wir eine grundlegende Methode kennen, um in parametrischen Modellen Schätzer für unbekannte Parameter zu konstruieren,...
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Maximum Principles for Laplacian and Fractional Laplacian with Critical Integrability
In this paper, we study the maximum principles for Laplacian and fractional Laplacian with critical integrability. We first consider the critical...
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Maximum Principle for Stochastic Control of SDEs with Measurable Drifts
In this paper, we consider stochastic optimal control of systems driven by stochastic differential equations with irregular drift coefficient. We...
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Stochastic Maximum Principle for Generalized Mean-Field Delay Control Problem
In this paper, we first derive the existence and uniqueness theorems for solutions to a class of generalized mean-field delay stochastic differential...
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Maximum Estimates for Solutions to Elliptic and Parabolic Equations on a Book-Type Stratified Set
Studying PDEs on the sets of complicated structure and, in particular, stratified sets has been gaining popularity since recently. This article...
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Graphs with maximum irregularity
The irregularity of a graph is the sum of the absolute values of the differences of degrees of pairs of adjacent vertices. In this paper, we obtain...
