Publications related to Logarithmically concave function

A Linear Programming Approach to Routing Control in Networks of Constrained Nonlinear Positive Systems with Concave Flow Rates

We consider control design for positive compartmental systems in which each compartment's outflow rate is described by a concave function of the amount of material in the compartment. We address the problem of determining the routing of material between co ...

Elsevier2016

Asymptotically Optimal Matching of Multiple Sequences to Source Distributions and Training Sequences

Jayakrishnan Unnikrishnan

Consider a finite set of sources, each producing independent identically distributed observations that follow a unique probability distribution on a finite alphabet. We study the problem of matching a finite set of observed sequences to the set of sources ...

Institute of Electrical and Electronics Engineers2015

Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

Jonathan A. Tawn, Jennifer Lynne Wadsworth

Max-stable processes arise as the only possible nontrivial limits for maxima of affinely normalized identically distributed stochastic processes, and thus form an important class of models for the extreme values of spatial processes. Until recently, infere ...

Oxford University Press2014

Safety examination of existing concrete structures using the global resistance safety factor concept

Current design procedures for structural concrete elements are based on member level (or local) safety checks, in the sense that the safety condition is evaluated at each cross-section individually. In the examination of existing structures, the exploitati ...

Elsevier2014

Distributionally Robust Joint Chance Constraints with Second-Order Moment Information

Daniel Kuhn

We develop tractable semidefinite programming based approximations for distributionally robust individual and joint chance constraints, assuming that only the first- and second-order moments as well as the support of the uncertain parameters are given. It ...

2013

Contactless deflection sensing of concave and convex shapes assisted by soft mirrors

Dario Floreano, Ramon Pericet Camara, Michal Karol Dobrzynski, Ionut Halasz

Typical deflection sensors like strain gauges or devices based on optical fibers require physical contact with the deflected substrate during the measurement process. Such contact, however, impacts on the softness of the substrate and may falsify the measu ...

2012

Derivatives with respect to metrics and applications: subgradient marching algorithm

This paper introduces a subgradient descent algorithm to compute a Riemannian metric that minimizes an energy involving geodesic distances. The heart of the method is the Subgradient Marching Algorithm to compute the derivative of the geodesic distance wit ...

Springer-Verlag2010

Griffiths Kelly Sherman correlation inequalities: a useful tool in the theory of error correcting codes

Nicolas Macris

It is shown that a correlation inequality of statistical mechanics can be applied to linear low-density parity-check codes. Thanks to this tool we prove that, under a natural assumption, the exponential growth rate of regular low-density parity-check (LDPC ...

Institute of Electrical and Electronics Engineers2007

Some Observations on Equation-based Rate Control

Jean-Yves Le Boudec, Milan Vojnovic

We consider one aspect of the general problem of unicast equation based rate control in the Internet, which we formulate as follows. When a so called ``loss-event" occurs, a data source updates its sending rate by setting it to

f(\hat{p_n})

, where $\hat{ ...

2001

Some Observations on Equation-Based Rate Control

Jean-Yves Le Boudec, Milan Vojnovic

We consider one aspect of the general problem of unicast equation based rate control in the Internet, which we formulate as follows. When a so called ``loss-event" occurs, a data source updates its sending rate by setting it to

f(\hat{p_n})

, where $\hat{ ...

2001

Logarithmically concave function

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A Linear Programming Approach to Routing Control in Networks of Constrained Nonlinear Positive Systems with Concave Flow Rates

Asymptotically Optimal Matching of Multiple Sequences to Source Distributions and Training Sequences

Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

Safety examination of existing concrete structures using the global resistance safety factor concept

Distributionally Robust Joint Chance Constraints with Second-Order Moment Information

Contactless deflection sensing of concave and convex shapes assisted by soft mirrors

Derivatives with respect to metrics and applications: subgradient marching algorithm

Griffiths Kelly Sherman correlation inequalities: a useful tool in the theory of error correcting codes

Some Observations on Equation-based Rate Control

Some Observations on Equation-Based Rate Control

A Linear Programming Approach to Routing Control in Networks of Constrained Nonlinear Positive Systems with Concave Flow Rates

Distributionally Robust Joint Chance Constraints with Second-Order Moment Information

Griffiths Kelly Sherman correlation inequalities: a useful tool in the theory of error correcting codes

Asymptotically Optimal Matching of Multiple Sequences to Source Distributions and Training Sequences

Safety examination of existing concrete structures using the global resistance safety factor concept

Contactless deflection sensing of concave and convex shapes assisted by soft mirrors

Derivatives with respect to metrics and applications: subgradient marching algorithm

Some Observations on Equation-Based Rate Control

Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

Some Observations on Equation-based Rate Control