1,531 research outputs found
Application of Market Models to Network Equilibrium Problems
We present a general two-side market model with divisible commodities and
price functions of participants. A general existence result on unbounded sets
is obtained from its variational inequality re-formulation. We describe an
extension of the network flow equilibrium problem with elastic demands and a
new equilibrium type model for resource allocation problems in wireless
communication networks, which appear to be particular cases of the general
market model. This enables us to obtain new existence results for these models
as some adjustments of that for the market model. Under certain additional
conditions the general market model can be reduced to a decomposable
optimization problem where the goal function is the sum of two functions and
one of them is convex separable, whereas the feasible set is the corresponding
Cartesian product. We discuss some versions of the partial linearization
method, which can be applied to these network equilibrium problems.Comment: 18 pages, 3 table
A Non-Monotone Conjugate Subgradient Type Method for Minimization of Convex Functions
We suggest a conjugate subgradient type method without any line-search for
minimization of convex non differentiable functions. Unlike the custom methods
of this class, it does not require monotone decrease of the goal function and
reduces the implementation cost of each iteration essentially. At the same
time, its step-size procedure takes into account behavior of the method along
the iteration points. Preliminary results of computational experiments confirm
efficiency of the proposed modification.Comment: 11 page
Variational Inequality Type Formulations of General Market Equilibrium Problems with Local Information
We suggest a new approach to creation of general market equilibrium models
involving economic agents with local and partial knowledge about the system and
under different restrictions. The market equilibrium problem is then formulated
as a quasi-variational inequality that enables us to establish existence
results for the model in different settings. We also describe dynamic
processes, which fall into information exchange schemes of the proposed market
model. In particular, we propose an iterative solution method for
quasi-variational inequalities, which is based on evaluations of the proper
market information only in a neighborhood of the current market state without
knowledge of the whole feasible set and prove its convergence.Comment: 22 page
Simplified Versions of the Conditional Gradient Method
We suggest simple modifications of the conditional gradient method for smooth
optimization problems, which maintain the basic convergence properties, but
reduce the implementation cost of each iteration essentially. Namely, we
propose the step-size procedure without any line-search, and inexact solution
of the direction finding subproblem. Preliminary results of computational tests
confirm efficiency of the proposed modifications.Comment: 20 page
Decentralized Multi-Agent Optimization Based on a Penalty Method
We propose a decentralized penalty method for general convex constrained
multi-agent optimization problems. Each auxiliary penalized problem is solved
approximately with a special parallel descent splitting method. The method can
be implemented in a computational network where each agent sends information
only to the nearest neighbours. Convergence of the method is established under
rather weak assumptions. We also describe a specialization of the proposed
approach to the feasibility problem.Comment: 26 page
Counter Attack on Byzantine Generals: Parameterized Model Checking of Fault-tolerant Distributed Algorithms
We introduce an automated parameterized verification method for
fault-tolerant distributed algorithms (FTDA). FTDAs are parameterized by both
the number of processes and the assumed maximum number of Byzantine faulty
processes. At the center of our technique is a parametric interval abstraction
(PIA) where the interval boundaries are arithmetic expressions over parameters.
Using PIA for both data abstraction and a new form of counter abstraction, we
reduce the parameterized problem to finite-state model checking. We demonstrate
the practical feasibility of our method by verifying several variants of the
well-known distributed algorithm by Srikanth and Toueg. Our semi-decision
procedures are complemented and motivated by an undecidability proof for FTDA
verification which holds even in the absence of interprocess communication. To
the best of our knowledge, this is the first paper to achieve parameterized
automated verification of Byzantine FTDA
Temperature dependence of the Laminar burning velocity of methanol flames
To better understand and predict the combustion behavior of methanol in engines, sound knowledge of the effect of the pressure, unburned mixture temperature, and composition on the laminar burning velocity is required. Because many of the existing experimental data for this property are compromised by the effects of flame stretch and instabilities, this study was aimed at obtaining new, accurate data for the laminar burning velocity of methanol–air mixtures. Non-stretched flames were stabilized on a perforated plate burner at 1 atm. The heat flux method was used to determine burning velocities under conditions when the net heat loss from the flame to the burner is zero. Equivalence ratios and initial temperatures of the unburned mixture ranged from 0.7 to 1.5 and from 298 to 358 K, respectively. Uncertainties of the measurements were analyzed and assessed experimentally. The overall accuracy of the burning velocities was estimated to be better than ±1 cm/s. In lean conditions, the correspondence with recent literature data was very good, whereas for rich mixtures, the deviation was larger. The present study supports the higher burning velocities at rich conditions, as predicted by several chemical kinetic mechanisms. The effects of the unburned mixture temperature on the laminar burning velocity of methanol were analyzed using the correlation uL = uL0(Tu/Tu0)α. Several published expressions for the variation of the power exponent α with the equivalence ratio were compared against the present experimental results and calculations using a detailed oxidation kinetic model. Whereas most existing expressions assume a linear decrease of α with an increasing equivalence ratio, the modeling results produce a minimum in α for slightly rich mixtures. Experimental determination of α was only possible for lean to stoichiometric mixtures and a single data point at equivalence ratio= 1.5. For these conditions, the measurement data agree with the modeling results
- …