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QUANTITY “FORCING” AND EXCLUSION:BUNDLED DISCOUNTS AND NONLINEAR PRICING
FORCING EXCLUSION BUNDLED DISCOUNTS NONLINEAR PRICING
2015/9/23
Quantity “forcing” refers to pricing schemes that reward a buyer for purchasing some threshold quantity from a firm. When there are significant scale economies and buyers are unable to coordinate, eco...
Smooth compression, Gallager bound and Nonlinear sparse-graph codes
Data compression data smoothness coding
2015/8/21
A data compression scheme is defined to be smooth if its image (the codeword) depends gracefully on the source (the data). Smoothness is a desirable property in many practical contexts, and widely use...
In this paper we discuss the question of when the Volterra series is appropriate for nonlinear circuits. We determine that the Volterra series representation is appropriate for circuits with fading me...
On maximizing a robustness measure for structured nonlinear perturbations
Nonlinear disturbance robustness robustness measure
2015/8/12
In this paper, we propose a robustness measure for LTI systems with causal, nonlinear diagonal perturbations with finite L_2-gain. We propose an algorithm to reliably compute this quantity. We show ho...
Separating a Real-Life Nonlinear Image Mixture
independent component analysis source separation nonlinear image separation document processing
2015/8/3
When acquiring an image of a paper document, the image printed on the back page sometimes shows through. The mixture of the front- and back-page images thus obtained is markedly nonlinear, and thus co...
Using Information to Improve the Effectiveness of Nonlinear Pricing: Evidence from a Field Experiment
Nonlinear Pricing Effectiveness
2015/7/31
This paper reports on the results of two field experiments examining the impact of
providing information on how a consumer’s own electricity use translates into its monthly
electricity bill on how...
Designing Minimum-Risk Nonlinear Price Schedules for Water Utilities
Water Utilities Nonlinear Price Schedules
2015/7/31
This paper formulates and estimates a household-level demand for water under increasing
block prices that accounts for the impact of monthly weather variation and customer-level
heterogeneity in d...
The object of the following is to present an account of a general system for nonlinear factor analysis, to illustrate its usefulness with the aid of a number of empirical applications and some constru...
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
slow feature analysis nonlinear blind source separation independent component analysis
2015/7/15
We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of ...
On Maximizing a Robustness Measure for Structured Nonlinear Perturbations
Maximizing Robustness Measure Structured Nonlinear Perturbations
2015/7/13
In this paper, we propose a robustness measure for LTI systems with causal, nonlinear diagonal perturbations with finite L_2-gain. We propose an algorithm to reliably compute this quantity. We show ho...
A polynomial-time algorithm for determining quadratic Lyapunov functions for nonlinear systems
polynomial-time algorithm determining quadratic Lyapunov functions nonlinear systems
2015/7/13
We consider nonlinear systems dx/dt=f(x(t)) where Df(x(t)) is known to lie in the convex hull of L n times n matrices A_1,ldots,A_L. For such systems, quadratic Lyapunov functions can be determined us...
Control Applications of Nonlinear Convex Programming
linear programming convex optimization interior-point methods robust optimal control
2015/7/10
Since 1984 there has been a concentrated effort to develop efficient interior-point methods for linear programming (LP). In the last few years researchers have begun to appreciate a very important pro...
Efficient Nonlinear Optimization of Queueing Systems
Efficient Nonlinear Optimization Queueing Systems
2015/7/10
We present a systematic treatment of efficient nonlinear optimization of queuing systems. The suite of formulations uses the computational tool of convex optimization, with fast polynomial time algori...
Nonlinear Q-Design for Convex Stochastic Control
Convex optimization nonlinear control Q-parameter stochastic control
2015/7/9
In this note we describe a version of the Q-design method that can be used to design nonlinear dynamic controllers for a discrete-time linear time-varying plant, with convex cost and constraint functi...
A Batch Means Methodology for Estimation of a Nonlinear Function of a Steady- State Mean
Simulation Output Analysis Steady-State Simulation Nonlinear Estimation Batch Means Jack- knifing
2015/7/8
We study the estimation of steady-state performance measures from an Ad-valued stochastic process Y = {Y(t): t≥0} representing the output of a simulation. In many applications, we may be interested in...