Results 51 to 60 of about 444 (80)
Road network emergency accessibility planning after a major earthquake
EURO Journal on Computational Optimization, 2016 In the aftermath of disasters such as major earthquakes, several roads may be blocked by rubble and the population tends to search refugee in certain gathering points of the city.
CelsoSatoshi Sakuraba +5 more
doaj +1 more source
Veterinary Dermatology, Volume 35, Issue 2, Page 197-206, April 2024.Background – Erythemato‐ceruminous otitis externa (ECOE) is frequently seen in dogs affected with an allergic skin disease, with recurrent secondary bacteria and yeast overgrowths (detected on cytological examination). Objectives – The objective of the study was to compare the efficacy and safety of an ear spray containing only hydrocortisone aceponate
Delphine Rigaut +3 more
wiley +1 more source
Equilibrium a la Cournot and Supply FunctionEquilibrium in Electricity Markets underLinear Price/Demand and Quadratic Costs [PDF]
, 2012 We present a comparison between the Cournot and the Supply Function Equilibrium models under linear price/demand, linear supply functions and quadratic ...
Bonenti F., Zuanon M.
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Performance Bounds For Co-/Sparse Box Constrained Signal Recovery
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2019 The recovery of structured signals from a few linear measurements is a central point in both compressed sensing (CS) and discrete tomography. In CS the signal structure is described by means of a low complexity model e.g. co-/sparsity.
Kuske Jan, Petra Stefania
doaj +1 more source
A fast patch-dictionary method for whole image recovery [PDF]
, 2014 Various algorithms have been proposed for dictionary learning. Among those for image processing, many use image patches to form dictionaries. This paper focuses on whole-image recovery from corrupted linear measurements.
Xu, Yangyang, Yin, Wotao
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Relative Robust Portfolio Optimization [PDF]
, 2013 Considering mean-variance portfolio problems with uncertain model parameters, we contrast the classical absolute robust optimization approach with the relative robust approach based on a maximum regret function.
Hauser, Raphael +2 more
core +1 more source
Robust One Period Option Modelling [PDF]
AMS classifications: 90C15; 90C20; 90C90; 49M29;return on investment;option pricing models;optimization;portfolio ...
Lutgens, F., Sturm, J.F.
core +1 more source
Stabilized Benders methods for large-scale combinatorial optimization, with appllication to data privacy [PDF]
, 2017 The Cell Suppression Problem (CSP) is a challenging Mixed-Integer Linear Problem arising in statistical tabular data protection. Medium sized instances of CSP involve thousands of binary variables and million of continuous variables and constraints ...
Baena, Daniel +2 more
core +1 more source
Tracking error with minimum guarantee constraints [PDF]
In recent years the popularity of indexing has greatly increased in financial markets and many different families of products have been introduced. Often these products also have a minimum guarantee in the form of a minimum rate of return at specified ...
Diana Barro, Elio Canestrelli
core
, 2017 We introduce DASC, a decomposition method akin to Stochastic Dual Dynamic Programming (SDDP) which solves some multistage stochastic optimization problems having strongly convex cost functions. Similarly to SDDP, DASC approximates cost-to-go functions by
Guigues, Vincent
core