Results 1 to 10 of about 4,490,055 (86)
Optimising the laser-welded butt-joints of medium carbon steel using RSM [PDF]
, 2005 The optimization capabilities in design-expert software were used to optimise the keyhole parameters (i.e. maximize penetration (P) and minimise the heat input, width of welded zone, (W) and width of heat affected zone (WHAZ)) in CW CO2 laser butt ...
Benyounis, Khaled +2 more
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Learning-based ship design optimization approach [PDF]
, 2012 With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process.
Cui, Hao, Sayer, Philip, Turan, Osman
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Optimization of a Centrifugal Compressor Using the Design of Experiment Technique [PDF]
, 2019 Centrifugal compressor performance is affected by many parameters, optimization of which can lead to superior designs. Recognizing the most important parameters affecting performance helps to reduce the optimization process cost.
Aungier, Mason, Mojaddam
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Control vector parameterization with sensitivity based refinement applied to baking optimization [PDF]
, 2007 In bakery production, product quality attributes as crispness, brownness, crumb and water content are developed by the transformations that occur during baking and which are initiated by heating. A quality driven procedure requires process optimization
Boom, R.M. +4 more
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Wiring optimization explanation in neuroscience: What is Special about it? [PDF]
, 2019 This paper examines the explanatory distinctness of wiring optimization models in neuroscience. Wiring optimization models aim to represent the organizational features of neural and brain systems as optimal (or near-optimal) solutions to wiring ...
Barberis, Sergio Daniel
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Oracle-Based Robust Optimization via Online Learning [PDF]
, 2014 Robust optimization is a common framework in optimization under uncertainty when the problem parameters are not known, but it is rather known that the parameters belong to some given uncertainty set.
Ben-Tal, Aharon +3 more
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, 2002 Krentel [J. Comput. System. Sci., 36, pp.490--509] presented a framework for an NP optimization problem that searches an optimal value among exponentially-many outcomes of polynomial-time computations.
C. H. Bennett +14 more
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Randomized Smoothing for Stochastic Optimization
, 2012 We analyze convergence rates of stochastic optimization procedures for non-smooth convex optimization problems. By combining randomized smoothing techniques with accelerated gradient methods, we obtain convergence rates of stochastic optimization ...
Bartlett, Peter L. +2 more
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, 2017 Numerical simulation of complex optical structures enables their optimization with respect to specific objectives. Often, optimization is done by multiple successive parameter scans, which are time consuming and computationally expensive.
Burger, S. +3 more
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Strong Equivalence of Qualitative Optimization Problems [PDF]
, 2012 We introduce the framework of qualitative optimization problems (or, simply, optimization problems) to represent preference theories. The formalism uses separate modules to describe the space of outcomes to be compared (the generator) and the preferences
Faber, Wolfgang +2 more
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