Results 31 to 40 of about 4,697,654 (286)
Optimal Bunching without Optimal Control [PDF]
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Nöldeke, Georg, Larry Samuelson
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Optimal Pricing for Optimal Transport [PDF]
Suppose that $c(x,y)$ is the cost of transporting a unit of mass from $x\in X$ to $y\in Y$ and suppose that a mass distribution $ $ on $X$ is transported optimally (so that the total cost of transportation is minimal) to the mass distribution $ $ on $Y$.
Bartz, Sedi, Reich, Simeon
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Re-design of microwave passive components for the assumed operating frequencies or substrate parameters is an important yet a tedious process. It requires simultaneous tuning of relevant circuit variables, often over broad ranges thereof, to ensure ...
Slawomir Koziel +1 more
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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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A Practical Guide to Robust Optimization [PDF]
Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored to the information at hand, and it leads to computationally tractable ...
Gorissen, Bram L. +2 more
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Development of spatially variant photonic crystals to control light in the near-infrared spectrum
Spatially Variant Photonic Crystals (SVPCs) have shown the ability to control the propagation and direction of light in the near-infrared spectrum. Using a novel approach for simplified modeling and fabrication techniques, we designed unique, spatially ...
Andrew Volk +5 more
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In the process of heavy oil thermal recovery using SAGD (Steam⁃Assisted Gravity Drainage) technology, conventional thermal recovery boilers are mainly used for heat generation.
Tao LIN +4 more
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A subexponential-time, polynomial quantum space algorithm for inverting the CM group action
We present a quantum algorithm which computes group action inverses of the complex multiplication group action on isogenous ordinary elliptic curves, using subexponential time, but only polynomial quantum space.
Jao David +3 more
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Control Interpretations for First-Order Optimization Methods
First-order iterative optimization methods play a fundamental role in large scale optimization and machine learning. This paper presents control interpretations for such optimization methods.
Hu, Bin, Lessard, Laurent
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Control vector parameterization with sensitivity based refinement applied to baking optimization [PDF]
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
core +3 more sources

