Results 311 to 320 of about 6,795,119 (352)
Aphallia in a patient with 9q34 duplication syndrome: a case report. [PDF]
Meza-Espinoza JP+9 more
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Beamforming Design for STAR-RIS-Assisted NOMA with Binary and Coupled Phase-Shifts. [PDF]
Liu Y, Wang Y, Xu W.
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Robust SAR Waveform Design for Extended Target in Spectrally Dense Environments. [PDF]
Zhang R+5 more
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A Biomimetic Flexible Sliding Suction Cup Suitable for Curved Surfaces. [PDF]
Cui E+5 more
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Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection
Computer Vision and Pattern Recognition, 2021Detecting oriented and densely packed objects remains challenging for spatial feature aliasing caused by the intersection of reception fields between objects.
Zonghao Guo+5 more
semanticscholar +1 more source
Operational Research, 1973
This note formulates a convex mathematical programming problem in which the usual definition of the feasible region is replaced by a significantly different strategy.
A. Soyster
semanticscholar +1 more source
This note formulates a convex mathematical programming problem in which the usual definition of the feasible region is replaced by a significantly different strategy.
A. Soyster
semanticscholar +1 more source
Convexity and convex sets [PDF]
The history of convexity History of convexity is rather astonishing, even paradoxical, and we explain why. On the one hand, the notion of convexity Convexity is extremely natural, so much so that we find it, for example, in works on artArt and anatomyAnatomy without it being defined.
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On the Chvátal–Gomory closure of a compact convex set
Mathematical programming, 2010In this paper, we show that the Chvátal–Gomory closure of any compact convex set is a rational polytope. This resolves an open question of Schrijver (Ann Discret Math 9:291–296, 1980) for irrational polytopes, and generalizes the same result for the case
D. Dadush, Santanu S. Dey, J. Vielma
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Convex Sets and Convex Functions [PDF]
We have encountered convex sets and convex functions on several occasions. Here we would like to discuss these notions in a more systematic way. Among nonlinear functions, the convex ones are the closest ones to the linear, in fact, functions that are convex and concave at the same time are just the linear affine functions.
Giuseppe Modica, Mariano Giaquinta
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Mathematics of Operations Research, 1998
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U.
A. Ben-Tal, A. Nemirovski
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We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U.
A. Ben-Tal, A. Nemirovski
semanticscholar +1 more source