Results 1 to 10 of about 143,351 (265)
Performance Improvement of the Acrylic Acid–Polyvinyl Alcohol Gel Dosimeter with an Organic Additive for Radiation Oncology Applications [PDF]
This study reports the first preparation and characterization of an acrylic acid–glucose–polyvinyl alcohol (ACAGLPVA) polymer gel dosimeter incorporating glucose as an organic additive for radiation oncology applications.
Belal Moftah +4 more
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Enumerating Independent Linear Inferences [PDF]
A linear inference is a valid inequality of Boolean algebra in which each variable occurs at most once on each side. In this work we leverage recently developed graphical representations of linear formulae to build an implementation that is capable of more efficiently searching for switch-medial-independent inferences. We use it to find four `minimal'
Anupam Das 0002, Alex A. Rice
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Objectives. The work sets out to study the properties of the Wrońskian determinant of the system of solutions to a linear homogeneous equation in cases when the number of solutions is less than the order of the equation, comparing them with the known ...
D. A. Khrychev
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ON THE LINEAR INDEPENDENCE OF ROOTS [PDF]
A set of real nth roots that is pairwise linearly independent over the rationals must also be linearly independent. We show how this result may be extended to more general fields.
Carr, Richard, O'Sullivan, Cormac
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Independence, infinite dimension, and operators
In [Appl. Comput. Harmon. Anal., 46 (2019), 664673] O. Christensen and M. Hasannasab observed that assuming the existence of an operator T sending en to en+1 for all n ∈ ℕ (where (en)n∈ℕ is a sequence of vectors) guarantees that (en)n∈ℕ is linearly ...
Idrissi Nizar El, Kabbaj Samir
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Wronskians and Linear Independence [PDF]
We give a new and simple proof of the fact that a finite family of analytic functions has a zero Wronskian only if it is linearly dependent.
Bostan, Alin, Dumas, Philippe
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Feature Screening for High-Dimensional Variable Selection in Generalized Linear Models
The two-stage feature screening method for linear models applies dimension reduction at first stage to screen out nuisance features and dramatically reduce the dimension to a moderate size; at the second stage, penalized methods such as LASSO and SCAD ...
Jinzhu Jiang, Junfeng Shang
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SELECTION OF VARIABLES IN THE LINEAR REGRESSION WITH THE RESTRICTED RRQR ALGORITHM [PDF]
Variable selection is a contentious issue that has spawned a variety of methods for finding the optimum regression equation with the fewest parameters.
لبني الطيب
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Relations between Abs-Normal NLPs and MPCCs. Part 1: Strong Constraint Qualifications [PDF]
This work is part of an ongoing effort of comparing non-smooth optimization problems in abs-normal form to MPCCs. We study the general abs-normal NLP with equality and inequality constraints in relation to an equivalent MPCC reformulation.
Lisa C. Hegerhorst-Schultchen +2 more
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Linear Probing with Constant Independence [PDF]
Hashing with linear probing dates back to the 1950s, and is among the most studied algorithms. In recent years it has become one of the most important hash table organizations since it uses the cache of modern computers very well. Unfortunately, previous analysis rely either on complicated and space consuming hash functions, or on the unrealistic ...
Östlin Pagh, Anna +2 more
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