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Kleefeld, Andreas
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1

An Approach to Colour Morphological Supremum Formation Usin..:

, In: Lecture Notes in Computer Science; Discrete Geometry and Mathematical Morphology,
Kahra, Marvin ; Breuß, Michael ; Kleefeld, Andreas. - p. 325-337 , 2024
Link: https://doi.org/10.1007/..
 
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2

Analysis of the transmission eigenvalue problem with two co..:

Ceja Ayala, Rafael ; Harris, Isaac ; Kleefeld, Andreas.
Applicable Analysis.  103 (2023)  1 - p. 211-239 , 2023
Link: https://doi.org/10.1080/..
 
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3

Detecting and approximating decision boundaries in low-dime..:

Grajewski, Matthias ; Kleefeld, Andreas
Numerical Algorithms.  95 (2023)  4 - p. 1503-1537 , 2023
Link: https://doi.org/10.1007/..
 
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4

Towards Topological Analysis of Non-symmetric Tensor Fields..:

, In: Lecture Notes in Computer Science; Discrete Geometry and Mathematical Morphology,
Burgeth, Bernhard ; Kleefeld, Andreas ; Zhang, Eugene. - p. 48-59 , 2022
Link: https://doi.org/10.1007/..
 
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5

The hot spots conjecture can be false: some numerical examp..:

Kleefeld, Andreas
Advances in Computational Mathematics.  47 (2021)  6 - p. , 2021
Link: https://doi.org/10.1007/..
 
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6

The method of fundamental solutions for computing interior ..:

Pieronek, Lukas , 2020
Link: https://nbn-resolving.de..
 
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7

New Numerical Results for the Optimization of Neumann Eigen..:

, In: Computational and Analytic Methods in Science and Engineering,
Abele, Daniel ; Kleefeld, Andreas - p. 1-20 , 2020
Link: https://doi.org/10.1007/..
 
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8

Implicit Monotone Difference Methods for Scalar Conservatio..:

Breuß, Michael ; Kleefeld, Andreas
Acta Mathematica Vietnamica.  45 (2020)  3 - p. 709-738 , 2020
Link: https://doi.org/10.1007/..
 
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9

Editorial — Special Issue: ISMM 2019:

Burgeth, Bernhard ; Kleefeld, Andreas ; Naegel, Benoît.
Mathematical Morphology - Theory and Applications.  4 (2020)  1 - p. 159-161 , 2020
Link: https://doi.org/10.1515/..
 
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10

Numerical Calculation of Interior Transmission Eigenvalues ..:

, In: Computational and Analytic Methods in Science and Engineering,
Kleefeld, Andreas ; Liu, Jijun - p. 173-195 , 2020
Link: https://doi.org/10.1007/..
 
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11

The Method of Fundamental Solutions for Computing Interior ..:

, In: Integral Methods in Science and Engineering,
Pieronek, Lukas ; Kleefeld, Andreas - p. 353-365 , 2019
Link: https://doi.org/10.1007/..
 
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12

Mathematical Morphology and Its Applications to Signal and .. 

Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11564
Burgeth, Bernhard ; Kleefeld, Andreas ; Naegel, Benoît.. - 1st ed. 2019 . , 2019
Link: https://doi.org/10.1007/..
 
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13

A Unified Approach to the Processing of Hyperspectral Image:

, In: Lecture Notes in Computer Science; Mathematical Morphology and Its Applications to Signal and Image Processing,
Burgeth, Bernhard ; Didas, Stephan ; Kleefeld, Andreas - p. 202-214 , 2019
Link: https://doi.org/10.1007/..
 
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14

Shape Optimization for Interior Neumann and Transmission Ei..:

, In: Integral Methods in Science and Engineering,
Kleefeld, Andreas - p. 185-196 , 2019
Link: https://doi.org/10.1007/..
 
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15

Analysis of new direct sampling indicators for far-field me..:

Harris, Isaac ; Kleefeld, Andreas
Inverse Problems.  35 (2019)  5 - p. 054002 , 2019
Link: https://doi.org/10.1088/..
 
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