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1

1934-, Zobrist George W., ed. Routing, placement, and partitioning. Ablex, 1994.

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2

Center, Langley Research, ed. Approximate algorithms for partitioning and assignment problems. National Aeronautics and Space Administration, Langley Research Center, 1986.

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3

Walshaw, C. Parallel optimisation algorithms for multilevel mesh partitioning. CMS Press, 1999.

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4

S, Lueker George, ed. Probabilistic analysis of packing and partitioning algorithms. Wiley, 1991.

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5

S, Agaian S., ed. Multidimensional discrete unitary transforms: Representation, partitioning, and algorithms. Marcel Dekker, 2003.

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6

Schwartz, Victor Scott. Dynamic platform-independent meta-algorithms for graph-partitioning. Naval Postgraduate School, 1998.

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7

H, Bohkari Shahid, and Langley Research Center, eds. Efficient algorithms for a class of partitioning problems. National Aeronautics and Space Administration, Langley Research Center, 1990.

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8

United States. National Aeronautics and Space Administration., ed. Parallel algorithms for placement and routing in VLSI design. [University of Illinois at Urbana-Champaign, 1991.

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9

Tang, Xiaowei. Thre e extensions to force-directed placement for general graphs. University College Dublin, 1998.

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10

El-Darzi, Elia. Methods for solving the set covering and set partitioning problems using graph theoretic (relaxation) algorithms. Brunel University, 1988.

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11

Bader, David A., 1969- editor of compilation, Meyerhenke, Henning, 1978- editor of compilation, Sanders, Peter, editor of compilation, and Wagner, Dorothea, 1957- editor of compilation, eds. Graph partitioning and graph clustering: 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA. American Mathematical Society, 2013.

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12

Bahoshy, N. M. Parallelization of algorithms by explicit partitioning. 1993.

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13

Dynamic Platform-Independent Meta-Algorithms for Graph-Partitioning. Storming Media, 1998.

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14

Grigoryan, Artyom M., and Sos S. Agaian. Multidimensional Discrete Unitary Transforms : Representation: Partitioning, and Algorithms. Taylor & Francis Group, 2003.

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15

F, Pierce John. Partitioning Algorithms for a Class of Knapsack Problems. Creative Media Partners, LLC, 2015.

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16

Grigoryan, Artyom M., and Sos S. Agaian. Multidimensional Discrete Unitary Transforms : Representation: Partitioning, and Algorithms. Taylor & Francis Group, 2003.

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17

Aradau, Claudia, and Tobias Blanke. Algorithmic Reason. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192859624.001.0001.

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Are algorithms ruling the world today? Is artificial intelligence making life-and-death decisions? Are social media companies able to manipulate elections? As we are confronted with public and academic anxieties about unprecedented changes, this book offers a different analytical prism to investigate these transformations as more mundane and fraught. Aradau and Blanke develop conceptual and methodological tools to understand how algorithmic operations shape the government of self and other. While disperse and messy, these operations are held together by an ascendant algorithmic reason. Through
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Aspden, Richard, and Jenny Gregory. Morphology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0011.

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The study of joint morphology can help us to understand the risk factors for osteoarthritis (OA), how it progresses, and aids in developing imaging biomarkers for study of the disease. OA results in gross structural changes in affected joints. Growth of osteophytes, deformation of joint components, and loss of joint space where cartilage has broken down are all characteristics of the disorder. Certain bone shapes as well as malalignment predispose people to future OA, or may be a marker for early OA. Geometrical measures, such as the alpha angle or Wiberg’s CE angle, used to be the primary too
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