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1

Knuth, Donald Ervin. Stable marriage and its relation to other combinatorial problems: An introduction to the mathematical analysis of algorithms. Providence, R.I: American Mathematical Society, 1997.

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2

Kaandorp, Jaap A. The Algorithmic Beauty of Seaweeds, Sponges and Corals. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.

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3

Walsh, William J. Carrier optimization launch algorithm: An optimization model to maximize the number of tactically tasked sorties under constraint restriction. Monterey, Calif: Naval Postgraduate School, 1991.

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4

Levitin, Anany, and Maria Levitin. Algorithmic Puzzles. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199740444.001.0001.

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While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures. The book's unique collection of puzzles is supplemented with carefully developed tutorials on algorithm design strategies and analysis techniques intended to walk the reader step-by-step through the various approaches to algorithmic problem solving. Mastery of these strategies--exhaustive search, backtracking, and divide-and-conquer, among others--will aid the reader in solving not only the puzzles contained in this book, but also others encountered in interviews, puzzle collections, and throughout everyday life. Each of the 150 puzzles contains hints and solutions, along with commentary on the puzzle's origins and solution methods. The only book of its kind, Algorithmic Puzzles houses puzzles for all skill levels. Readers with only middle school mathematics will develop their algorithmic problem-solving skills through puzzles at the elementary level, while seasoned puzzle solvers will enjoy the challenge of thinking through more difficult puzzles.
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5

The Algorithmic Beauty of Seaweeds, Sponges and Corals. Springer, 2001.

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6

Marghany, Maged. Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2021.

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7

Marghany, Maged. Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2019.

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8

Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2019.

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9

Marghany, Maged. Automatic Detection Algorithms of Oil Spill in Radar Images. Taylor & Francis Group, 2019.

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10

O'Kane, Mike. Web-Based Introduction to Programming: Essential Algorithms, Syntax, and Control Structures Using PHP, HTML, and MariaDB/MySQL. Carolina Academic Press, 2017.

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11

OKane, Mike. Web-Based Introduction to Programming: Essential Algorithms, Syntax, and Control Structures Using PHP, HTML, and MariaDB/MySQL. Carolina Academic Press, 2021.

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12

O'Kane, Mike. Web-Based Introduction to Programming: Essential Algorithms, Syntax, and Control Structures Using PHP, HTML, and MariaDB/MySQL. Carolina Academic Press, 2021.

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13

Nishan, Degnarain, ed. Soul of the sea in the age of algorithm: How tech startups can heal our oceans. Leete'S Island Books, 2017.

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14

O'Kane, Mike. A Web-Based Introduction to Programming: Essential Algorithms, Syntax, and Control Structures Using PHP, HTML, and MariaDB/MySQL. Carolina Academic Press, 2017.

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15

Processing of oceanographic station data. Paris: Unesco, 1991.

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16

Katirji, Bashar. Case 22. Edited by Bashar Katirji. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190603434.003.0026.

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Charcot-Marie-Tooth disease is the most common inherited neuropathy encountered in clinical practice. The disorder encompasses a large number of subtypes; most share common neurological manifestations. Charcot-Marie-Tooth disease is often subdivided into many subtypes based on pathophysiological or inheritance patterns. There are demyelinating and axonal types, as well as dominant, recessive, or X-linked forms. This case presents a typical patient with Charcot-Marie-Tooth disease and highlights the neurological findings. This is followed by emphasis on the findings seen on nerve conduction studies showing the differences between the demyelinating, axonal, and intermediate types. A list of the known genetic defects described so far is presented. A working and practical differential diagnosis and algorithm is also suggested.
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17

Richardson, Laurie L., and Ellsworth F. LeDrew. Remote Sensing of Aquatic Coastal Ecosystem Processes. Springer, 2008.

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18

(Editor), Laurie L. Richardson, and Ellsworth F. LeDrew (Editor), eds. Remote Sensing of Aquatic Coastal Ecosystem Processes: Science and Management Applications (Remote Sensing and Digital Image Processing). Springer, 2006.

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19

Richardson, Laurie L., and Ellsworth F. LeDrew. Remote Sensing of Aquatic Coastal Ecosystem Processes: Science and Management Applications. Springer, 2006.

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