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1

Chowdhury, Sujaul, and Urmi Talukder. Numerical Exploration of Isolated GaAs-AlGaAs Quantum Well. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53816-2.

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Chowdhury, Sujaul, and Abdullah Al Sakib. Numerical Exploration of Fourier Transform and Fourier Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-34664-4.

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3

Keavey, M. A. Numerical methods in aerospace: Civil aviation and space exploration. Emerald Group, 2004.

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4

author, Webster Micah D., ed. Differential equations with MATLAB: Exploration, applications, and theory. CRC Press, Taylor & Francis Group, 2015.

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5

Whyatt, J. K. Numerical exploration of shear-fracture-related rock bursts using a strain-softening constitutive law. U.S. Dept. of the Interior, Bureau of Mines, 1991.

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6

Javier, Cabrera, ed. Exploration and analysis of DNA microarray and protein array data. John Wiley, 2004.

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7

Nusse, Helena E., James A. Yorke, and Eric J. Kostelich. Dynamics: Numerical Explorations. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4684-0231-5.

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8

Nusse, Helena E., James A. Yorke, Brian R. Hunt, and Eric J. Kostelich. Dynamics: Numerical Explorations. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0219-6.

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9

Nusse, Helena Engelina. Dynamics: Numerical explorations. Springer-Verlag, 1994.

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10

A, Yorke James, ed. Dynamics: Numerical explorations. 2nd ed. Springer, 1998.

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11

Banff International Research Station for Mathematics Innovation & Discovery, ed. Mathematical foundations of scientific visualization, computer graphics, and massive data exploration. Springer, 2009.

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12

Armin, Iske, and Randen Trygve, eds. Mathematical methods and modelling in hydrocarbon exploration and production. Springer, 2005.

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13

Jacobs, Horace. Numerical/chronological/author index 1979-1985/86: An index of publications of the American Astronautical Society, Advances in the astronautical sciences, Science and technology series, and other AAS publications. Univelt, 1987.

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14

Wildi, O. Numerical Exploration of Community Patterns. Balogh Scientific Books, 1990.

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15

Talukder, Urmi. Numerical Exploration of Isolated Gaas-AlGaAs Quantum Well. Springer, 2024.

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16

Keavey, Mike. Numerical Methods in Aerospace: Civil Aviation and Space Exploration. Emerald Publishing Limited, 2004.

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17

Margrave, Gary F., and Michael P. Lamoureux. Numerical Methods of Exploration Seismology: With Algorithms in MATLAB. Cambridge University Press, 2019.

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18

Margrave, Gary F., and Michael P. Lamoureux. Numerical Methods of Exploration Seismology: With Algorithms in MATLAB®. Cambridge University Press, 2018.

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19

McKibben, Mark, and Micah D. Webster. Differential Equations with MATLAB: Exploration, Applications, and Theory. Taylor & Francis Group, 2014.

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20

McKibben, Mark, and Micah D. Webster. Differential Equations with MATLAB: Exploration, Applications, and Theory. Taylor & Francis Group, 2014.

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21

McKibben, Mark, and Micah D. Webster. Differential Equations with MATLAB: Exploration, Applications, and Theory. Taylor & Francis Group, 2014.

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22

McKibben, Mark, and Micah D. Webster. Differential Equations with MATLAB: Exploration, Applications, and Theory. Taylor & Francis Group, 2014.

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23

Sakib, Abdullah Al. Numerical Exploration of Fourier Transform and Fourier Series: The Power Spectrum of Driven Damped Oscillators. Springer, 2023.

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24

Keavey, Mike. Numerical Methods in Aerospace: Civil Aviation and Space Exploration. the International Journal of Numerical Methods for Heat and Fluid Flow, Volume 14, Issue 4. Emerald Publishing Limited, 2004.

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25

Yorke, James A., and Helena E. Nusse. Dynamics: Numerical Explorations. Springer, 2011.

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26

Iske, Armin, various, and Trygve Randen. Mathematical Methods and Modelling in Hydrocarbon Exploration and Production. Springer, 2010.

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27

Mathematical Methods and Modelling in Hydrocarbon Exploration and Production. Springer London, Limited, 2006.

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28

Lambers, James V., and Amber C. Sumner. Explorations in Numerical Analysis. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/10446.

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29

Lambers, James V., Amber Sumner Mooney, and Vivian A. Montiforte. Explorations in Numerical Analysis. WORLD SCIENTIFIC, 2021. http://dx.doi.org/10.1142/12031.

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30

Lambers, James V. Explorations in Numerical Analysis. World Scientific Publishing Co Pte Ltd, 2018.

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31

Explorations in Numerical Analysis. World Scientific Publishing Co Pte Ltd, 2018.

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32

Yorke, James A., Helena E. Nusse, B. C. Hunt, and E. J. Kostelich. Dynamics: Numerical Explorations (Applied Mathematical Sciences). Springer, 1997.

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33

Lambers, James V. Explorations in Numerical Analysis: Python Edition. World Scientific Publishing Co Pte Ltd, 2021.

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34

Lambers, James V., Amber C. Sumner, and Vivian A. Montiforte. Explorations in Numerical Analysis: Python Edition. World Scientific Publishing Company, 2021.

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35

Kostelich, E. J., James A. Yorke, and Helena E. Nusse. Dynamics : Numerical Explorations: Accompanying Computer Program Dynamics. Springer, 2012.

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36

Yorke, James A., Helen Engelina Nusse, and Helena Engelina Nusse. Dynamics: Numerical Explorations (Applied Mathematical Sciences, Vol 101). Springer-Verlag, 1994.

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37

Dynamics: Numerical Explorations (Applied Mathematical Sciences, Vol 101). Springer, 1994.

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38

Jacobs, Horace, and Robert H. Jacobs. Numerical/Chronological/Author Index 1979-1985/86: An Index of Publications of the American Astronautical Society (Science and Technology Series). Amer Astronautical Society, 1987.

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39

Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining. River Publishers, 2023.

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40

Amolochitis, Emmanouil. Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining. River Publishers, 2022.

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41

Amolochitis, Emmanouil. Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining. River Publishers, 2022.

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42

Amolochitis, Emmanouil. Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining. River Publishers, 2018.

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43

Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining. River Publishers, 2018.

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44

Boudreau, Joseph F., and Eric S. Swanson. Quantum mechanics I–few body systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0021.

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Several techniques for obtaining the eigenspectrum and scattering properties of one- and two-body quantum systems are presented. More unusual topics, such as solving the Schrödinger equation in momentum space or implementing relativistic kinematics, are also addressed. A novel quantum Monte Carlo technique that leverages the similarity between path integrals and random walks is developed. An exploration of the method for simple problems is followed by a survey of methods to obtain ground state matrix elements. A review of scattering theory follows. The momentum space T-matrix formalism for scattering is introduced and an efficient numerical method for solving the relevant equations is presented. Finally, the method is extended to the coupled channel scattering problem.
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45

Calculus Explorations Powered By Technology: Tales Of History And Imagination: By Glen Van Brummelen And Michael Caraco: Used with ...Ostebee-Calculus ... Numerical, and Symbolic Points of View. 2nd ed. Houghton Mifflin Company, 2001.

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46

Cruickshank, Steven. Mathematical models and anaesthesia. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0027.

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The use of mathematics in medicine is not as widespread as it might be. While professional engineers are instructed in a wide variety of mathematical techniques during their training in preparation for their daily practice, tradition and the demands of other subjects mean that doctors give little attention to numerical matters in their education. A smattering of statistical concepts is typically the main mathematical field that we apply to medicine. The concept of the mathematical model is important and indeed familiar; personal finance, route planning, home decorating, and domestic projects all require the application of the basic mathematical tools we acquire at school. This utility is why we learn them. The insight that can be gained by applying mathematics to physiological and other problems within medical practice is, however, underexploited. The undoubted complexity of human biology and pathology perhaps leads us to give up too soon. There are useful and practical lessons that can be learned from the use of elementary mathematics in medicine. Anaesthetic training in particular lends itself to such learning with its emphasis on physics and clinical measurement. Much can be achieved with simple linear functions and hyperbolas. Further exploration into exponential and sinusoidal functions, although a little more challenging, is well within our scope and enables us to cope with many time-dependent and oscillatory phenomena that are important in clinical anaesthetic practice. Some fundamental physiological relationships are explained in this chapter using elementary mathematical functions. Building further on the foundation of simple models to cope with more complexity enables us to see the process, examine the predictions, and, most importantly, assess the plausibility of these models in practice. Understanding the structure of the model enables intelligent interpretation of its output. Some may be inspired to investigate some of the mathematical concepts and their applications further. The rewards can be intellectually, aesthetically, and practically fruitful. The subtle, revelatory, and quite beautiful connection between exponential and trigonometric functions through the concept of complex numbers is one example. That this connection has widespread practical importance too is most pleasing.
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47

Baggett, Hannah Carson, and Carey E. Andrzejewski. Grammar of School Discipline. Lexington Books, 2021. https://doi.org/10.5040/9781978733978.

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The Grammar of School Discipline examines how seemingly discrete school discipline policies and practices constitute a particular grammar: Removal, Resistance and Reform. Weaving numeric data with portraits of students and school practitioners, the authors detail a nuanced landscape of school discipline in Alabama and its anti-Black foundations. The removal of Black students can be traced to the antebellum construction of Blackness as criminal, deviant, and deserving of punishment. A focus on resistance centers the agency that students and practitioners exercise despite anti-Black removal. An exploration of specific reform efforts emphasizes that even the most well-intentioned and well-organized reforms are limited when the removal of students remains an option for practitioners. The authors end with an appeal to educational stakeholders to repair the harms that these anti-Black policies and practices inflict on students and communities, and thus move towards repairing the damage that white supremacy inflicts on everyone’s humanity.
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