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Books on the topic 'Mathematical'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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1

Panteleev, Andrey, Natal'ya Savost'yanova, and Natal'ya Fedorova. Mathematical analysis. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1077332.

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The manual contains a brief statement of the course of mathematical analysis. In contrast to existing academic literature textbook starts with a Chapter on "Basic mathematics" that covers arithmetic and algebra, i.e. the essential information needed when solving problems of higher mathematics. Along with theoretical material all the sections are accompanied by a number of examples, including illustrating the geometric and economic meanings of the introduced concepts, methods and algorithms for solving mathematical, engineering and economic challenges. Given tasks for independent solving with answers. Meets the requirements of Federal state educational standards of higher education of the last generation. For students of higher educational institutions studying the discipline "Mathematical analysis" and "Higher mathematics" and receive education on the directions of science, engineering and technology, Informatics and Economics (bachelor and master). Can be used by individuals engaged in self-education.

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2

Hassani, Sadri. Mathematical Methods Using Mathematica®. New York, NY: Springer New York, 2003. http://dx.doi.org/10.1007/b97272.

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3

Rose, Colin, and Murray D. Smith. Mathematical Statistics with Mathematica®. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4612-2072-5.

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4

Litvinov, G. L., and V. P. Maslov, eds. Idempotent Mathematics and Mathematical Physics. Providence, Rhode Island: American Mathematical Society, 2005. http://dx.doi.org/10.1090/conm/377.

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5

McDuffie, Amy Roth, ed. Mathematical Modeling and Modeling Mathematics. Reston, VA: National Council of Teachers of Mathematics, 2016.

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6

Clark, Colin Whitcomb. Mathematical bioeconomics: The mathematics of conservation. 3rd ed. Hoboken, N.J: Wiley, 2010.

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7

Peter, Milosav, and Ercegovaca Irene, eds. Mathematics and mathematical logic: New research. Hauppauge, NY: Nova Science Publishers, 2009.

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8

I, Koptev IU︠︡, and Fiziko-tekhnicheskiĭ institut im. A.F. Ioffe., eds. Mathematical physics, applied mathematics and informatics. Commack, New York: Nova Science Publishers, 1993.

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9

Massachusetts. Dept. of Education. Mathematics curriculum framework: Achieving mathematical power. Malden, Mass: Commonwealth of Massachusetts, Dept. of Education, 1997.

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10

Project, School Mathematics, ed. Mathematical methods: The School Mathematics Project. Cambridge: Cambridge University Press, 1998.

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11

Singer, Florence Mihaela, ed. Mathematical Creativity and Mathematical Giftedness. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73156-8.

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12

Yaglom, I. M. Mathematical structures and mathematical modelling. New York: Gordon and Breach, 1986.

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13

I͡Aglom, I. M. Mathematical structures and mathematical modelling. New York: Gordon and Breach Science, 1986.

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14

D, Resnik Michael, ed. Mathematical objects and mathematical knowledge. Aldershot, Hants, England: Dartmouth, 1995.

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15

Zhukova, Galina, and Margarita Rushaylo. The mathematical analysis. Volume 1. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1072169.

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The aim of the tutorial is to help students to master the basic concepts and methods of the study of calculus. Volume 1 explores the following topics: theory of sets, theory of limits; differential calculus of functions of one variable; investigation of the properties of functions and graphing; integral calculus of functions of one real variable (indefinite, definite and improper integrals), the technique of integration; hyperbolic functions; applications to the analysis and solution of practical problems. These topics are studied in universities, as a rule, in the first semester in the framework of self-discipline "Mathematical analysis" or the course "Higher mathematics", "Mathematics". Great attention is paid to comparison of these methods, the proper choice of study design tasks, analyze complex situations that arise in the study of these branches of mathematical analysis. For teachers, students and postgraduate students studying mathematical analysis.

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16

A, Davis M. H., ed. Mathematical finance. New York: Springer-Verlag, 1995.

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17

Fuks, D. B. Mathematical omnibus: Thirty lectures on classic mathematics. Providence, RI: American Mathematical Society, 2007.

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18

Römisch, Werner, and Thomas Zeugmann. Mathematical Analysis and the Mathematics of Computation. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42755-3.

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19

Barton, Bill. The language of mathematics: Telling mathematical tales. New York, NY: Springer, 2008.

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20

S, Klamkin Murray, and Society for Industrial and Applied Mathematics., eds. Mathematical modelling: Classroom notes in applied mathematics. Philadelphia: SIAM, 1987.

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21

1938-, Polimeni Albert D., and Zhang Ping 1957-, eds. Mathematical proofs: A transition to advanced mathematics. 3rd ed. Boston: Pearson Education, 2013.

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22

Paul, Ernest, ed. Constructing mathematical knowledge: Epistemology and mathematics education. London: Falmer Press, 1994.

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23

Mathematical Statistics with MATHEMATICA. Springer, 2002.

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24

Hassani, Sadri. Mathematical Methods using Mathematica. Springer, 2003.

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25

Kistler, Elmo. Mathematical Physics: Mathematics Series. Scitus Academics LLC, 2018.

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26

Wilson, Robin, and Amirouche Moktefi, eds. The Mathematical World of Charles L. Dodgson (Lewis Carroll). Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198817000.001.0001.

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Charles Lutwidge Dodgson is best known for his ‘Alice’ books, Alice’s Adventures in Wonderland and Through the Looking-Glass, written under his pen-name of Lewis Carroll. He is also remembered as a pioneer of Victorian photography. But his everyday job was a lecturer in Mathematics at Christ Church, Oxford University. What mathematics did he do? How good a mathematician was he? And how influential was his work, both at the time and since? This book investigates these questions by outlining his mathematical life, describing in an accessible way his writings in geometry, algebra, logic, the theory of voting, and recreational mathematics, and discussing his mathematical legacy. There is also a full mathematical bibliography of Dodgson’s mathematical publications. This is the first academic work that collects the research on Dodgson’s wide-ranging mathematical achievements into a single accessible volume, and is written by acknowledged world experts on these activities. Much material is collected here for the first time, including the results of recent research. It has been carefully edited and is presented in an introductory and accessible form with many illustrations, both explanatory and historical. Expected to become the standard work on the subject, it should be of great interest to anyone interested in Lewis Carroll, Oxford, Victorian Britain, or mathematics.

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27

Handelman, Matthew. The Mathematical Imagination. Fordham University Press, 2019. http://dx.doi.org/10.5422/fordham/9780823283835.001.0001.

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The Mathematical Imagination is an archaeology of the undeveloped potential of mathematics for critical theory. As Max Horkheimer and Theodor W. Adorno first conceived of the critical project in the 1930s, critical theory steadfastly opposed the mathematization of thought. Mathematics flattened thought into a dangerous positivism that led reason to the barbarism of the Second World War. The Mathematical Imagination challenges this narrative and argues that it has obscured how mathematics provided three lesser-known German-Jewish thinkers—Gershom Scholem, Franz Rosenzweig, and Siegfried Kracauer—with metaphors to negotiate the crises of modernity during the Weimar Republic. Their theories of poetry, messianism, and cultural critique borrowed ideas from the philosophy of mathematics, infinitesimal calculus, and geometry in order to refashion cultural and aesthetic discourse. Drawn to the austerity and muteness of mathematics, these friends and forerunners of the Frankfurt School found in mathematical approaches to negativity strategies to capture the marginalized experiences and perspectives of Jews in Germany. This vocabulary, in which theory could be both mathematical and critical, is missing in the intellectual history of critical theory—from the work of second-generation critical theorists such as Jürgen Habermas to contemporary critiques of technology. Building on the work of Martin Jay and Susan Buck-Morss, The Mathematical Imagination shows how Scholem, Rosenzweig, and Kracauer’s engagement with mathematics uncovers a more capacious vision of the critical project, one with tools that can help us confront and intervene in our digital, and increasingly mathematical, present.

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28

D'Agostino, Susan. How to Free Your Inner Mathematician. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198843597.001.0001.

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How to Free Your Inner Mathematician: Notes on Mathematics and Life offers readers guidance in managing the fear, freedom, frustration, and joy that often accompany calls to think mathematically. With practical insight and years of award-winning mathematics teaching experience, DAgostino offers more than 300 hand-drawn sketches alongside accessible descriptions of fractals, symmetry, fuzzy logic, knot theory, Penrose patterns, infinity, the Twin Prime Conjecture, Arrows Impossibility Theorem, Fermats Last Theorem, and other intriguing mathematical topics. Readers are encouraged to embrace change, proceed at their own pace, mix up their routines, resist comparison, have faith, fail more often, look for beauty, exercise their imaginations, and define success for themselves. Mathematics students and enthusiasts will learn advice for fostering courage on their journey regardless of age or mathematical background. How to Free Your Inner Mathematician delivers not only engaging mathematical content but provides reassurance that mathematical success has more to do with curiosity and drive than innate aptitude.

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29

Mathematical Statistics with Mathematica®. 2002.

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30

Colyvan, Mark, John Cusbert, and Kelvin McQueen. Two Flavours of Mathematical Explanation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198777946.003.0012.

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A proof of a mathematical theorem tells us that the theorem is true (or should be accepted), but some proofs go further and tell us why the theorem is true (or should be accepted). That is, some, but not all, proofs are explanatory. Call this intra-mathematical explanation and it is to be contrasted with extra-mathematical explanation, where mathematics explains things external to mathematics. This chapter focuses on the intra-mathematical case. The authors consider a couple of examples of explanatory proofs from contemporary mathematics. They determine whether these proofs share some common feature that may account for their explanatoriness. The authors conclude with two plausible, but competing, accounts of mathematical explanation and suggest that there might be more than one kind of explanation at work in mathematics.

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31

Borisyuk, Alla, G. Bard Ermentrout, David Terman, and Avner Friedman. Tutorials in Mathematical Biosciences I: Mathematical Neuroscience (Lecture Notes in Mathematics / Mathematical Biosciences Subseries). Springer, 2005.

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32

Mathematician and His Mathematical Work. World Scientific Publishing Co Pte Ltd, 1996.

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33

Stein, Sherman K. Mathematical Footprints: Discovering Mathematics Everywhere. Wide World Publishing, Tetra, 2000.

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34

Brasel, Jason. Mathematical Neighborhoods of School Mathematics. American Mathematical Society, 2023.

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35

Applicable mathematics and mathematical methods. London: Pearson, 2006.

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36

Mathematical Maturity Via Discrete Mathematics. Dover Publications, Incorporated, 2019.

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37

Applicable mathematics and mathematical methods. London: Pearson, 2009.

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38

Solutions, Pearson Learning. Pearson Custom Mathematics Mathematical Ideas. Pearson, 2011.

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39

-. Mathematics in School-Mathematical Association. Financial Times Prentice Hall, 1998.

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40

Wiltshire, Alan. Mathematical Patterns File (Mathematics Resources). Tarquin, 1989.

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41

Ponomarenko, Vadim. Mathematical Maturity Via Discrete Mathematics. Dover Publications, Incorporated, 2019.

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42

Mathematical Practices, Mathematics for Teachers. Brooks/Cole, 2014.

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43

Safarzadeh, Mohammed. Mathematical Methods in Economics Using Mathematica. Kendall Hunt Publishing Company, 2015.

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44

Kelly, James J. Graduate Mathematical Physics: With MATHEMATICA Supplements. Wiley-VCH, 2007.

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45

Graduate mathematical physics: With MATHEMATICA supplements. Weinheim: Wiley-VCH, 2006.

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46

Besseling, J. F., and E. Van Der Giessen. Mathematical Modeling of Inelastic Deformation (Applied Mathematics and Mathematical Computation Series). Chapman & Hall/CRC, 1994.

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47

ZOZZO, Garzetti DEL. Mathematical Wonderland: Mathematical Wonderland. Antique Collectors' Club, 2023.

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48

Oosterhoff, Richard. Making Mathematical Culture. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198823520.001.0001.

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In 1503, for the first time, a student at Paris could spend his entire university career studying only the printed textbooks of his teacher, in the works of the humanist and university reformer Jacques Lefèvre d’lÉtaples (c. 1455–1536). In this hinge moment in the cultural history of Europe, as printed books became central to the intellectual habits of following generations, Lefèvre turned especially to mathematics as a way to renovate the medieval university. This book relies on the student manuscripts and annotated books of Beatus Rhenanus, the sole surviving archive of its kind, to consider university learning in the new age of print. Making Mathematical Culture offers a new account of printed textbooks as jointly made by masters and students, and how such collaborative practices informed approaches to mathematics. This book places this moment within the longer history of mathematical practice and Renaissance method, and suggests growing affinities between material practices of making and mathematical culture—a century before Galileo and Descartes.

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49

Giaquinta, Mariano, Birkhauser, Giuseppe Modica, and Guiseppe Modica. Mathematical Analysis. Birkhäuser Boston, 2004.

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50

Cheng, S. Y., P. Li, and G. Tian. A Mathematician and His Mathematical Work. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/2864.

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