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Books on the topic 'Mathematic material'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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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

Multicultural mathematics materials. 2nd ed. Reston, Va: National Council of Teachers of Mathematics, 2000.

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3

Bowick, Mark, David Kinderlehrer, Govind Menon, and Charles Radin, eds. Mathematics and Materials. Providence, Rhode Island: American Mathematical Society, 2017. http://dx.doi.org/10.1090/pcms/023.

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4

Yuhno, Natal'ya. Mathematics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1002604.

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The textbook presents: theoretical material, solved multi-level tasks on topics and practical exercises, test tasks, theoretical questions that form the communicative competence of students in independent work. Meets the requirements of the federal state educational standards of secondary vocational education of the latest generation. It is intended for studying theoretical material and performing independent work in mathematics within the framework of the mandatory hours provided for by the work programs in the discipline PD. 01 "Mathematics: algebra, the beginning of mathematical analysis, geometry" for students of the specialties 23.02.03 "Maintenance and repair of motor transport", 13.02.11"Technical operation and maintenance of electrical and electromechanical equipment (by industry)".

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5

Zhukova, Galina, and Margarita Rushaylo. Mathematical analysis in examples and tasks. Part 2. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1072162.

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The purpose of the textbook is to help students to master basic concepts and research methods used in mathematical analysis. In part 2 of the proposed cycle of workshops on the following topics: analytic geometry in space; differential calculus of functions of several variables; local, conditional, global extrema of functions of several variables; multiple, curvilinear and surface integrals; elements of field theory; numerical, power series, Fourier series; applications to the analysis and solution of applied problems. These topics are studied in universities, usually in the second semester in the discipline "Mathematical analysis" or the course "Higher mathematics", "Mathematics". For the development of each topic the necessary theoretical and background material, reviewed a large number of examples with detailed analysis and solutions, the options for independent work. For self-training and quality control of the acquired knowledge in each section designed exercises and tasks with answers and guidance. It is recommended that teachers, students and graduate students studying advanced mathematics.

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6

Council, Northern Ireland Curriculum. Guidance materials for mathematics. Belfast: Northern Ireland Curriculum Council, 1990.

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7

Remillard, Janine T., and Ok-Kyeong Kim. Elementary Mathematics Curriculum Materials. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38588-0.

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8

Golden, Kenneth M., Geoffrey R. Grimmett, Richard D. James, Graeme W. Milton, and Pabitra N. Sen, eds. Mathematics of Multiscale Materials. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1728-2.

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9

Golden, Kenneth M. Mathematics of Multiscale Materials. New York, NY: Springer New York, 1998.

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10

called, Gohier Urbain Degoulet. Mathematics.: Sample test materials. Hayes: SCAA, 1997.

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11

Kirsanov, Mihail, and Ol'ga Kuznecova. Mathematical analysis. Collection of problems and solutions using the Maple system. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1160964.

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The collection contains theoretical material, conditions and examples of solutions to problems with answers, as well as more than 400 test questions on mathematical analysis to control the assimilation of theoretical and practical material. All tasks and test questions can be used both for independent solution, and as control works and standard tasks for full-time, part-time and distance learning. The manual contains recommendations for using the Maple computer mathematics system for solving problems and a short guide to the main commands of this system. For students and teachers of technical and economic universities.

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12

Topics in computational materials science. River Edge, N.J: World Scientific, 1997.

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13

INdAM, Meeting Mathematical Models and Methods for Smart Materials (2001 Cortona Italy). Mathematical models and methods for smart materials: Cortona, Italy, 25-29 June 2001. River Edge, N.J: World Scientific, 2002.

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14

Trostel, Rudolf. Mechanik VII, 1: Materialgleichungen spezieller Medien. Berlin: Technische Universität, Universitätsbibliothek Abteilung Publikationen, 1990.

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15

Blair, Jamie. Prealgebra: With additional material. Upper Saddle River, NJ: Prentice Hall, 2006.

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16

Moloney, Jerome V. Nonlinear Optical Materials. New York, NY: Springer New York, 1998.

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17

Modelling stochastic fibrous materials with Mathematica. [New York]: Springer, 2009.

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18

Sampson, William W. Modelling stochastic fibrous materials with Mathematica. [New York]: Springer, 2009.

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19

Mezhdunarodnai︠a︡ nauchnai︠a︡ konferent︠s︡ii︠a︡ "Sovremennye problemy Sovremennye problemy prikladnoĭ matematiki i matematicheskogo modelirovanii︠a︡" (3rd 2009 Voronezh, Russia). Sovremennye problemy prikladnoĭ matematiki i matematicheskogo modelirovanii︠a︡: Materialy III Mezhdunarodnoĭ nauchnoĭ konferent︠s︡ii, g. Voronezh, 2-7 fevrali︠a︡ 2009 g.). Voronezh: Nauchnai︠a︡ kniga, 2009.

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20

1940-, Fabrizio Mauro, Morro Angelo 1946-, Lazzari Barbara, and Istituto nazionale di alta matematica (Italy), eds. Mathematical models and methods for smart material: Cortona, Italy, 25-29 June 2001. River Edge, N.J: World Scientific, 2002.

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21

Hill, James M., and A. P. S. Selvadurai, eds. Mathematics and Mechanics of Granular Materials. Berlin/Heidelberg: Springer-Verlag, 2005. http://dx.doi.org/10.1007/1-4020-4183-7.

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22

Torquato, Salvatore. Random Heterogeneous Materials: Microstructure and Macroscopic Properties. New York, NY: Springer New York, 2002.

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23

Material and energy balances for engineers and environmentalists. London: Imperial College Press, 2009.

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24

Watterson, Patricia. Mathematics for the slow learner: Classroom resource material. Glasgow: Jordanhill Coll.of Educ., 1990.

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25

Jüri, Engelbrecht, and SpringerLink (Online service), eds. Microstructured Materials: Inverse Problems. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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26

Studentsʹka, naukova konferent︠s︡ii︠a︡ Chernivet︠s︡ʹkoho nat︠s︡ionalʹnoho universytetu imeni I︠U︡rii︠a︡ Fedʹkovycha (2011 Chernivt︠s︡i Ukraine). Materialy studentsʹkoï naukovoï konferent︠s︡iï Chernivet︠s︡ʹkoho nat︠s︡ionalʹnoho universytetu imeni I︠U︡rii︠a︡ Fedʹkovycha: 17-18 travni︠a︡ 2011 roku : Fizyko-matematychni nauky. Chernivt︠s︡i: Chernivet︠s︡ʹkyĭ nat︠s︡ionalʹnyĭ universytet, 2011.

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27

Alan, Fine H., Geiger Gordon Harold 1937-, and Fine H. Alan, eds. Handbook on material and energy balance calculations in material processing. 3rd ed. Hoboken, N.J: Wiley-TMS, 2011.

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28

School Curriculum and Assessment Authority. Sample test materials Mathematics: Key Stage 3. London: SCAA and Central Office ofInformation, 1994.

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29

Sampson, William Wyatt. Modelling Stochastic Fibrous Materials with Mathematica®. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-991-2.

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30

Introduction to engineering materials. 2nd ed. Boca Raton, FL: CRC Press, 2008.

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31

Fracture mechanics of piezoelectric materials. Southampton: WIT, 2001.

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32

Fok, Alex, and Hooi Pin Chew. Mathematical Models for Dental Materials Research. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37849-3.

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33

service), SpringerLink (Online, ed. Materials with Memory. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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34

Pacific Rim International Conference on Advanced Materials and Processing (3rd 1998 Honolulu, Hawaii). The Third Pacific Rim International Conference on Advanced Materials and Processing (PRICM-3), Honolulu, Hawaii, USA, July 12-16, 1998. Warrendale, Pa: Minerals, Metals & Materials Society, 1998.

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35

IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects (2000 Kiruna, Sweden). IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects. Boston: Kluwer Academic Publishers, 2003.

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36

Delo, E. A. Dispersal of dredged material: Mathematical models of plume. Wallingford: Hydraulics Research Ltd, 1987.

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37

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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38

Services, Cheshire (England) Education, ed. Mathematics guidelines extension material. [Chester]: Cheshire County Council, Education Services, 1993.

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39

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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40

M, Golden Kenneth, ed. Mathematics of multiscale materials. New York: Springer, 1998.

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41

1934-, Mark James E., Glicksman M. E, and Marsh Steven P, eds. Computational methods in materials science: Symposium held April 27-May 1, 1992, San Francisco, California, U.S.A. Pittsburgh, Pa: Materials Research Society, 1992.

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42

Glicksman, Martin, and James E. Mark. Computational Methods in Materials Science: Symposium Held April 27-May 1, 1992, San Francisco, California, U.S.A. (Materials Research Society Symposium Proceedings). Materials Research Society, 1992.

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43

Diagnostic Procedures Material - the Introductory Guide (Diagnostic Procedures Materials). Scottish Council For Research In Education, 1995.

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44

Payne, Andrew. Studying Mathematics for the Sake of the Good. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198799023.003.0010.

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In this, the final chapter, the focus is on Socrates’ expectation that potential guardians will study mathematics for the purpose of understanding the Form of the Good. Mathematical studies contribute to this end by formulating definitions of mathematical entities that employ the notions of ratio and commensurability. As mathematicians work with visible figures and diagrams to prove their conclusions, they will come to see ratios and commensurability as a central aspect of their field. Definitions that employ the notions of commensurability then become the basis for dialectical inquiry leading to an awareness of the Form of the Good. Mathematical studies are carried on for the sake of understanding the Form of the Good in that they stimulate the formulation of definitions of mathematical entities. These definitions become the raw material for the dialectical understanding of the Form of the Good.

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45

An Introduction to the Mathematical Theory of Dynamic Materials (Advances in Mechanics and Mathematics). Springer, 2007.

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46

Ratke, Lorenz, and Peter W. Voorhees. Growth and Coarsening: Ostwald Ripening in Material Processing (Engineering Materials). Springer, 2002.

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47

Y, Fong C., ed. Topics in computational materials science. Singapore: World Scientific, 1998.

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48

Morro, Angelo, Indam Meeting Mathematical Models for Smart Material, Barbara Lazzari, and Istituto Nazionale Di Alta Matematica (Italy). Mathematical Models and Methods for Smart Materials: Cortona, Italy, 25-29 June 2001 (Series on Advances in Mathematics for Applied Sciences). World Scientific Publishing Company, 2002.

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49

Mathematics for Elementary Teachers Supplementary Material. Addison-Wesley, 1999.

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50

Bell, Jean, and Max S. Bell. Everyday Mathematics: Student Material Set : Purple. 2nd ed. Sra, 2004.

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