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Mathematical Thinking: Why Everyone Should Study Math (Compact Textbooks in Mathematics) - Tapa blanda
Sinopsis
This textbook invites readers to explore mathematical thinking by finding the beauty in the subject. With an accessible tone and stimulating puzzles, the author will convince curious non-mathematicians to continue their studies in the area. It has an expansive scope, covering everything from probability and graph theory to infinities and Newton’s method. Many examples of proofs appear as well, offering readers the opportunity to explore these topics with the amount of rigor that suits them. Programming exercises in Python are also included to show how math behaves in action.
Mathematical Thinking is an ideal textbook for transition courses aimed at undergraduates moving from lower level to more advanced topics, as well as for math recruitment and invitational courses at the freshman or sophomore level. It may also be of interest in computer science departments and can be used as a supplemental text for courses in discrete mathematics and graph theory.
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Acerca del autor
Howard Karloff is a former professor of computer science at Georgia Tech and the University of Chicago. He is also the author of the 1991 Modern Birkhauser Classic "Linear Programming."
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This textbook invites readers to explore mathematical thinking by finding the beauty in the subject. With an accessible tone and stimulating puzzles, the author will convince curious non-mathematicians to continue their studies in the area. It has an expansive scope, covering everything from probability and graph theory to infinities and Newton’s method. Many examples of proofs appear as well, offering readers the opportunity to explore these topics with the amount of rigor that suits them. Programming exercises in Python are also included to show how math behaves in action.
Mathematical Thinking is an ideal textbook for transition courses aimed at undergraduates moving from lower level to more advanced topics, as well as for math recruitment and invitational courses at the freshman or sophomore level. It may also be of interest in computer science departments and can be used as a supplemental text for courses in discrete mathematics and graph theory.
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Mathematical Thinking: Why Everyone Should Study Math (Compact Textbooks in Mathematics)
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26399309342
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Mathematical Thinking
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Springer Nature Switzerland Mai 2024, 2024
ISBN 10: 3031332059
ISBN 13: 9783031332050
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook invites readers to explore mathematical thinking by finding the beauty in the subject. With an accessible tone and stimulating puzzles, the author will convince curious non-mathematicians to continue their studies in the area. It has an expansive scope, covering everything from probability and graph theory to infinities and Newton's method. Many examples of proofs appear as well, offering readers the opportunity to explore these topics with the amount of rigor that suits them. Programming exercises in Python are also included to show how math behaves in action.Mathematical Thinkingis an ideal textbook for transition courses aimed at undergraduates moving from lower level to more advanced topics, as well as for math recruitment and invitational courses at the freshman or sophomore level. It may also be of interest in computer science departments and can be used as a supplemental text for courses in discrete mathematics and graph theory. 212 pp. Englisch. Nº de ref. del artículo: 9783031332050
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Mathematical Thinking: Why Everyone Should Study Math (Compact Textbooks in Mathematics)
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Mathematical Thinking: Why Everyone Should Study Math (Compact Textbooks in Mathematics)
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18399309332
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MATHEMATICAL THINKING WHY EVERYONE SHOULD STUDY MATH (PB 2023)
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Condición: Brand New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India,& United states & United Kingdom. Depending on your location and availability. Nº de ref. del artículo: CBS 9783031332050
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Mathematical Thinking
Publicado por
Springer Nature Switzerland, 2024
ISBN 10: 3031332059
ISBN 13: 9783031332050
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores mathematical thinking and encourages everyone to find the beauty in the subjectUses an accessible tone and stimulating puzzles to convince readers to continue their studies of mathematicsCovers a wide range of topics in a compact f. Nº de ref. del artículo: 1289955526
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Mathematical Thinking: Why Everyone Should Study Math
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 212 pages. 9.25x6.10x0.48 inches. In Stock. Nº de ref. del artículo: 3031332059
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Mathematical Thinking
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Springer Nature Switzerland, Springer Nature Switzerland Jan 2024, 2024
ISBN 10: 3031332059
ISBN 13: 9783031332050
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This textbook invites readers to explore mathematical thinking by finding the beauty in the subject. With an accessible tone and stimulating puzzles, the author will convince curious non-mathematicians to continue their studies in the area. It has an expansive scope, covering everything from probability and graph theory to infinities and Newton¿s method. Many examples of proofs appear as well, offering readers the opportunity to explore these topics with the amount of rigor that suits them. Programming exercises in Python are also included to show how math behaves in action.Mathematical Thinking is an ideal textbook for transition courses aimed at undergraduates moving from lower level to more advanced topics, as well as for math recruitment and invitational courses at the freshman or sophomore level. It may also be of interest in computer science departments and can be used as a supplemental text for courses in discrete mathematics and graph theory.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 212 pp. Englisch. Nº de ref. del artículo: 9783031332050
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Mathematical Thinking : Why Everyone Should Study Math
Publicado por
Springer Nature Switzerland, 2024
ISBN 10: 3031332059
ISBN 13: 9783031332050
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook invites readers to explore mathematical thinking by finding the beauty in the subject. With an accessible tone and stimulating puzzles, the author will convince curious non-mathematicians to continue their studies in the area. It has an expansive scope, covering everything from probability and graph theory to infinities and Newton's method. Many examples of proofs appear as well, offering readers the opportunity to explore these topics with the amount of rigor that suits them. Programming exercises in Python are also included to show how math behaves in action.Mathematical Thinkingis an ideal textbook for transition courses aimed at undergraduates moving from lower level to more advanced topics, as well as for math recruitment and invitational courses at the freshman or sophomore level. It may also be of interest in computer science departments and can be used as a supplemental text for courses in discrete mathematics and graph theory. Nº de ref. del artículo: 9783031332050
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