Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 64,61
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EUR 79,72
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 557.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,31
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 78,14
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Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 64,61
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 79,48
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EUR 79,67
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 79,71
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 95,14
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EUR 81,85
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 84,16
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EUR 122,33
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Añadir al carritoPaperback. Condición: NEW. Brand New! Fast Delivery USA 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 7-14 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.
EUR 122,24
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Añadir al carritoPaperback. Condición: Brand New. Brand New! Fast Delivery, Delivery With In 8-14 working Day Only , USA Edition Original Edition. Excellent Quality, Printing In English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
EUR 101,27
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Añadir al carritoPaperback. Condición: new. Paperback. Fundamentals of Abstract Algebra is a primary textbook for a one year first course in Abstract Algebra, but it has much more to offer besides this. The book is full of opportunities for further, deeper reading, including explorations of interesting applications and more advanced topics, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. The book includes a primer on some basic mathematical concepts that will be useful for readers to understand, and in this sense the book is self-contained.FeaturesSelf-contained treatments of all topicsEverything required for a one-year first course in Abstract Algebra, and could also be used as supplementary reading for a second courseCopious exercises and examplesMark DeBonis received his PhD in Mathematics from the University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency, both as an applied mathematician of machine learning. He held a position as Associate Professor of Mathematics at Manhattan College in New York City, but later left to pursue research working for the US Department of Energy at Sandia National Laboratory as a Principal Data Analyst. His research interests include machine learning, statistics and computational algebra. This is a primary textbook for a one year first course in Abstract Algebra. The book helps in explorations interesting applications, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 120,23
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Añadir al carritoPaperback. Condición: new. Paperback. Fundamentals of Abstract Algebra is a primary textbook for a one year first course in Abstract Algebra, but it has much more to offer besides this. The book is full of opportunities for further, deeper reading, including explorations of interesting applications and more advanced topics, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. The book includes a primer on some basic mathematical concepts that will be useful for readers to understand, and in this sense the book is self-contained.FeaturesSelf-contained treatments of all topicsEverything required for a one-year first course in Abstract Algebra, and could also be used as supplementary reading for a second courseCopious exercises and examplesMark DeBonis received his PhD in Mathematics from the University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency, both as an applied mathematician of machine learning. He held a position as Associate Professor of Mathematics at Manhattan College in New York City, but later left to pursue research working for the US Department of Energy at Sandia National Laboratory as a Principal Data Analyst. His research interests include machine learning, statistics and computational algebra. This is a primary textbook for a one year first course in Abstract Algebra. The book helps in explorations interesting applications, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 96,80
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Añadir al carritoPaperback. Condición: new. Paperback. Fundamentals of Abstract Algebra is a primary textbook for a one year first course in Abstract Algebra, but it has much more to offer besides this. The book is full of opportunities for further, deeper reading, including explorations of interesting applications and more advanced topics, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. The book includes a primer on some basic mathematical concepts that will be useful for readers to understand, and in this sense the book is self-contained.FeaturesSelf-contained treatments of all topicsEverything required for a one-year first course in Abstract Algebra, and could also be used as supplementary reading for a second courseCopious exercises and examplesMark DeBonis received his PhD in Mathematics from the University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency, both as an applied mathematician of machine learning. He held a position as Associate Professor of Mathematics at Manhattan College in New York City, but later left to pursue research working for the US Department of Energy at Sandia National Laboratory as a Principal Data Analyst. His research interests include machine learning, statistics and computational algebra. This is a primary textbook for a one year first course in Abstract Algebra. The book helps in explorations interesting applications, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 212,23
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EUR 205,50
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 205,65
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 202,56
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Añadir al carritopaperback. Condición: New. New. book.
EUR 217,74
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EUR 221,20
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 237,62
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Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 245,87
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 253,32
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Añadir al carritoCondición: New.
EUR 248,97
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Añadir al carritoHardcover. Condición: new. Hardcover. Fundamentals of Abstract Algebra is a primary textbook for a one year first course in Abstract Algebra, but it has much more to offer besides this. The book is full of opportunities for further, deeper reading, including explorations of interesting applications and more advanced topics, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. The book includes a primer on some basic mathematical concepts that will be useful for readers to understand, and in this sense the book is self-contained.FeaturesSelf-contained treatments of all topicsEverything required for a one-year first course in Abstract Algebra, and could also be used as supplementary reading for a second courseCopious exercises and examplesMark DeBonis received his PhD in Mathematics from the University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency, both as an applied mathematician of machine learning. He held a position as Associate Professor of Mathematics at Manhattan College in New York City, but later left to pursue research working for the US Department of Energy at Sandia National Laboratory as a Principal Data Analyst. His research interests include machine learning, statistics and computational algebra. This is a primary textbook for a one year first course in Abstract Algebra. The book helps in explorations interesting applications, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 240,97
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Añadir al carritoHardcover. Condición: new. Hardcover. Fundamentals of Abstract Algebra is a primary textbook for a one year first course in Abstract Algebra, but it has much more to offer besides this. The book is full of opportunities for further, deeper reading, including explorations of interesting applications and more advanced topics, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. The book includes a primer on some basic mathematical concepts that will be useful for readers to understand, and in this sense the book is self-contained.FeaturesSelf-contained treatments of all topicsEverything required for a one-year first course in Abstract Algebra, and could also be used as supplementary reading for a second courseCopious exercises and examplesMark DeBonis received his PhD in Mathematics from the University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency, both as an applied mathematician of machine learning. He held a position as Associate Professor of Mathematics at Manhattan College in New York City, but later left to pursue research working for the US Department of Energy at Sandia National Laboratory as a Principal Data Analyst. His research interests include machine learning, statistics and computational algebra. This is a primary textbook for a one year first course in Abstract Algebra. The book helps in explorations interesting applications, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 279,53
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Añadir al carritoHardcover. Condición: new. Hardcover. Fundamentals of Abstract Algebra is a primary textbook for a one year first course in Abstract Algebra, but it has much more to offer besides this. The book is full of opportunities for further, deeper reading, including explorations of interesting applications and more advanced topics, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. The book includes a primer on some basic mathematical concepts that will be useful for readers to understand, and in this sense the book is self-contained.FeaturesSelf-contained treatments of all topicsEverything required for a one-year first course in Abstract Algebra, and could also be used as supplementary reading for a second courseCopious exercises and examplesMark DeBonis received his PhD in Mathematics from the University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency, both as an applied mathematician of machine learning. He held a position as Associate Professor of Mathematics at Manhattan College in New York City, but later left to pursue research working for the US Department of Energy at Sandia National Laboratory as a Principal Data Analyst. His research interests include machine learning, statistics and computational algebra. This is a primary textbook for a one year first course in Abstract Algebra. The book helps in explorations interesting applications, such as Galois theory. Replete with exercises and examples, the book is geared towards careful pedagogy and accessibility, and requires only minimal prerequisites. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 300,64
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Añadir al carritoHardcover. Condición: Brand New. 314 pages. 10.00x7.00x10.00 inches. In Stock.
Librería: dsmbooks, Liverpool, Reino Unido
EUR 392,55
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Añadir al carritohardcover. Condición: New. New. book.