Approaches to Algebra, N. Bednarz; C. Kieran; L. Lee

Автор: Strang
Название: Introduction to Linear Algebra 5 ed.
ISBN: 0980232775 ISBN-13(EAN): 9780980232776
Издательство: Cambridge Academ
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Цена: 0.00 T
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Описание: Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions, while at the same time seeing numerous minor improvements and major additions. The latter include: • A new chapter on singular values and singular vectors, including ways to analyze a matrix of data • A revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages • A new section on linear algebra and cryptography • A new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (including practice problems, exams, and development of textbook examples), plus codes in MATLAB®, Julia, and Python.

Автор: Swe Khine
Название: Approaches And Strategies In Next Generation Science Learning
ISBN: 146662809X ISBN-13(EAN): 9781466628090
Издательство: Mare Nostrum (Eurospan)
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Цена: 170010.00 T
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Описание: <em>Approaches and Strategies in Next Generation Science Learning</em> examines the challenges involved in the development of modern curriculum models, teaching strategies, and assessments in science education in order to prepare future students in the 21st century economies. This comprehensive collection of research brings together science educators, researchers and administrators interested in enhancing the teaching and learning of next generation science.

Автор: Godsil
Название: Erd?s–Ko–Rado Theorems: Algebraic Approaches
ISBN: 1107128447 ISBN-13(EAN): 9781107128446
Издательство: Cambridge Academ
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Цена: 74970.00 T
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Описание: The Erdos-Ko-Rado Theorem is a fundamental result in combinatorics. Aimed at graduate students and researchers, this comprehensive text shows how tools from algebraic graph theory can be applied to prove the EKR Theorem and its generalizations. Readers can test their understanding at every step with the end-of-chapter exercises.