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Informationen zum Autor Author of: The Linear Algebra Survival Guide, 1st Edition Actuaries' Survival Guide, 2nd Edition Actuaries' Survival Guide, 1st Edition Linear Algebra: An Introduction using Maple, 1st Edition Linear Algebra: An Introduction using Mathematica, 1st Edition Fred E. Szabo is professor in the Department of Mathematics and Statistics at Concordia University in Canada. He completed his undergraduate studies at Oxford University under the guidance of Sir Michael Dummett and received a Ph.D. in mathematics from McGill University under the supervision of Joachim Lambek. After postdoctoral studies at Oxford University and visiting professorships at several European universities, he returned to Concordia University as a faculty member and dean of graduate studies. For more than twenty years, he developed methods for the teaching of mathematics with technology. In 2012 he was honored at the annual Wolfram Technology Conference for his work on "A New Kind of Learning" with a Wolfram Innovator Award. He is currently professor and Provost Fellow at Concordia University. Klappentext The Linear Algebra Survival Guide is a reference book with a free downloadable Mathematica notebook containing all of interactive code to make the content of the book playable in Mathematica and the Mathematica Player. It offers a concise introduction to the core topics of linear algebra which includes numerous exercises that will accompany a first or second course in linear algebra. This book will guide you through the powerful graphic displays and visualization of Mathematica that make the most abstract theories seem simple-- allowing you to tackle realistic problems using simple mathematical manipulations. The many examples show you how to use Mathematica effectively and easily in many contexts. Numerous exercises and applications are presented requiring programming. The Mathematica Player can be found at http://www.wolfram.com/products/player/. ...
List of contents
Chapter 1: Linear Systems Chapter 2: Matrix Algebra Chapter 3: Determinants Chapter 4: Vector SpacesChapter 5: Linear TransformationsChapter 6: Eigenvalues and EigenvectorsChapter 7: Norms and Inner ProductsChapter 8: OrthogonallyChapter 9: Singular Values and Singular Vectors
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"...most useful for the Mathematica aspects, and that for tyros or occasional users. " --MAA.org
