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9783319356143

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This remarkable book aims at providing an up-to-date treatment of methods and algorithms within the context of matrix computations and really hits the target. ... the interested reader can find a large, comprehensive and up-to-date list of references at the end of each chapter, together with some critical notes. ... this book is to be highly recommended to anybody with a serious interest in using matrix computations. (Raffaella Pavani, Mathematical Reviews, March, 2016) This is a fundamental work giving the basic ideas and methods in modern computational linear algebra. ... many ideas are mentioned and many references are given. Therefore, it will be an excellent reference work, parts can be used to teach a course on the subject, or it can be used by an independent reader to get a grasp on the topic, i.e., to learn something of the background, not just a practical hands-on programming course. (Adhemar Bultheel, euro-math-soc.au, December, 2014)

NMMC contains, of course, all expected classical topics and results on matrix computations, but it also contains very recent material ... . this is a very well written excellent book, which I strongly recommend to anybody interested in matrix computations and in computational mathematics in general. ... should be very useful for a wide audience, ranging from graduate students to specialists in matrix computations, as well as researchers in other areas that use matrix computations. (Froilan M. Dopico, SIAM Review, Vol. 58 (2), June, 2016) This remarkable book aims at providing an up-to-date treatment of methods and algorithms within the context of matrix computations and really hits the target. ... the interested reader can find a large, comprehensive and up-to-date list of references at the end of each chapter, together with some critical notes. ... this book is to be highly recommended to anybody with a serious interest in using matrix computations. (Raffaella Pavani, Mathematical Reviews, March, 2016) This is a fundamental work giving the basic ideas and methods in modern computational linear algebra. ... many ideas are mentioned and many references are given. Therefore, it will be an excellent reference work, parts can be used to teach a course on the subject, or it can be used by an independent reader to get a grasp on the topic, i.e., to learn something of the background, not just a practical hands-on programming course. (Adhemar Bultheel, euro-math-soc.au, December, 2014)

NMMC contains, of course, all expected classical topics and results on matrix computations, but it also contains very recent material ... . this is a very well written excellent book, which I strongly recommend to anybody interested in matrix computations and in computational mathematics in general. ... should be very useful for a wide audience, ranging from graduate students to specialists in matrix computations, as well as researchers in other areas that use matrix computations. (Froilan M. Dopico, SIAM Review, Vol. 58 (2), June, 2016) This remarkable book aims at providing an up-to-date treatment of methods and algorithms within the context of matrix computations and really hits the target. ... the interested reader can find a large, comprehensive and up-to-date list of references at the end of each chapter, together with some critical notes. ... this book is to be highly recommended to anybody with a serious interest in using matrix computations. (Raffaella Pavani, Mathematical Reviews, March, 2016) This is a fundamental work giving the basic ideas and methods in modern computational linear algebra. ... many ideas are mentioned and many references are given. Therefore, it will be an excellent reference work, parts can be used to teach a course on the subject, or it can be used by an independent reader to get a grasp on the topic, i.e., to learn something of the background, not just a practical hands-on programming course. (Adhemar Bultheel, euro-math-soc.au, December, 2014)

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Åke Björck is professor emeritus at Linköping University Sweden. He is the coauthor of several textbooks on numerical methods and a monograph and several papers on least squares methods. He has been visiting professor at Stanford University and University of Southern California.

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