Scalar, Vector, and Matrix Mathematics : Theory, Facts, and Formulas - Revised and Expanded Edition
Scalar, Vector, and Matrix Mathematics : Theory, Facts, and Formulas - Revised and Expanded Edition
Click to enlarge
Author(s): Bernstein, Dennis
Bernstein, Dennis S.
ISBN No.: 9780691151205
Edition: Revised
Pages: 1,600
Year: 201803
Format: Trade Cloth (Hard Cover)
Price: $ 320.89
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

"This book contains a huge variety of results on matrix and linear algebra, painstakingly collected from numerous sources. Having already become a main reference for anyone interested in the theory and practice of matrices, this new edition includes a wealth of additional material. If you have any questions about sets, graphs, and functions, derivatives and integrals, sequences and limits, and even geometry, you will almost certainly find an answer here." --Götz Trenkler, Technical University of Dortmund, Germany "Bernstein's book inherits each and every virtue of its valued predecessors and offers much more than just updating. New topics have been covered and many novel results included, and the author has made a tremendous effort to present them in a clear, concise, and logical way. This book will remain the primary reference for engineers, mathematicians, physicists, statisticians, and other scientists interested in pure and applied matrix analysis and related topics." --Oskar Baksalary, Adam Mickiewicz University, Poznan, Poland " Scalar, Vector, and Matrix Mathematics is a monumental work that contains an impressive collection of formulae one needs to know on diverse topics in mathematics, from matrices and their applications to series, integrals, and inequalities. The bibliography is vast and well documented, and the presentation is appealing and accessible.


" --Ovidiu Furdui, Technical University of Cluj-Napoca, Romania "This is a book that any mathematician, physicist, or engineer would want to have at hand. If you are looking for a particular mathematical identity, an inequality, or a fact about matrices, then it is most likely that you will find it in this encyclopedic work." --Omran Kouba, Higher Institute for Applied Sciences and Technology, Damascus.


To be able to view the table of contents for this publication then please subscribe by clicking the button below...
To be able to view the full description for this publication then please subscribe by clicking the button below...