Arindama Singh (82 results)

Paperback. Condition: Very Good. Paperback, clean unmarked pages, some normal wear, no remainder marks, tight binding, exact artwork as listed.

N.A. Condition: New. ISBN:9788132203001.

Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Condition: Fine.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New.

Condition: As New. Unread book in perfect condition.

HARDCOVER. Condition: Fine. 1st edition. 194pp, octavo, tight binding, clean throughout, clean and colorful boards with sharp corners, clean pages throughout.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: New.

Hardcover. Condition: New. 1st Edition. Contents: 1. Matrix Operations. 2. Systems of Linear Equations. 3. Subspace and Dimension. 4. Orthogonality. 5. Eigenvalues and Eigenvectors. 6. Canonical Forms. 7. Norms of Matrices. Short Bibliography. Index. Keeping the modest goal as a text book on matrix theory the approach here is straight forward and quite elementary. Using elementary row operations and Gram-Schmidt orthogonalization as basic tools the text develops characterization of equivalence and similarity, and various factorizations such as rank factorization, OR-factorization, Schur triangularization, Diagonalization of normal matrices, Jordan decomposition, singular value decomposition and polar decomposition. Along with Gauss-Jordan elimination for linear systems, it also discusses best approximations and least squares solutions_ It includes norms on matrices as a means to deal with iterative solutions of linear systems and exponential of a matrix. The topics are dealt with in a lively manner. Each section of the book has exercises to reinforce the concepts; and problems have been added at the end of each chapter. Most of these problems are theoretical in nature and they do not fit into the running text linearly. Exercises and problems form an integral part of the book. (jacket).…

Condition: New.

Condition: New. In English.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. pp. 422 1st Edition.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The foundation of computer science is built upon the following questions: What is an algorithm What can be computed and what cannot be computed What does it mean for a function to be computable How does computational power depend upon programming constructs Which algorithms can be considered feasible For more than 70 years, computer scientists are searching for answers to such qu- tions. Their ingenious techniques used in answering these questions form the theory of computation. Theory of computation deals with the most fundamental ideas of computer s- ence in an abstract but easily understood form. The notions and techniques employed are widely spread across various topics and are found in almost every branch of c- puter science. It has thus become more than a necessity to revisit the foundation, learn the techniques, and apply them with con dence. Overview and Goals This book is about this solid, beautiful, and pervasive foundation of computer s- ence. It introduces the fundamental notions, models, techniques, and results that form the basic paradigms of computing. It gives an introduction to the concepts and mathematics that computer scientists of our day use to model, to argue about, and to predict the behavior of algorithms and computation. The topics chosen here have shown remarkable persistence over the years and are very much in current use.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The foundation of computer science is built upon the following questions: What is an algorithm What can be computed and what cannot be computed What does it mean for a function to be computable How does computational power depend upon programming constructs Which algorithms can be considered feasible For more than 70 years, computer scientists are searching for answers to such qu- tions. Their ingenious techniques used in answering these questions form the theory of computation. Theory of computation deals with the most fundamental ideas of computer s- ence in an abstract but easily understood form. The notions and techniques employed are widely spread across various topics and are found in almost every branch of c- puter science. It has thus become more than a necessity to revisit the foundation, learn the techniques, and apply them with con dence. Overview and Goals This book is about this solid, beautiful, and pervasive foundation of computer s- ence. It introduces the fundamental notions, models, techniques, and results that form the basic paradigms of computing. It gives an introduction to the concepts and mathematics that computer scientists of our day use to model, to argue about, and to predict the behavior of algorithms and computation. The topics chosen here have shown remarkable persistence over the years and are very much in current use.…