Theory and problems of beginning linear algebra / Seymour Lipschutz
Material type:
- 9789389691306
- 512.5076 LIP-S
Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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BITS Pilani Hyderabad | 510 | General Stack (For lending) | 512.5076 LIP-S (Browse shelf(Opens below)) | INR 729.00. | Available | 47639 |
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512.5 YAN-Y Concise text on advanced linear algebra / | 512.50285 BUT-R Introduction to applied numerical linear algebra using MATLAB / | 512.50285 GAL-J Linear algebra and optimization with applications to machine learning (Volume 1) : linear algebra for computer vision, robotics, and machine learning / | 512.5076 LIP-S Theory and problems of beginning linear algebra / | 512.523 JAI-M Vector spaces, matrices and tensors in physics / | 512.55 BOU-N General Topology : chapters 5-10 / | 512.55 BOU-N General topology : chapters 1-4 |
If you want an effective study aid you can use on your own or to supplement your linear algebra textbook, this easy to understand book fits the bill perfectly. With its step by step pace and 1000 plus solved and supplementary problems, you'll able to easily master the subject matter and perform better in class and on exams.
This book in Schaum's highly regarded course outline series contains more problems and explanations than the more advanced linear algebra books. Specifically, you will find 652 solved problems, including examples with complete solutions. In addition, there are 390 additional problems with answers, many with multiple parts. The abundance of examples serve as built in, chapter by chapter reviews.
effectively combining theory and practice using concrete examples, this outstanding supplement and study aid for any course in linear algebra includes chapters on:
Vectors and matrix algebra
Systems of linear equations
Square and elementary matrices
Vector spaces and subspaces
Inner product spaces and orthogonality
Linear mappings
Determinants
Diagonalization: eigenvalues and eigenvectors
Quadratic forms and symmetric matrices
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