
Introduction To Linear Algebra by Mark J Debonis
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Geometry and Its Applications
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Student Solutions Manual for Gallian's Contemporary Abstract Algebra
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Contemporary Abstract Algebra
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Financial Mathematics
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Taking the Oof! Out of Proofs
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Graphs & Digraphs
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Cryptography
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The Geometry of Special Relativity
- Real and Complex Analysis
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A First Course In Chaotic Dynamical Systems
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A Transition to Proof
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Chromatic Graph Theory
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Advanced Problem Solving with Maple
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A Concrete Introduction to Real Analysis
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An Elementary Transition to Abstract Mathematics
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Abstract Algebra
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Elementary Differential Equations
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A Second Course in Complex Analysis
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Convex Analysis
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Mathematics for Artificial Intelligence
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Fourier Series and Boundary Value Problems with Engineering Applications
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Elements Of Algebraic Topology
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Mathematical Modeling for Business Analytics
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Introduction to Mathematical Proofs
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Introduction to Analysis
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CounterExamples
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Applied Abstract Algebra with MapleTM and MATLAB�
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Introduction to Abstract Algebra
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Advanced Linear Algebra
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Fundamentals of Linear Algebra
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Differential Equations
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Exploring the Infinite
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Computational Mathematics
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Spherical Geometry and Its Applications
"Exceptionally well organized and thoroughly 'student friendly' in presentation, Introduction To Linear Algebra: Computation, Application, and Theory is an ideal textbook for highschool, college, and university curriculums"
- Midwest Books Review
Mark J. DeBonis received his PhD in Mathematics from the University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency as an applied mathematician of machine learning. He is an Associate Professor of Mathematics at Manhattan College in New York City and is also currently working for the US Department of Energy at Sandia National Lab as a Principal Data Analyst. His research interests include machine learning, statistics, and computational algebra.
| SKU | Unavailable |
| ISBN 13 | 9781032109381 |
| ISBN 10 | 1032109386 |
| Title | Introduction To Linear Algebra |
| Author | Mark J Debonis |
| Series | Textbooks In Mathematics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2024-05-27 |
| Number of pages | 420 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

































