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or for use as a textbook in computational courses, Applied Numerical Linear Algebra Using MATLAB, provides the reader with numerous;
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Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB (R) provides real-life;
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necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and;
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This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra;
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level of mathematical and computer sophistication. Starting with basic algebra, the book shows how MATLAB can be used to solve a wide range;
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This book focuses the solutions of linear algebra and matrix analysis problems, with the exclusive use of MATLAB. The topics include;
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Exploring Linear Algebra: Labs and Projects with MATLAB (R) is a hands-on lab manual that can be used by students and instructors;
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This textbook provides a self-contained introduction to linear programming using MATLAB(R) software to elucidate the development;
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Exploring Linear Algebra: Labs and Projects with MATLAB (R) is a hands-on lab manual that can be used by students and instructors;
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teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least;
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This book distinguishes itself from the many other textbooks on the topic of linear algebra by including mathematical and computational;
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This book distinguishes itself from the many other textbooks on the topic of linear algebra by including mathematical and computational;
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This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear;
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taking advanced calculus and linear algebra courses should find this book useful.;
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of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by;
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Linear Models is an ideal textbook for advanced undergraduate and graduate-level courses on statistics, matrices, and linear algebra. The book;
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This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. It includes;
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This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. It includes;
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linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python;
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linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python;
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To put the world of linear algebra to advanced use, it is not enough to merely understand the theory; there is a significant gap between;
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To put the world of linear algebra to advanced use, it is not enough to merely understand the theory; there is a significant gap between;
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This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least;
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This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least;
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Practical Matlab Applications for Engineers provides a tutorial for those with a basic understanding of Matlab. It can be used to follow;
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Advanced Linear Algebra, Second Edition takes a gentle approach that starts with familiar concepts and then gradually builds to deeper;
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High level linear algebra book that blends both computational and theoretical aspects, using each to enhance the other. Explains the key;
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