Linear Algebra Mat Labs
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Linear Algebra Mat Labs
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Author : Terry Lawson
language : en
Publisher: Wiley
Release Date : 1996-04-26
Linear Algebra Mat Labs written by Terry Lawson and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-26 with Mathematics categories.
High level linear algebra book that blends both computational and theoretical aspects, using each to enhance the other. Explains the key points of the Gaussian elimination algorithm. Discusses vector spaces and linear transformations using matrix computations. Takes advantage of software packages such as MATLAB, Mathematica, and Maple.
Linear Algebra Mathematica Labs
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Author : Terry Lawson
language : en
Publisher: Wiley
Release Date : 1996-12-06
Linear Algebra Mathematica Labs written by Terry Lawson and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-12-06 with Mathematics categories.
High level linear algebra book that blends both computational and theoretical aspects, using each to enhance the other. Explains the key points of the Gaussian elimination algorithm. Discusses vector spaces and linear transformations using matrix computations. Takes advantage of software packages such as MATLAB, Mathematica, and Maple.
Exploring Linear Algebra
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Author : Crista Arangala
language : en
Publisher: CRC Press
Release Date : 2019-03-07
Exploring Linear Algebra written by Crista Arangala and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-07 with Mathematics categories.
Exploring Linear Algebra: Labs and Projects with MATLAB® is a hands-on lab manual that can be used by students and instructors in classrooms every day to guide the exploration of the theory and applications of linear algebra. For the most part, labs discussed in the book can be used individually or in a sequence. Each lab consists of an explanation of material with integrated exercises. Some labs are split into multiple subsections and thus exercises are separated by those subsections. The exercise sections integrate problems using Mathematica demonstrations (an online tool that can be used with a browser with Java capabilities) and MATLAB® coding. This allows students to discover the theory and applications of linear algebra in a meaningful and memorable way. Features: The book’s inquiry-based approach promotes student interaction Each chapter contains a project set which consists of application-driven projects emphasizing the chapter’s materials Adds a project component to any Linear Algebra course Explores many applications to a variety of fields that can promote research projects Employs MATLAB® to calculate and explore concepts and theories of linear algebra
Linear Algebra Maple Labs
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Author : Terry Lawson
language : en
Publisher: Wiley
Release Date : 1996-04-26
Linear Algebra Maple Labs written by Terry Lawson and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-26 with Mathematics categories.
High level linear algebra book that blends both computational and theoretical aspects, using each to enhance the other. Explains the key points of the Gaussian elimination algorithm. Discusses vector spaces and linear transformations using matrix computations. Takes advantage of software packages such as MATLAB, Mathematica, and Maple.
Linear Algebra Labs With Matlab
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Author : David Hill
language : en
Publisher: Prentice Hall
Release Date : 2004
Linear Algebra Labs With Matlab written by David Hill and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Mathematics categories.
Linear Algebra With Maple Lab Manual
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Author : Fred Szabo
language : en
Publisher: Elsevier
Release Date : 2001-08-23
Linear Algebra With Maple Lab Manual written by Fred Szabo and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-08-23 with Computers categories.
Linear Algebra: An Introduction Using MAPLE is a text for a first undergraduate course in linear algebra. All students majoring in mathematics, computer science, engineering, physics, chemistry, economics, statistics, actuarial mathematics and other such fields of study will benefit from this text. The presentation is matrix-based and covers the standard topics for a first course recommended by the Linear Algebra Curriculum Study Group. The aim of the book is to make linear algebra accessible to all college majors through a focused presentation of the material, enriched by interactive learning and teaching with MAPLE. Development of analytical and computational skills is emphasized throughout Worked examples provide step-by-step methods for solving basic problems using Maple The subject's rich pertinence to problem solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, and statistics
Matlab Linear Algebra Manual And Lab Projects T A Elementary Linear Algebra Applications Version 11e
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Author : Anton
language : en
Publisher:
Release Date : 2014-03-21
Matlab Linear Algebra Manual And Lab Projects T A Elementary Linear Algebra Applications Version 11e written by Anton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-21 with categories.
Linear Algebra With Machine Learning And Data
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Author : Crista Arangala
language : en
Publisher: CRC Press
Release Date : 2023-05-09
Linear Algebra With Machine Learning And Data written by Crista Arangala and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Mathematics categories.
This textbook attempts to revolutionize the Advanced Linear Algebra course by offering the integration of data analysis through case studies. Many schools are trying to find ways to incorporate data analysis into the undergrad math curriculum. The author presents a real alternative to standard textbooks. The use of case studies to demonstrate how linear algebra can be used in data analysis separates this text from all others currently available from any major publisher.
Elementary Linear Algebra With Applications And Labs
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Author : Bernard Kolman
language : en
Publisher:
Release Date : 2011*
Elementary Linear Algebra With Applications And Labs written by Bernard Kolman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011* with Algebras, Linear categories.
Linear Algebra And Its Applications With R
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Author : Ruriko Yoshida
language : en
Publisher: CRC Press
Release Date : 2021-06-27
Linear Algebra And Its Applications With R written by Ruriko Yoshida and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-27 with Mathematics categories.
This book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. These students tend not to realize the importance of linear algebra in applied sciences, since traditional linear algebra courses tend to cover mathematical contexts but not the computational aspect of linear algebra or its applications to data science and bioinformatics. The author presents the topics in a traditional course, yet offers lectures as well as lab exercises on simulated and empirical data sets. This textbook provides students a theoretical basis which can then be applied to the practical R and Python problems, providing the tools needed for real-world applications. Each section starts with working examples to demonstrate how tools from linear algebra can help solve problems in applied sciences. These exercises start from easy computations, such as computing determinants of matrices, to practical applications on simulated and empirical data sets with R so that students learn how to get started with R, along with computational examples in each section, and then students learn how to apply what they've learned to problems in applied sciences. This book is designed from first principles to demonstrate the importance of linear algebra through working computational examples with R and Python, including tutorials on how to install R in the Appendix. If a student has never seen R, they can get started without any additional help. Since Python is one of the most popular languages in data science, optimization, and computer science, code supplements are available for students who feel more comfortable with Python. R is used primarily for computational examples to develop students’ practical computational skills. About the Author: Dr. Ruriko Yoshida is an Associate Professor of Operations Research at the Naval Postgraduate School. She received her PhD in Mathematics from the University of California, Davis. Her research topics cover a wide variety of areas: applications of algebraic combinatorics to statistical problems such as statistical learning on non-Euclidean spaces, sensor networks, phylogenetics, and phylogenomics. She teaches courses in statistics, stochastic models, probability, and data science.
