The Resource Applied Linear Algebra, by Peter J. Olver, Chehrzad Shakiban, (electronic resource)
Applied Linear Algebra, by Peter J. Olver, Chehrzad Shakiban, (electronic resource)
Resource Information
The item Applied Linear Algebra, by Peter J. Olver, Chehrzad Shakiban, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Applied Linear Algebra, by Peter J. Olver, Chehrzad Shakiban, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 Summary
 This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go handinhand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an indepth first course, or an applicationdriven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with singlevariable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.
 Language
 eng
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XXV, 679 pages)
 Contents

 Preface
 1. Linear Algebraic Systems
 2. Vector Spaces and Bases
 3. Inner Products and Norms
 4. Minimization and Least Squares Approximation
 5. Orthogonality
 6. Equilibrium
 7. Linearity
 8. Eigenvalues
 9. Linear Dynamical Systems
 10. Iteration of Linear Systems
 11. Boundary Value Problems in One Dimension
 References
 Index
 Isbn
 9783319910413
 Label
 Applied Linear Algebra
 Title
 Applied Linear Algebra
 Statement of responsibility
 by Peter J. Olver, Chehrzad Shakiban
 Language
 eng
 Summary
 This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go handinhand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an indepth first course, or an applicationdriven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with singlevariable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.
 Assigning source
 Provided by publisher
 http://library.link/vocab/creatorName
 Olver, Peter J
 Image bit depth
 0
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 Shakiban, Chehrzad
 Series statement

 Springer eBooks
 Undergraduate Texts in Mathematics,
 Springer eBooks.
 http://library.link/vocab/subjectName

 Mathematics
 Matrix theory
 Algebra
 Mathematical physics
 Label
 Applied Linear Algebra, by Peter J. Olver, Chehrzad Shakiban, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Preface  1. Linear Algebraic Systems  2. Vector Spaces and Bases  3. Inner Products and Norms  4. Minimization and Least Squares Approximation  5. Orthogonality  6. Equilibrium  7. Linearity  8. Eigenvalues  9. Linear Dynamical Systems  10. Iteration of Linear Systems  11. Boundary Value Problems in One Dimension  References  Index
 Control code
 9783319910413
 Dimensions
 unknown
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XXV, 679 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319910413
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319910413
 Other physical details
 130 illustrations, 88 illustrations in color.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1040612538
 Label
 Applied Linear Algebra, by Peter J. Olver, Chehrzad Shakiban, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Preface  1. Linear Algebraic Systems  2. Vector Spaces and Bases  3. Inner Products and Norms  4. Minimization and Least Squares Approximation  5. Orthogonality  6. Equilibrium  7. Linearity  8. Eigenvalues  9. Linear Dynamical Systems  10. Iteration of Linear Systems  11. Boundary Value Problems in One Dimension  References  Index
 Control code
 9783319910413
 Dimensions
 unknown
 Edition
 2nd ed. 2018.
 Extent
 1 online resource (XXV, 679 pages)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Governing access note
 Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, noncommercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
 Isbn
 9783319910413
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9783319910413
 Other physical details
 130 illustrations, 88 illustrations in color.
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)1040612538
Subject
Member of
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.eui.eu/portal/AppliedLinearAlgebrabyPeterJ.Olver/Bl1S2HF1htA/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/AppliedLinearAlgebrabyPeterJ.Olver/Bl1S2HF1htA/">Applied Linear Algebra, by Peter J. Olver, Chehrzad Shakiban, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>