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عنوان
Principles of Linear Algebra with Mathematica

پدید آورنده
/ Kenneth Shiskowski, Karl Frinkle

موضوع
Algebras, Linear - Data processing,Mathematica (Computer file),جبر خطی - داده پردازی,متمتیکا(فایل کامپیوتر)

رده
QA185
.
D37
,
S454
2011

کتابخانه
Library of Foreign Languages and Islamic Sources

محل استقرار
استان: Qom ـ شهر: Qom

Library of Foreign Languages and Islamic Sources

تماس با کتابخانه : 37839111

NATIONAL BIBLIOGRAPHY NUMBER

Country Code
IR
Number
995869

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

COUNTRY OF PUBLICATION OR PRODUCTlON

Country of publication
IR

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Principles of Linear Algebra with Mathematica
General Material Designation
[Book]
First Statement of Responsibility
/ Kenneth Shiskowski, Karl Frinkle

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Hoboken, N.J.
Name of Publisher, Distributor, etc.
: Wiley
Date of Publication, Distribution, etc.
, 2011.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xiv, 598 p.
Other Physical Details
: , ill

SERIES

Series Title
(Pure and Applied Mathematics)

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Print

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Bibliography

EXTERNAL INDEXES/ABSTRACTS/REFERENCES NOTE

Name of source
Index

CONTENTS NOTE

Text of Note
Machine generated contents note: Preface.Conventions and Notations.- 1. An Introduction to Mathematica: 1.1 The Very Basics.1.2 Basic Arithmetic.1.3 Lists and Matrices.1.4 Expressions Versus Functions.1.5 Plotting and Animations.1.6 Solving Systems of Equations.1.7 Basic Programming.- 2. Linear Systems of Equations and Matrices: 2.1 Linear Systems of Equations.2.2 Augmented Matrix of a Linear System and Row Operations.2.3 Some Matrix Arithmetic.- 3. Gauss-Jordan Elimination and Reduced Row Echelon Form: 3.1 Gauss-Jordan Elimination and rref.3.2 Elementary Matrices.3.3 Sensitivity of Solutions to Error in the Linear System.4. Applications of Linear Systems and Matrices.4.1 Applications of Linear Systems to Geometry.4.2 Applications of Linear Systems to Curve Fitting.4.3 Applications of Linear Systems to Economics.4.4 Applications of Matrix Multiplication to Geometry.4.5 An Application of Matrix Multiplication to Economics.- 5. Determinants, Inverses, and Cramer' Rule: 5.1 Determinants and Inverses from the Adjoint Formula.5.2 Determinants by Expanding Along Any Row or Column.5.3 Determinants Found by Triangularizing Matrices.5.4 LU Factorization.5.5 Inverses from rref.5.6 Cramer's Rule.- 6. Basic Linear Algebra Topics: 6.1 Vectors.6.2 Dot Product.6.3 Cross Product.6.4 A Vector Projection.- 7. A Few Advanced Linear Algebra Topics: 7.1 Rotations in Space.7.2 "Rolling" a Circle Along a Curve.7.3 The TNB Frame.- 8. Independence, Basis, and Dimension for Subspaces of Rn: 8.1 Subspaces of Rn.8.2 Independent and Dependent Sets of Vectors in Rn.8.3 Basis and Dimension for Subspaces of Rn.8.4 Vector Projection onto a subspace of Rn.8.5 The Gram-Schmidt Orthonormalization Process.- 9. Linear Maps from Rn to Rm: 9.1 Basics About Linear Maps.9.2 The Kernel and Image Subspaces of a Linear Map.9.3 Composites of Two Linear Maps and Inverses.9.4 Change of Bases for the Matrix Representation of a Linear Map.- 10. The Geometry of Linear and Affine Maps: 10.1 The Effect of a Linear Map on Area and Arclength in Two Dimensions.10.2 The Decomposition of Linear Maps into Rotations, Reflections, and Rescalings in R2.10.3 The Effect of Linear Maps on Volume, Area, and Arclength in R3. 10.4 Rotations, Reflections, and Rescalings in Three Dimensions.10.5 Affine Maps.- 11. Least-Squares Fits and Pseudoinverses: 11.1 Pseudoinverse to a Nonsquare Matrix and Almost Solving an Overdetermined Linear System.11.2 Fits and Pseudoinverses.11.3 Least-Squares Fits and Pseudoinverses.- 12. Eigenvalues and Eigenvectors: 12.1 What Are Eigenvalues and Eigenvectors, and Why Do We Need Them?12.2 Summary of Definitions and Methods for Computing Eigenvalues and Eigenvectors as well as the Exponential of a Matrix.12.3 Applications of the Diagonalizability of Square Matrices.12.4 Solving a Square First-Order Linear System if Differential Equations.12.5 Basic Facts About Eigenvalues, Eigenvectors, and Diagonalizability.12.6 The Geometry of the Ellipse Using Eigenvalues and Eigenvectors.12.7 A Mathematica EigenFunction.Suggested Reading.Indices.Keyword Index.Index of Mathematica Commands.

TOPICAL NAME USED AS SUBJECT

Algebras, Linear - Data processing
Mathematica (Computer file)
جبر خطی - داده پردازی
متمتیکا(فایل کامپیوتر)

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA185
Book number
.
D37
,
S454
2011

PERSONAL NAME - PRIMARY RESPONSIBILITY

Shiskowski, Kenneth, 1954-

PERSONAL NAME - SECONDARY RESPONSIBILITY

Frinkle, Karl، 1977-

ORIGINATING SOURCE

Country
ایران
Agency
Library of Foreign Languages and Islamic resource

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

old catalog

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