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Elementary Linear Algebra 11th Edition by Howard Anton and Chris Rorres pdf free download. ThistextbookisanexpandedversionofElementaryLinearAlgebra,eleventhedition,by Howard Anton. The ﬁrst nine chapters of this book are identical to the ﬁrst nine chapters of that text; the tenth chapter consists of twenty applications of linear algebra drawn frombusiness,economics,engineering,physics,computerscience,approximationtheory, ecology, demography, and genetics. The applications are largely independent of each other, and each includes a list of mathematical prerequisites. Please make a comment if the link is not working for you.I appreciate your valuable comments and suggestions. For more books please visit our site. © , Amazon.com, Inc. or its affiliates C H A P T E R 1 Systems of Linear Equations and Matrices 1.1 Introduction to Systems of Linear Equations 1.2 Gaussian Elimination 1.3 Matrices and Matrix Operations 1.4 Inverses; Algebraic Properties of Matrices 1.5 Elementary Matrices and a Method for Finding A−1 1.6 More on Linear Systems and Invertible Matrices 1.7 Diagonal, Triangular, and Symmetric Matrices 1.8 Matrix Transformations 1.9 Applications of Linear Systems • Network Analysis (Traffic Flow) • Electrical Circuits • Balancing Chemical Equations • Polynomial Interpolation 1.10 Application: Leontief Input-Output Models C H A P T E R 2 Determinants 2.1 Determinants by Cofactor Expansion 2.2 Evaluating Determinants by Row Reduction 2.3 Properties of Determinants; Cramers Rule C H A P T E R 3 Euclidean Vector Spaces 3.1 Vectors in 2-Space, 3-Space, and n-Space 3.2 Norm, Dot Product, and Distance in Rn 3.3 Orthogonality 3.4 The Geometry of Linear Systems 3.5 Cross Product C H A P T E R 4 General Vector Spaces 4.1 Real Vector Spaces 4.2 Subspaces 4.3 Linear Independence 4.4 Coordinates and Basis 4.5 Dimension 4.6 Change of Basis 4.7 Row Space, Column Space, and Null Space 4.8 Rank, Nullity, and the Fundamental Matrix Spaces 4.9 Basic Matrix Transformations in R2 and R3 4.10 Properties of Matrix Transformations 4.11 Application: Geometry of Matrix Operators on R2 C H A P T E R 5 Eigenvalues and Eigenvectors 5.1 Eigenvalues and Eigenvectors 5.2 Diagonalization 5.3 Complex Vector Spaces 5.4 Application: Differential Equations 5.5 Application: Dynamical Systems and Markov Chains C H A P T E R 6 Inner Product Spaces 6.1 Inner Products 6.2 Angle and Orthogonality in Inner Product Spaces 6.3 Gram–Schmidt Process; QR-Decomposition 6.4 Best Approximation; Least Squares 6.5 Application: Mathematical Modeling Using Least Squares 6.6 Application: Function Approximation; Fourier Series C H A P T E R 7 Diagonalization and Quadratic Forms 7.1 Orthogonal Matrices 7.2 Orthogonal Diagonalization 7.3 Quadratic Forms 7.4 Optimization Using Quadratic Forms 7.5 Hermitian, Unitary, and Normal Matrices C H A P T E R 8 General Linear Transformations 8.1 General Linear Transformation 8.2 Compositions and Inverse Transformations 8.3 Isomorphism 8.4 Matrices for General Linear Transformations 8.5 Similarity C H A P T E R 9 Numerical Methods 9.1 LU-Decompositions 9.2 The Power Method 9.3 Comparison of Procedures for Solving Linear Systems 9.4 Singular Value Decomposition 9.5 Application: Data Compression Using Singular Value Decomposition A P P E N D I X A Working with Proofs A P P E N D I X B Complex Numbers Answers to Exercises Index 34% 모나미 153 윤동주별자리 16,500원 34% 교육용게임 고피쉬시리즈 9,900원 29% 피크닉 와인잔 세트 14,000원 13% 로지텍 무선키보드 139,000원 20% 디즈니 쇼파 무선충전기 39,900원 31% 접이식탁상용 휴대폰거치대 8,900원 46% 이룸 프라임 2단 독서대 29,000원 52% 정리전문가 대용량보관함 8,500원 18% 동물펭수 차량용방향제 11,900원 34% 샤오미 레트로만년필 13,800원 68% 힐링바이펭 오거나이저 8,000원 20% 모나미 프러스펜60색 22,400원 Academia.edu uses cookies to personalize content, tailor ads and improve the user experience.By using our site, you agree to our collection of information through the use of cookies.To learn more, view our Privacy Policy.
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