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از ساعت 7 صبح تا 10 شب
ویرایش: Repr.
نویسندگان: Robbin. Joel W
سری:
ISBN (شابک) : 9781568810249, 1568810245
ناشر: Peters
سال نشر: 1998
تعداد صفحات: 564
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 108 مگابایت
در صورت تبدیل فایل کتاب Matrix algebra using MINImal MATlab به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب جبر ماتریسی با استفاده از MINImal MATlab نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Half Title Title Page Copyright Page Dedication PREFACE Table of Contents 1: WARMUP 1.1 Clear Thinking 1.2 Logic 1.3 Proofs 1.4 Sets Defining Sets by Enumeration Common Sets Sets and Properties Subsets Boolean Operations Equality of Sets 1.5 Scalars 1.6 Sigma Notation 1.7 The Geometry of Linear Systems 1.8 Using MINIMAT Assignment Statements Complex Numbers Expressions Scalar Built-in Functions . M Functions Format Command Control Structures 2: MATRIX OPERATIONS 2.1 Matrices Defined 2.2 Additive Operations on Matrices 2.3 Multiplicative Operations 2.4 Inverses 2.5 Transpose 2.6 Diagonal Matrices 2.7 Triangular Matrice 2.8 Matrices of Matrices 2.9 Using MINIMAT Creating New Matrices White Space Zero Matrices Random Matrices Identity Matrix Confirming Laws Transpose Inverses and Powers Diagonal Matrices Triangular Matrices Matrices of Matrice Submatrices, Colon Notation Entrywise Operations Some Computer Exercises 2.10 More Exercise Preview of the Exponential Geometric Series 3: INVERTIBLE MATRICES 3.1 Elementary Row Operations 3.2 Elementary Matrice Using MINIMAT 3.3 Reduced Row Echelon Form Gauss-Jordan Elimination Computing the Multiplier Using MINIMAT 3.4 How to Invert Using MINIMAT 3.5 Elementary Column Operations 3.6 Permutation Matrices 3.7 Equivalence Using MINIMAT 4: SUBSPACES 4.1 Linear Systems Using MINIMAT 4.2 Null Space and Range 4.3 Set Equality Using MINIMAT 4.4 Subspaces 4.5 New Subspaces from Old 4.6 Bases Basis for the Null Space Basis for the Range Using MINIMAT 4.7 Bases and Biequivalence Using MINIMAT 4.8 The Range from the RREF Using MINIMAT 4.9 Random Solutions 4.10 Co-bases(*) 5: RANK AND DIMENSION 5.1 The Definition of Dimension Using MINIMAT 5.2 Existence Using MINIMAT 5.3 The Analogy 5.4 Rank and Nullity Using MINIMAT 5.5 One-Sided Inverses Using MINIMAT 5.6 Equivalence 5.7 Uniqueness of the RREF 5.8 More Exercises Characterizations of the Rank A Block Inverse Formula Geometry and Independence Matrix Representation on a Subspace Real Rank vs. Complex Rank 6: GEOMETRY 6.1 Inner Products and Norms Real Inner Products Complex Inner Products Norms 6.2 Geometric Interpretation 6.3 Unitary Matrices 6.4 Orthonormal Bases 6.5 The Gram -Schmidt Decomposition Positive Triangular Matrices The Gram-Schmidt Process Geometric Interpretation 6.6 Using MINIMAT 6.7 Projection (General) 6.8 Projection (Orthogonal) Using MINIMAT 6.9 Least Squares The Best Approximate Solution The Closest Point Using MINIMAT 6.10 More Exercises Submultiplicative Inequality Norms Pauli Matrices and Quaternions 7: DETERMINANTS-I 7.1 Permutations Sign of a Permutation Transpositions Using MINIMAT 7.2 Determinant Defined Easy Properties Computing Determinants Using MINIMAT 7.3 More Exercises Wedge Product Real Equivalence 8: DIAGONALIZATION 8.1 Similarity 8.2 Eigenvalues and Eigenvectors 8.3 Computing Eigenvalues Using MINIMAT 8.4 The Characteristic Polynomial Using MINIMAT 8.5 Multiplicity 8.6 More Exercises Real Similarity 9: DIFFERENTIAL EQUATIONS 9.1 Derivatives 9.2 Similarity and Differential Equations 9.3 Similarity and Powers Using MINIMAT 9.4 Matrix Polynomials 9.5 Matrix Power Series 9.6 The Matrix Exponential Using MINIMAT 9.7 The Companion Matrix Using MINIMAT 10: HERMITIAN MATRICES 10.1 Hermitian Matrices Defined 10.2 Unitary Diagonalization Using MINIMAT 10.3 Schur’s Theorem Using MINIMAT 10.4 Spectral Theorem 10.5 Normal Spectral Theorem 10.6 Invariants 10.7 More Exercises Real Normal Matrices Positive Semidefinite Matrices Skew-Hermitian matrices Invariant subspaces Conic sections 11: TRIANGULAR MATRICES 11.1 Definitions 11.2 Factorization 11.3 Equivalence 11.4 The LU Decomposition 11.5 Uniqueness 11.6 Using MINIMAT 11.7 More Exercises Back Substitution Factorization Theorems 2 x 2 LU and Bruhat Related Decompositions Uniqueness of the LENF Gershgorin’s Theorem Real Triangular Equivalence 12: UNITARY MATRICES 12.1 Reflections Using MINIMAT 12.2 Unitary Equivalence 12.3 Householder Decomposition Using MINIMAT 12.4 Unitary Factorization Using MINIMAT 12.5 Singular Values 12.6 Singular Value Decomposition 12.7 Invariants 12.8 More Exercises Real Unitary Equivalence Submultiplicative Norms Polar Decomposition Using MINIMAT 13: BLOCK DIAGONALIZATION 13.1 Generic Diagonalization 13.2 Monotriangular Block Diagonal Form (MTBDF) 13.3 Using MINIMAT 13.4 Nilpotent Matrices 13.5 Chevalley Decomposition Using MINIMAT 13.6 More Exercises Diagonalization Generalized Eigenspaces Matrix Exponential Minimal Polynomial Chevalley Decomposition 14: JORDAN NORMAL FORM 14.1 Similarity Invariants 14.2 Jordan Normal Form 14.3 Indecomposable Jordan Blocks 14.4 Partitions 14.5 Weyr Characteristic 14.6 Segre Characteristic 14.7 Jordan-Segre Basis 14.8 Improved Rank Nullity Relation 14.9 Proof of the Jordan Normal Form Theorem 14.10 More Exercises 14.11 Using MINIMAT 15: DETERMINANTS-II 15.1 Cofactors 15.2 The Companion Matrix 15.3 Adjoint 15.4 Cramer’s Rule Using MINIMAT 15.5 Derivative of the Determinant 15.6 The Souriau-Frame Algorithm A: PROOFS A.1 Matrix Algebra A.2 Block Multiplication A.3 The Fundamental Theorem B: MATHEMATIC ALINDUCTION C: SUMMARY OF MINIMAT C.1 Some Operations in MINIMAT C.2 Columnwise Operations C.3 Scalar Built-in Functions C.4 Matrix Built-in Functions C.5 Subscripts in MINIMAT C.6 MINIMAT’s Entrywise Operations C.7 Logical Operations C.8 Control Structures If, Elseif, Else For While Break Return C.9 .M Functions Used in this Book C.10 Miscellaneous Functions C.11 Empty Matrices D: ANSWERS E: MINIMAT Tutorial (PC Version) E.1 Before You Begin E.2 Starting Up E.3 The Prompt E.4 Sample Session E.5 Function Keys and Menus E.6 Snow and Color E.7 Transcript E.8 Recall E.9 Diary E.10 SaveAs E.11 Viewing the Diary E.12 Comments E.13 Homework E.14 Editing and Shell Escape F: INDEX