線性代數 (第6版)-英文 吉爾伯特.斯特朗 9787302668077 【台灣高等教育出版社】
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物品所在地：中國大陸
原出版社：清華大學
物品所在地：中國大陸
原出版社：清華大學
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| *完成訂單後正常情形下約兩周可抵台。 *本賣場提供之資訊僅供參考，以到貨標的為正確資訊。 印行年月：202407*若逾兩年請先於私訊洽詢存貨情況，謝謝。 台灣(台北市)在地出版社，每筆交易均開具統一發票，祝您中獎最高1000萬元。 書名：線性代數 (第6版)-英文 ISBN：9787302668077 出版社：清華大學 著編譯者：吉爾伯特.斯特朗 頁數：430 所在地：中國大陸 *此為代購商品 書號：1675586 可大量預訂，請先連絡。 內容簡介 本書內容包括行列式、矩陣、線性方程組與向量、矩陣的特徵值與特徵向量、二次型及Mathematica軟體的應用等。每章都配有習題，書後給出了習題答案。本書在編寫中力求重點突出、由淺入深、通俗易懂，努力體現教學的適用性。本書可作為高等院校工科專業的學生的教材，也可作為其他非數學類本科專業學生的教材或教學參考書目錄 1 Vectors and Matrices1 1 Vectors and Linear Combinations 1 2 Lengths and Angles from Dot Products 1 3 Matrices and Their Column Spaces 1 4 Matrix Multiplication AB and CR 2 Solving Linear Equations Ax=b 2 1 Elimination and Back Substitution 2 2 Elimination Matrices and Inverse Matrices 2 3 Matrix Computations and A=LU 2 4 Permutations and Transposes 2 5 Derivatives and Finite Difference Matrices 3 The Four Fundamental Subspaces 3 1 Vector Spaces and Subspaces 3 2 Computing the Nullspace by Elimination: A=CR 3 3 The Complete Solution to Ax=b 3 4 Independence， Basis， and Dimension 3 5 Dimensions of the Four Subspaces 4 Orthogonality 4 1 Orthogonality of Vectors and Subspaces 4 2 Projections onto Lines and Subspaces 4 3 Least Squares Approximations 4 4 Orthonormal Bases and Gram-Schmidt 4 5 The Pseudoinverse of a Matrix 5 Determinants 5 1 3 by 3 Determinants and Cofactors 5 2 Computing and Using Determinants 5 3 Areas and Volumes by Determinants 6 Eigenvalues and Eigenvectors 6 1 Introduction to Eigenvalues: Ax=Xx 6 2 Diagonalizing a Matrix 6 3 Symmetric Positive Definite Matrices 6 4 Complex Numbers and Vectors and Matrices 6 5 Solving Linear Differential Equations 7 The Singular Value Decomposition (SVD) 7 1 Singular Values and Singular Vectors 7 2 Image Processing by Lincar Algebra 7 3 Principal Component Analysis (PCA by the SVD) 8 Linear Transformations 8 1 The Idea of a Linear Transformation 8 2 The Matrix of a Linear Transformation 8 3 The Search for a Good Basis 9 Linear Algebra in Optimization 9 1 Minimizing a Multivariable Function 9 2 Backpropagation and Stochastic Gradient Descent 9 3 Constraints， Lagrange Multipliers， Minimum Norms 9 4 Linear Programming， Game Theory， and Duality 10 Learning from Data 10 1 Piecewise Linear Learning Functions 10 2 Creating and Experimenting 10 3 Mean， Variance， and Covariance Appendix 1 The Ranks of AB and A+ B due i Appendix 2 Matrix Factorizations Appendix 3 Counting Parameters in the Basic Factorizations Appendix 4 Codes and Algorithms for Numerical Linear Algebra Appendix 5 The Jordan Form of a Square Matrix Appendix 6 Tensors Appendix 7 The Condition Number of a Matrix Problem Appendix 8 Markov Matrices and Perron-Frobenius Appendix 9 Elimination and Factorization Appendix 10 Computer Graphics Index of Equations Index of Notations Index 詳細資料或其他書籍請至台灣高等教育出版社查詢，查後請於PChome商店街私訊告知ISBN或書號，我們即儘速上架。 |
