Introduction to Linear Algebra (6版)

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目錄 1. Introduction to vectors 2. Solving linear equations 3. Vector spaces and subspaces 4. Orthogonality 5. Determinants 6. Eigenvalues and eigenvectors 7. Linear transformations 8. Applications 9. Numerical linear algebra 10. Complex vectors and matrices

Introduction to Linear Algebra 6/e (6版)

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Introduction to Linear Algebra 6/e 作者：Gilbert Strang ISBN：9786269708109 年份：2023 出版商：New Moon Education 頁數/規格：440頁/平裝單色 Description Linear algebra now rivals or surpasses calculus in importance for people working in quantitative fields of all kinds: engineers, scientists, economists and business people. Gilbert Strang has taught linear algebra at MIT for more than 50 years and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times and his twelve textbooks are popular with readers worldwide. This sixth edition of Professor Strang's most popular book, Introduction to Linear Algebra, introduces the ideas of independent columns and the rank and column space of a matrix early on for a more active start. Then the book moves directly to the classical topics of linear equations, fundamental subspaces, least squares, eigenvalues and singular values – in each case expressing the key idea as a matrix factorization. The final chapters of this edition treat optimization and learning from data: the most active application of linear algebra today. Everything is explained thoroughly in Professor Strang's characteristic clear style. It is sure to delight and inspire the delight and inspire the next generation of learners. Table of Contents 1 Vectors and Matrices 2 Solving Linear Equations Ax = b 3 The Four Fundamental Subspaces 4 Orthogonality 5 Determinants 6 Eigenvalues and Eigenvectors 7 The Singular Value Decomposition (SVD) 8 Linear Transformations 9 Linear Algebra in Optimization 10 Learning from Data

Introduction to Linear Regression Analysis (6版)

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Introduction to Linear Regression Analysis 6/e +作者：Montgomery +年份：2021 年6 版 +ISBN：9781119578727 +書號：PS0496H +規格：精裝/單色 +頁數：704 +出版商：John Wiley 目錄 1. Introduction 2. Simple Linear Regression 3. Multiple Linear Regression 4. Model Adequacy Checking 5. Transformations and Weighting To Correct Model Inadequacies 6. Diagnostics For Leverage and Influence 7. Polynomial Regression Models 8. Indicator Variables 9. Multicollinearity 10. Variable Selection and Model Building 11. Validation of Regression Models 12. Introduction To Nonlinear Regression 13. Generalized Linear Models 14. Regression Analysis of Time Series Data 15. Other Topics in the Use of Regression Analysis Appendix A. Statistical Tables Appendix B. Data Sets For Exercises Appendix C. Supplemental Technical Material Appendix D. Introduction To SAS Appendix E. Introduction To R To Perform Linear Regression Analysis