关于统计推理的电子书,最新版本,经典著作,总页数为381页
2021-10-14 21:07:24 7.55MB Statistical Inference
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经典之作,收藏
2021-10-10 20:50:14 31.73MB 应用泛函分析
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APPLIED NUMERICAL LINEAR ALGEBRA James W. Demmel University of California Berkeley, California Society for Industrial and Applied Mathematics Philadelphia Contents Preface ix 1 Introduction 1 1.1 Basic Notation 1 1.2 Standard Problems of Numerical Linear Algebra 1 1.3 General Techniques 2 1.3.1 Matrix Factorizations 3 1.3.2 Perturbation Theory and Condition Numbers 4 1.3.3 Effects of Roundoff Error on Algorithms 5 1.3.4 Analyzing the Speed of Algorithms 5 1.3.5 Engineering Numerical Software 6 1.4 Example: Polynomial Evaluation 7 1.5 Floating Point Arithmetic 9 1.5.1 Further Details 12 1.6 Polynomial Evaluation Revisited 15 1.7 Vector and Matrix Norms 19 1.8 References and Other Topics for Chapter 1 23 1.9 Questions for Chapter 1 24 2 Linear Equation Solving 31 2.1 Introduction 31 2.2 Perturbation Theory 32 2.2.1 Relative Perturbation Theory 35 2.3 Gaussian Elimination 38 2.4 Error Analysis 44 2.4.1 The Need for Pivoting 45 2.4.2 Formal Error Analysis of Gaussian Elimination 46 2.4.3 Estimating Condition Numbers 50 2.4.4 Practical Error Bounds 54 2.5 Improving the Accuracy of a Solution 60 2.5.1 Single Precision Iterative Refinement 62 2.5.2 Equilibration 62 2.6 Blocking Algorithms for Higher Performance 63 2.6.1 Basic Linear Algebra Subroutines (BLAS) 66 2.6.2 How to Optimize Matrix Multiplication 67 2.6.3 Reorganizing Gaussian Elimination to Use Level 3 BLAS 72 2.6.4 More About Parallelism and Other Performance Issues . 75 vi Contents 2.7 2.8 2.9 Special Linear Systems 2.7.1 Real Symmetric Positive Definite Matrices 2.7.2 Symmetric Indefinite Matrices 2.7.3 Band Matrices 2.7.4 General Sparse Matrices 2.7.5 Dense Matrices Depending on Fewer Than O(n2) Pa- rameters References and Other Topics for Chapter 2 Questions for Chapter 2 76 76 79 79 83 90 93 93 3 Linear Least Squares Problems 101 3.1 Introduction 101 3.2 Matrix Factorizations That Solve the Linear Least Squares Prob- lem 105 3.2.1 Normal Equations 106 3.2.2 QR Decomposition 107 3.2.3 Singular Value Decompos
2021-10-10 20:43:28 2.64MB Applied Numerical Linear Algebra
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卡尔曼滤波经典书籍,Introduction To Random Signals And Applied Kalman Filtering,英文原版第3版
2021-10-10 14:36:59 48.82MB 卡尔曼滤波
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将简单的解释与大量的实际示例结合起来,提供了一种创新的线性代数教学方法。 不需要先验知识,它涵盖线性代数的各个方面-向量,矩阵和最小二乘
2021-10-09 19:41:47 125B 数学
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Introduction to Applied Linear Algebra(线性代数应用) Stephen Boyd Department of Electrical Engineering Stanford University Lieven Vandenberghe Department of Electrical and Computer Engineering University of California, Los Angeles
2021-10-02 15:15:16 6.82MB Introd Stephe 线性代数及其 线性代数
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【2018新书】应用线性代数与矩阵分析(Applied Linear Algebra and Matrix Analysis, 2ed)
2021-09-29 21:23:52 8.17MB 线性代数 矩阵分析 人工智能
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Applied_Logistic_Regression_3rd_2013 第3版,关于logistic regression比较详细的书
2021-09-27 17:37:12 5.54MB book
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感应电机智能控制,英文高清版本 ,Applied Intelligent Control of Induction Motor Drives
2021-09-22 15:14:58 19.64MB intelligent control induction motor
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Applied Partial Differential Equations - A Visual Approach - P. Markowich (Springer, 2007) WW.pdf
2021-09-20 20:02:25 15.76MB Applied Partial Differential Equations
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