Advanced Numerical Simulations in Mechanical Engineering 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
2021-10-22 12:18:05 13.7MB Advanced Numerical Simulations Mechanical
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This is a book for people interested in solving optimization problems. Because of the wide (and growing) use of optimization in science, engineering, economics, and industry, it is essential for students and practitioners alike to develop an understanding of optimization algorithms. Knowledge of the capabilities and limitations of these algorithms leads to a better understanding of their impact on various applications, and points the way to future research on improving and extending optimization algorithms and software. Our goal in this book is to give a comprehensive description of the most powerful, state-of-the-art, techniques for solving continuous optimization problems. By presenting the motivating ideas for each algorithm, we try to stimulate the reader’s intuition and make the technical details easier to follow. Formal mathematical requirements are kept to a minimum.
2021-10-16 20:47:04 4.2MB Wright Numerical Optimization
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本书主要论述如下四个问题:1.Compressive Sensing and Structured Random Matrices; 2.Numerical Methods for Sparse Recovery; 3.Sparse Recovery in Inverse Problems; 4.An Introduction to Total Variation for Image Analysis.
2021-10-16 00:03:36 3.26MB 稀疏恢复
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Numerical Recipes - The Art of Scientific Computing(3rd)【数值分析方法库pdf】无水印 [数值分析方法库].Cambridge.Press.Numerical.Recipes.3rd.Edition Numerical Recipes - The Art of Scientific Computing(3rd) 无水印pdf Numerical Recipes - The Art of Scientific Computing(3rd) 英文无水印pdf 第3版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除
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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Numerical Recipe 数字配方 经典 Numerical Recipe 数字配方 经典Numerical Recipe 数字配方 经典
2021-10-10 05:55:40 41.08MB 数字配方 Numerical Re
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Numerical Methods in Engineering with Python 3 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
2021-10-02 15:11:52 7.38MB Numerical Methods Engineering Python
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一本介绍数值方法工程应用的电子书,主要的编程语言是Python,Cambridge Press出版,讲解清晰,通俗易懂,值得推荐。
2021-10-02 15:11:33 1.78MB Python 数值方法 机器学习
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Numerical Analysis(数值分析).Timothy Sauer( 2nd ed) Timothy Sauer的这本《数值分析》通俗易懂,主线明晰,程序丰富,具有突出的几何洞见和严密性,是工科生学数值分析的首选入门教材。理论的严格和理解的通俗并不相违背,没必要像有的教材那般云里雾里,故作高深。本书为高清第二版pdf,直接解压即可,有感于本网站其他相同资料积分太贵,特此分享,希望对大家有所帮助。
2021-09-30 15:03:43 7.48MB Numerical An 数值分析 Timothy
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