Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms (Hardcover)
暫譯: 數值方法:演算法的設計、分析與電腦實作(精裝版)
Anne Greenbaum, Timothy P. Chartier
- 出版商: Princeton University
- 出版日期: 2012-04-01
- 售價: $1,235
- 語言: 英文
- 頁數: 464
- 裝訂: Hardcover
- ISBN: 0691151229
- ISBN-13: 9780691151229
-
相關分類:
Algorithms-data-structures
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商品描述
<內容簡介>
Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as information retrieval and animation, and classical topics from physics and engineering. Exercises use MATLAB and promote understanding of computational results.
The book gives instructors the flexibility to emphasize different aspects--design, analysis, or computer implementation--of numerical algorithms, depending on the background and interests of students. Designed for upper-division undergraduates in mathematics or computer science classes, the textbook assumes that students have prior knowledge of linear algebra and calculus, although these topics are reviewed in the text. Short discussions of the history of numerical methods are interspersed throughout the chapters. The book also includes polynomial interpolation at Chebyshev points, use of the MATLAB package Chebfun, and a section on the fast Fourier transform. Supplementary materials are available online.
<章節目錄>
Preface
Ch1: MATHEMATICAL MODELING
Ch 2: BASIC OPERATIONS WITH MATLAB
Ch3: MONTE CARLO METHODS
Ch4: SOLUTION OF A SINGLE NONLINEAR EQUATION IN ONE UNKNOWN
Ch5: FLOATING-POINT ARITHMETIC
Ch6: CONDITIONING OF PROBLEMS; STABILITY OF ALGORITHMS
Ch7: DIRECT METHODS FOR SOLVING LINEAR SYSTEMS AND LEAST SQUARES PROBLEMS
Ch8: POLYNOMIAL AND PIECEWISE POLYNOMIAL INTERPOLATION
Ch9: NUMERICAL DIFFERENTIATION AND RICHARDSON EXTRAPOLATION
Ch10: NUMERICAL INTEGRATION
Ch11: NUMERICAL SOLUTION OF THE INITIAL VALUE PROBLEM FOR ORDINARY DIFFERENTIAL EQUATIONS
Ch12: MORE NUMERICAL LINEAR ALGEBRA: EIGENVALUES AND ITERATIVE METHODS FOR SOLVING LINEAR SYSTEMS
Ch13: NUMERICAL SOLUTION OF TWO-POINT BOUNDARY VALUE PROBLEMS
Ch14: NUMERICAL SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONS
APPENDIX A REVIEW OF LINEAR ALGEBRA
APPENDIX B TAYLOR'S THEOREM IN MULTIDIMENSIONS
References
Index
商品描述(中文翻譯)
內容簡介
《數值方法》清晰且簡明地探討了標準數值分析主題以及非傳統主題,包括數學建模、蒙地卡羅方法、馬可夫鏈和分形。書中充滿了吸引人的範例,能夠激勵學生,並考慮到現代應用領域,如資訊檢索和動畫,以及物理和工程的經典主題。練習題使用 MATLAB,並促進對計算結果的理解。
本書為教師提供了靈活性,可以根據學生的背景和興趣,強調數值演算法的不同方面——設計、分析或計算機實現。該教材設計為數學或計算機科學課程的高年級本科生,假設學生具備線性代數和微積分的先前知識,儘管這些主題在文本中有回顧。各章節中穿插了數值方法歷史的簡短討論。本書還包括在切比雪夫點的多項式插值、使用 MATLAB 套件 Chebfun,以及快速傅立葉變換的部分。補充材料可在線獲得。
章節目錄
前言
第1章:數學建模
第2章:MATLAB 的基本操作
第3章:蒙地卡羅方法
第4章:單一未知數非線性方程的解
第5章:浮點運算
第6章:問題的條件性;演算法的穩定性
第7章:解線性系統和最小二乘問題的直接方法
第8章:多項式和分段多項式插值
第9章:數值微分和理查森外推
第10章:數值積分
第11章:常微分方程初值問題的數值解
第12章:更多數值線性代數:特徵值和解線性系統的迭代方法
第13章:二點邊界值問題的數值解
第14章:偏微分方程的數值解
附錄 A:線性代數回顧
附錄 B:多維的泰勒定理
參考文獻
索引