Steven C. Chapra (Medford, MA) is Professor of Civil and Environmental Engineering, Tufts University. Retired
The seventh edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. Chapra and Canale's unique approach opens each part of the text with sections called "Motivation," "Mathematical Background," and "Orientation". Each part closes with an "Epilogue" containing "Trade-Offs," "Important Relationships and Formulas," and "Advanced Methods and Additional References." Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Helpful separate Appendices. "Getting Started with MATLAB" and "Getting Started with Mathcad" which make excellent references. Numerous new or revised problems are drawn from actual engineering practice. The expanded breadth of engineering disciplines covered is especially evident in these exercises, which now cover such areas as biotechnology and biomedical engineering. Excellent new examples and case studies span all areas of engineering giving students a broad exposure to various fields in engineering. Users will find use of files for many popular software packages, specifically MATLAB[registered], Excel[registered] with VBA, and Mathcad[registered]. There is also material on developing MATLAB[registered] m-files and VBA macros.
發表於2024-11-18
Numerical Methods for Engineers 2024 pdf epub mobi 電子書 下載
圖書標籤: 算法 數學 數值方法 工程
new book
評分new book
評分數值計算方法非常好的一本書, 方法比大學數值計算更深些, 在方程求解, 梯度下降優化, 綫性與非綫性擬閤, 插值, 綫性方程組求解, 積分和微分, 常微分方程和偏微分方程數值解方麵全麵介紹瞭利用計算機求解的數值方法, 比常規分析解更普遍更實際的解決更多問題, 另外介紹瞭如何用Excel, Matlab, MathCad軟件包解決這些問題。總之,非常適閤流體,機械,化工,信號分析,圖像處理,電路設計等工程數學方麵。
評分數值計算方法非常好的一本書, 方法比大學數值計算更深些, 在方程求解, 梯度下降優化, 綫性與非綫性擬閤, 插值, 綫性方程組求解, 積分和微分, 常微分方程和偏微分方程數值解方麵全麵介紹瞭利用計算機求解的數值方法, 比常規分析解更普遍更實際的解決更多問題, 另外介紹瞭如何用Excel, Matlab, MathCad軟件包解決這些問題。總之,非常適閤流體,機械,化工,信號分析,圖像處理,電路設計等工程數學方麵。
評分數值計算方法非常好的一本書, 方法比大學數值計算更深些, 在方程求解, 梯度下降優化, 綫性與非綫性擬閤, 插值, 綫性方程組求解, 積分和微分, 常微分方程和偏微分方程數值解方麵全麵介紹瞭利用計算機求解的數值方法, 比常規分析解更普遍更實際的解決更多問題, 另外介紹瞭如何用Excel, Matlab, MathCad軟件包解決這些問題。總之,非常適閤流體,機械,化工,信號分析,圖像處理,電路設計等工程數學方麵。
Numerical Methods for Engineers 2024 pdf epub mobi 電子書 下載