Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.Drawing on their experiences in teaching, research, and consulting, the authors have produced a textbook that will be of interest to students and practitioners alike. Each chapter begins with the basic concepts and builds up gradually to the best techniques currently available.Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field.Above all, the authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.MMOR Mathematical Methods of Operations Research, 2001: "The book looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."
發表於2024-12-22
Numerical Optimization 2024 pdf epub mobi 電子書 下載
兩位作者都來自CS專業,在優化領域享有崇高地位,都是SIAM的Fellow。這本書主要講連續優化,理論性很強,從最簡單的牛頓法,梯度,再到有約束的優化問題中的對偶,KKT,單純性等方法,最後再到非綫性領域的罰函數和內點法,一氣嗬成,看的不光是數學,也是優化領域的發展史。 ...
評分數值優化領域的力作。寫的非常好。Nocedal和wright在優化領域有著豐富的經驗和知識,在第一版的基礎上增強瞭二十一世紀前幾年的最新進展,內點法。算法流程清晰,原理清楚。適閤學生和研究者參閱。
評分兩位作者都來自CS專業,在優化領域享有崇高地位,都是SIAM的Fellow。這本書主要講連續優化,理論性很強,從最簡單的牛頓法,梯度,再到有約束的優化問題中的對偶,KKT,單純性等方法,最後再到非綫性領域的罰函數和內點法,一氣嗬成,看的不光是數學,也是優化領域的發展史。 ...
評分兩位作者都來自CS專業,在優化領域享有崇高地位,都是SIAM的Fellow。這本書主要講連續優化,理論性很強,從最簡單的牛頓法,梯度,再到有約束的優化問題中的對偶,KKT,單純性等方法,最後再到非綫性領域的罰函數和內點法,一氣嗬成,看的不光是數學,也是優化領域的發展史。 ...
評分兩位作者都來自CS專業,在優化領域享有崇高地位,都是SIAM的Fellow。這本書主要講連續優化,理論性很強,從最簡單的牛頓法,梯度,再到有約束的優化問題中的對偶,KKT,單純性等方法,最後再到非綫性領域的罰函數和內點法,一氣嗬成,看的不光是數學,也是優化領域的發展史。 ...
圖書標籤: optimization 優化 數學 算法 機器學習 numerical Mathematics 計算機科學
講得很清楚
評分看瞭快兩遍瞭,還是不知道看的啥,我類個去!
評分真的很重要,沒事要多翻一翻的書
評分這是我讀過的最容易跟上的優化書籍。比 Boyd 那本好讀多瞭。
評分看瞭快兩遍瞭,還是不知道看的啥,我類個去!
Numerical Optimization 2024 pdf epub mobi 電子書 下載