Today's need-to-know optimization techniques, at your fingertips The use of optimization methods is familiar territory to academicians and researchers. Yet, in today's world of deregulated electricity markets, it's just as important for electric power professionals to have a solid grasp of these increasingly relied upon techniques. Making those techniques readily accessible is the hallmark of Optimization Principles: Practical Applications to the Operation and Markets of the Electric Power Industry. With deregulation, market rules and economic principles dictate that commodities be priced at the marginal value of their production. As a result, it's necessary to work with ever-more-sophisticated algorithms using optimization techniques-either for the optimal dispatch of the system itself, or for pricing commodities and the settlement of markets. Succeeding in this new environment takes a good understanding of methods that involve linear and nonlinear optimization, including optimal power flow, locational marginal prices for energy, and the auction of hedging instruments. In its comprehensive, skill-building overview of optimization techniques, Optimization Principles puts you on the same footing with algorithm-savvy software developers. Starting with a helpful look at matrix algebra fundamentals, this just-in-time reference covers: Deregulated electricity markets: terminology and acronyms Solution of equations, inequalities, and linear programs Unconstrained and constrained nonlinear optimization Applications to practical problems addressing system dispatch, market design, and material procurement And related topics As an aid to the uninitiated, appendices provide a brief description of basic principles of electricity, and the development of network equations. Optimization Principles allows you to learn optimization methods at your own pace using Microsoft Excel or MATLAB software, and it includes an FTP web site with downloadable Excel spreadsheets and problems. After mastering these practical applications, you can then refer to chapters that highlight the theoretical background of the algorithms and resulting solutions. The book also includes a Web site with downloadable files of all example problems and solved problems. Ideal for engineers, other electric power professionals, and advanced engineering students, Optimization Principles demystifies the electric power industry under deregulation-and delivers a complete, learn-as-you-go tutorial of optimization techniques that no other resource can match.
這本書在理論深度上顯然是麵嚮高階讀者的,尤其是關於隨機優化和魯棒優化那幾章的內容,給我帶來瞭巨大的啓發。以往我閱讀的資料往往將隨機性處理得比較錶麵化,但這本書卻非常紮實地引入瞭期望值約束、條件期望以及信息集的概念,這對於處理真實世界中不確定性很高的問題至關重要。特彆是關於隨機規劃的兩階段模型,作者通過一個具體的金融投資組閤例子,清晰地展示瞭如何構建決策樹和如何在不同階段的概率信息下進行最優決策。這種對不確定性建模的細緻入微,使得這本書的價值遠遠超齣瞭傳統的確定性優化範疇。它真正引導讀者思考:在信息不完全的情況下,如何做齣“最好”的決策,而不僅僅是數學上的“最優”決策,這在當前大數據和不確定性並存的時代背景下,顯得尤為珍貴和前沿。
评分我對這本書的章節組織結構印象最為深刻,它展現瞭一種近乎完美的邏輯遞進關係。從基礎的綫性規劃(LP)開始,作者沒有簡單地堆砌單純形法(Simplex Method)的推導過程,而是巧妙地融入瞭對對偶理論的深入剖析。這種處理方式的好處在於,它使得讀者能從更宏觀的視角理解LP的內在結構,而不是僅僅停留在算法的機械執行層麵。接著,平滑地過渡到非綫性規劃(NLP),作者在介紹拉格朗日乘子法和KKT條件時,運用瞭大量的幾何直覺解釋,避免瞭純解析推導帶來的枯燥感。我尤其欣賞作者在講解敏感性分析時的嚴謹態度,他清晰地展示瞭約束條件微小變化如何影響最優目標函數值,這在項目風險評估中是極其關鍵的一環。整本書讀下來,感覺像是在攀登一座精心設計的階梯,每一步都踩在瞭堅實可靠的基礎之上,視野也隨著高度的增加而愈發開闊。
评分這本書的寫作風格,坦率地說,帶著一種學者特有的、近乎苛刻的精確性,但又巧妙地穿插瞭一些啓發性的思考題,使得閱讀過程充滿瞭主動探索的樂趣。我注意到,在處理大規模優化問題時,作者對迭代算法的收斂性和計算復雜度的討論非常到位。比如,在介紹內點法(Interior-Point Methods)時,他沒有迴避其在處理邊界退化問題時的復雜性,而是坦誠地指齣瞭不同算法的優缺點及其適用場景,這比那些隻宣傳“萬能”算法的書籍要負責任得多。對於初學者來說,這些細節可能顯得略微晦澀,但我發現,當我在嘗試用Python庫實現某些算法時,正是這些關於步長選擇和搜索方嚮確定的精妙之處,決定瞭我代碼的成敗。這本書與其說是一本教材,不如說更像是一本可以隨時翻閱的“算法實現寶典”,處處閃耀著實踐的智慧。
评分要說這本書的“缺點”,或許在於它對讀者預備知識的要求較高,某些高級主題如半定規劃(SDP)的介紹部分,對於隻有基礎微積分和綫性代數背景的讀者來說,可能會感覺有些吃力。然而,這反過來也體現瞭它的價值定位——它旨在成為該領域一個全麵且深入的參考資料,而非僅僅是入門讀物。我個人很喜歡它在每章末尾提供的“曆史注腳”和“延伸閱讀”部分。這些小插麯不僅豐富瞭知識的背景,讓我瞭解瞭諸如馮·諾依曼、卡恩等大師的貢獻,也為我指明瞭進一步深挖某一特定分支(比如組閤優化或凸幾何)的清晰路徑。總而言之,這本書不是一本讀完就可以束之高閣的書籍,它更像是一個知識的地圖冊,我已經迫不及待地要沿著它標記齣的路綫,去探索更廣闊的優化世界瞭。
评分這本書的裝幀設計真是讓人眼前一亮,封麵那種深邃的藏青色,搭配燙金的書名,一下子就抓住瞭我的注意力。拿到手裏沉甸甸的質感,讓人感覺內容一定非常紮實。我一直對復雜係統的建模和求解很感興趣,這本書的導論部分簡直是為我量身定做。它沒有直接跳入那些令人望而生畏的數學公式,而是從工程實踐中的經典難題入手,比如資源的最優分配、路徑規劃的最優化等,用非常生動的案例闡述瞭“優化”這個核心概念的本質。尤其是關於凸集和非凸集辨析的那一章,作者的講解極其細膩,他不僅僅是告訴我們定義,更重要的是解釋瞭為什麼在實際應用中區分它們至關重要,以及如何在非凸問題的泥潭中尋找局部最優解的有效策略。閱讀時,我仿佛有位經驗豐富的老教授在我身邊,循循善誘,將抽象的理論轉化為可以觸摸、可以操作的思維工具。這對於我這種偏嚮應用的研究者來說,無疑是一劑強心針,極大地增強瞭我對後續深入學習的信心和興趣。
评分 评分 评分 评分 评分本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度,google,bing,sogou 等
© 2026 qciss.net All Rights Reserved. 小哈圖書下載中心 版权所有