Mathematics for Engineers
暫譯: 工程師的數學

《工程師的數學》提供了現代工程學位所需的核心數學主題的全面探討。這本書從數學推理的基本概念開始，隨著內容的推進逐漸增加複雜性。書中的方法是通過參與來建立理解，文本中包含大量練習和啟發性的例子，旨在促進對所討論主題的實際理解。

特點：
- 充滿例子、練習和應用
- 適合工程師，也適合其他定量科學的學生
- 以引人入勝且易於理解的風格撰寫，同時保持絕對的嚴謹性。

Francesc Pozo Montero received his degree in Mathematics from the University of Barcelona in 2000 and completed his PhD in Applied Mathematics at the Universitat Politècnica de Catalunya (UPC) in 2005. Since 2000, he has been a member of the Department of Mathematics at UPC, where he currently holds the position of Full Professor. He also serves as the coordinator of the Control, Data, and Artificial Intelligence research group and is recognized as a Senior Member of IEEE.

Francesc Pozo Montero's research interests include condition monitoring, control systems, data-driven modeling, system identification, and structural health monitoring, with a particular emphasis on applications related to wind turbines.

He is an Editorial Board Member for several prestigious international journals, including Structural Control and Health Monitoring (Wiley), International Journal of Distributed Sensor Networks (Wiley), Mathematical Problems in Engineering (Wiley), Mathematics (MDPI), Sensors (MDPI), Algorithms (MDPI), Journal of Vibration and Control (Sage), Frontiers in Built Environment (Frontiers), Frontiers in Energy Research (Frontiers), and Energies (MDPI).

Francesc Pozo Montero has made substantial contributions to his field, authoring over 70 high-impact journal articles, participating in 23 competitive R&D&I projects, and writing 34 book chapters and 12 books. He has successfully supervised six PhD candidates, filed one invention patent, and established a collaboration contract with an industry partner. His work has also been presented in more than 130 conference papers.

Núria Parés Mariné holds a degree in Mathematics (1999) and a PhD in Applied Mathematics (2005) from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain. As a Full Professor at UPC, she focuses on developing and advancing numerical methods applied to engineering. Over the years, her research has concentrated on three primary areas: result certification, model reduction techniques, and machine learning. Through her innovative approach, she has successfully collaborated with internationally renowned researchers, contributing significantly to the academic and scientific community.

Núria Parés Mariné has made substantial contributions to her field, authoring over 25 high-impact journal articles and participating in 19 competitive R&D&I projects. Her prolific output also includes writing three book chapters and ten books. She has guided and supervised three PhD candidates to successful completion, showcasing her dedication to mentoring the next generation of researchers. In addition, she has been involved in technology transfer, establishing a collaboration contract with an industry partner and bridging the gap between academia and real-world applications.

Her work has been widely recognized and presented in more than 65 conference papers, illustrating her commitment to disseminating knowledge and sharing advancements with the broader scientific community. Prof. Parés continues to be a leading figure in her research areas, driving innovation and excellence in applied mathematics. Her ongoing efforts in integrating machine learning with traditional numerical methods are paving the way for new, groundbreaking approaches in engineering and related disciplines.

Yolanda Vidal Seguí holds a degree in Mathematics (1999) and a PhD in Applied Mathematics (2005) from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain. She is an Associate Professor at UPC, an IEEE Senior Member, and the coordinator of the Wind Turbine Condition Monitoring (WinTurCoM) research group. Her multidisciplinary expertise spans condition monitoring, structural health monitoring, fault diagnosis and prognosis, predictive maintenance, machine learning, deep learning, artificial intelligence, and mathematical modeling, with a primary focus on wind turbine applications.

Dr. Vidal serves on the Editorial Board of several high-impact international journals, including Engineering Applications of AI (Elsevier), Wind Energy (Wiley), Wind Energy Science (Copernicus), Energy Exploration & Exploitation (SAGE), Journal of Vibration and Control (SAGE), IET Renewable Power Generation (IET), Mathematics (MDPI), Sensors (MDPI), Energies (MDPI), Frontiers in Built Environment (Frontiers), and Frontiers in Energy Research (Frontiers).

Her academic contributions include over 70 high-impact journal articles, participation in 23 competitive R+D+I projects, 19 book chapters, and 10 books. Dr. Vidal has supervised seven PhD theses, with four currently in progress, highlighting her commitment to mentoring the next generation of researchers. Additionally, she holds an invention patent, has secured a collaboration contract with an industry partner, and has presented over 120 conference papers, cementing her role as a prominent figure in her field. Dr. Vidal's work bridges theoretical advancements and practical applications, driving innovation in renewable energy and structural health monitoring.

Francesc Pozo Montero 於2000年在巴塞隆納大學獲得數學學位，並於2005年在加泰羅尼亞理工大學 (UPC) 完成應用數學博士學位。自2000年以來，他一直是UPC數學系的成員，目前擔任正教授。他還擔任控制、數據和人工智慧研究小組的協調員，並被認可為IEEE的資深會員。

Francesc Pozo Montero的研究興趣包括狀態監測、控制系統、數據驅動建模、系統識別和結構健康監測，特別強調與風力發電機相關的應用。

他是幾本國際知名期刊的編輯委員會成員，包括Structural Control and Health Monitoring (Wiley)、International Journal of Distributed Sensor Networks (Wiley)、Mathematical Problems in Engineering (Wiley)、Mathematics (MDPI)、Sensors (MDPI)、Algorithms (MDPI)、Journal of Vibration and Control (Sage)、Frontiers in Built Environment (Frontiers)、Frontiers in Energy Research (Frontiers) 和 Energies (MDPI)。

Francesc Pozo Montero在其領域做出了重大貢獻，發表了超過70篇高影響力的期刊文章，參與了23個競爭性研發與創新項目，並撰寫了34章書籍和12本書籍。他成功指導了六名博士候選人，申請了一項發明專利，並與一個行業夥伴建立了合作合同。他的工作還在超過130篇會議論文中發表。

Núria Parés Mariné 擁有數學學位（1999年）和應用數學博士學位（2005年），均來自加泰羅尼亞理工大學 (UPC)，西班牙巴塞隆納。作為UPC的正教授，她專注於開發和推進應用於工程的數值方法。多年來，她的研究集中在三個主要領域：結果認證、模型簡化技術和機器學習。通過她的創新方法，她成功與國際知名研究人員合作，對學術和科學界做出了重要貢獻。

Núria Parés Mariné在其領域做出了重大貢獻，發表了超過25篇高影響力的期刊文章，參與了19個競爭性研發與創新項目。她的豐碩成果還包括撰寫三章書籍和十本書籍。她指導和監督了三名博士候選人成功完成學位，展現了她對培養下一代研究人員的奉獻。此外，她還參與了技術轉移，與行業夥伴建立了合作合同，架起了學術界與實際應用之間的橋樑。

她的工作得到了廣泛認可，並在超過65篇會議論文中發表，顯示了她對知識傳播和與更廣泛的科學社群分享進展的承諾。Parés教授繼續在她的研究領域中扮演領導角色，推動應用數學的創新和卓越。她在將機器學習與傳統數值方法整合方面的持續努力，為工程及相關學科開創了新的突破性方法。

Yolanda Vidal Seguí 擁有數學學位（1999年）和應用數學博士學位（2005年），均來自加泰羅尼亞理工大學 (UPC)，西班牙巴塞隆納。她是UPC的副教授，IEEE資深會員，並擔任風力發電機狀態監測 (WinTurCoM) 研究小組的協調員。她的多學科專業知識涵蓋狀態監測、結構健康監測、故障診斷與預測、預測性維護、機器學習、深度學習、人工智慧和數學建模，主要專注於風力發電機的應用。

Vidal博士擔任幾本高影響力國際期刊的編輯委員會成員，包括Engineering Applications of AI (Elsevier)、Wind Energy (Wiley)、Wind Energy Science (Copernicus)、Energy Exploration & Exploitation (SAGE)、Journal of Vibration and Control (SAGE)、IET Renewable Power Generation (IET)、Mathematics (MDPI)、Sensors (MDPI)、Energies (MDPI)、Frontiers in Built Environment (Frontiers) 和 Frontiers in Energy Research (Frontiers)。

她的學術貢獻包括超過70篇高影響力的期刊文章，參與23個競爭性研發與創新項目，19章書籍和10本書籍。Vidal博士已指導七篇博士論文，其中四篇目前正在進行中，突顯了她對培養下一代研究人員的承諾。此外，她擁有一項發明專利，已與行業夥伴簽訂合作合同，並發表了超過120篇會議論文，鞏固了她在該領域的突出地位。Vidal博士的工作架起了理論進展與實際應用之間的橋樑，推動了可再生能源和結構健康監測的創新。