| 定價: | ||||
| 售價: | 407元 | |||
| 庫存: | 庫存: 1 | |||
| LINE US! | 詢問這本書 團購優惠、書籍資訊 等 | |||
Foundations of Nanomechanics from Solid-State Theory to Devices Applications 2003
定價:
1400
售價:
407
現省:
993
| 付款方式: | 超商取貨付款 |
|
|
| 信用卡 |
|
||
| 線上轉帳 |
|
||
| 物流方式: | 超商取貨 | ||
| 宅配 | |||
| 門市自取 |
詳細資訊
(特價399)Foundations of Nanomechanics from Solid-State Theory to Devices Applications 2003 (SV) 3-540-43361-8 A.N.CLELAND 9783540436614 書名：Foundations of Nanomechanics: From Solid-State Theory to Device Applications 作者：CLELAND 出版社：Springer 出版日期：2002/12/01 ISBN：9783540436614
為您推薦
其他會員也一起購買
【簡介】 Illustrating the concepts of modern physics and quantum mechanics needed for R&D into semiconductors, this textbook first provides the necessary background before going on to cover condensed matter and semiconductors, and how to develop them. Throughout, it emphasizes the development of ideas and concepts and how they are interrelated, deepening an understanding of the concepts by way of repetition. Written with clarity and style in mind, the text covers such new technology as junctions, luminescence, and 3D quantum dots, and each chapter ends with 20-30 exercises. 【目錄】
其他會員也一起購買
原文書資訊 書名:Incropera`s Principles of Heat and Mass Transfer 8/e GE 2017 <JW> 作者: INCROPERA ISBN: 9781119382911 出版社: John Wiley 出版年: 2017年 中文書資訊 書名: 熱傳遞 (Incropera & DeWitt & Bergman & Lavine:Incropera's Principles of Heat and Mass Transfer)精華版(Global Edition) Abridged Version 作者: Incropera & DeWitt & Bergman & Lavine/ 徐金城 ISBN: 9789863782605 出版社: 高立 出版年: 2021年
其他會員也一起購買
書名: CMOS RF MODELING CHARACTERIZATION AND APPLICATIONS 2002 (WS) 981-02-4905-5 作者: M.J.DEEN 版次: 1 出版日期: 2002年1月 ISBN: 9789810249052 出版社: World Scientific
其他會員也一起購買
書名: 書名: Microfluidics & Microfabrication 2010 <SV> 978-1-4419-1542-9 作者: Manijeh Razeghi 版次: 3 出版日期: 2009年1月 ISBN: 9780387921679 出版社: springer
其他會員也一起購買
【中文書】 書名：統計學(第四版) 作者：陳順宇 出版社：華泰 出版日期：2004/05/05 ISBN：9789574116645 內容簡介 本書讓初學統計的讀者能容易看懂，而且如有老師教導，更能事半功倍，希望它不但具有觀念的啟發冷 能深入淺出，尤其例題與習題要能本土化、實務化，讓學生熟習身邊的事務，避免過多的數學理論。 目錄 第一章 統計的認識 第二章 統計圖表 第三章 敘述統計量 第四章 機率概論 第五章 離散型隨機變數 第六章 常態分配 第七章 抽樣分配 第八章 假設之檢定與信賴區間 第九章 兩組樣本之檢定 第十章 比例問題的推論 第十一章 卡方檢定 第十二章 變異數分析 第十三章 簡單線性迴歸 第十四章 複相關與複回之歸分析 第十五章 時間數列 第十六章 無母數方法
其他會員也一起購買
【中文書】 書名：多變量分析(四版) 作者：陳順宇 出版社：華泰 出版日期：2005/06/29 ISBN：9789574127597 內容簡介 本書適合企管、工管、商學、教育、都計、交通、理工農社會各研究所一學期3學分的多變量分析課程，也可做為統計系或其他科系大學部學生教學、自修的參考。書內列舉許多範例，部份是國外名著例題，也有部份是本土化的實例，如能配合統計軟體，學習會更順暢。 此書特別推薦STATISTICA統計軟體，它對學習多變量分析有很多幫助，此軟體主要特點是短小精幹，當然有部份較複雜的分析仍要借重如SAS等大型軟體，每章都附有軟體操作程序及習題，使讀者能了解多變量分析的應用。 本版與前版的差別有： (1)增加課文內容說明、例題與習題，頁數約增加一百頁。 (2)軟體使用除了原有STATISTICA與SAS操作說明，再增加SPSS與AMOS。 (3)附錄增加習題奇數題解答。 (4)提供例題與習題的資料檔(STATISTICA、EXCEL、SPSS等)，可於網路上免費下載(webftp.cjcu.edu.tw/~sychen/)。 目錄 第1章 主成份分析 第2章 因素分析 第3章 典型相關 第4章 區別分析 第5章 多元尺度化 第6章 群集分析 第7章 多變量變異數分析 第8章 測量之信度與效度分析 第9章 線性結構關係模式 附錄A 個案研究 附錄B 統計查表 附錄C 英漢對照索引 附錄D 參考文獻 附錄E 習題解答
其他會員也一起購買
原文書資訊 書名:Digital Image Processing 4/E Global Edition 2018<Pearson>4/E 作者: Woods/Gonzalez ISBN: 9781292223049 出版社: Pearson 出版年: 2017年 中文書資訊 書名: 數位影像處理(Gonzalez & Woods：Digital Image Processing ) 作者: Gonzalez/ 繆紹綱 ISBN: 9789863782155 出版社: 高立 出版年: 2019年
其他會員也一起購買
(特價699)Semiconductors for Micro-& Nanotechnology an Introduction for Engineers 2002 (JW) 3-527-30257-3 J.G.KORVINK 9783527302574 【原文書】 書名：Semiconductors for Micro- and Nanotechnology: An Introduction for Engineers 作者：J.G.KORVINK 出版社：JOHN WILEY 出版日期：2002/07/19 ISBN：9783527302574
類似書籍推薦給您
【簡介】 Introduces concepts at the right level of detail, using straightforward language and minimum mathematics Examines the social and ethical impacts of AI, connecting techniques to real-world benefits and harms Explains state-of-the-art algorithms and examples underlying the theory, demonstrating how concepts are applied Provides two complementary software systems – AIPython and AILog - for experimentation and extension Pedagogical features include examples, end-of-chapter reviews, further reading lists, and exercises 【目錄】 Part I - Agents in the World Chapter 1 - Artificial Intelligence and Agents Chapter 2 - Agent Architectures and Hierarchical Control Part II - Reasoning and Planning with Certainty Chapter 3 - Searching for Solutions Chapter 4 - Reasoning with Constraints Chapter 5 - Propositions and Inference Chapter 6 - Deterministic Planning Part III - Learning and Reasoning with Uncertainty Chapter 7 - Supervised Machine Learning Chapter 8 - Neural Networks and Deep Learning Chapter 9 - Reasoning with Uncertainty Chapter 10 - Learning with Uncertainty Chapter 11 - Causality Part IV - Planning and Acting with Uncertainty Chapter 12 - Planning with Uncertainty Chapter 13 - Reinforcement Learning Chapter 14 - Multiagent Systems Part V - Representing Individuals and Relations Chapter 15 - Individuals and Relations Chapter 16 - Knowledge Graphs and Ontologies Chapter 17 - Relational Learning and Probabilistic Reasoning Part VI - The Big Picture Chapter 18 - The Social Impact of Artificial Intelligence Chapter 19 - Retrospect and Prospect Appendix A - Mathematical Preliminaries and Notation Appendix B - Mapping to Open-Source Packages
類似書籍推薦給您
類似書籍推薦給您
【簡介】 An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision. Up-to-date treatment integrates classic computer vision and deep learning Accessible approach emphasizes fundamentals and assumes little background knowledge Student-friendly presentation features extensive examples and images Proven in the classroom Instructor resources include slides, solutions, and source code 【目錄】
類似書籍推薦給您
華通書坊
