華通書坊
詳細資訊
書名：Quantum Field Theory: Lectures of Sidney Coleman 作者：KAISER 出版社：World Scientific 出版日期：2019/01/31 ISBN：9789814635509
| 定價: | ||||
| 售價: | 1960元 | |||
| 庫存: | 庫存: 1 | |||
| LINE US! | 詢問這本書 團購優惠、書籍資訊 等 | |||
★LECTURES OF SIDNEY COLEMAN ON QUANTUM FIELD THEORY
定價:
1960
售價:
1960
現省:
0
| 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
書名：Quantum Field Theory: Lectures of Sidney Coleman 作者：KAISER 出版社：World Scientific 出版日期：2019/01/31 ISBN：9789814635509
為您推薦
其他會員也一起購買
Visual Differential Geometry and Forms: A Mathematical Drama in Five Acts ISBN13：9780691203706 出版社：Princeton Univ Pr 作者：Tristan Needham 裝訂：平裝 出版日：2021/06/22
其他會員也一起購買
書名：Advanced Concepts in Particle and Field Theory 作者：HUBSCH 出版社：CAMBRIDGE 出版日期：2015/08/31 ISBN：9781107097483
其他會員也一起購買
An Introduction to Quantum Field Theory ISBN13：9780367320560 出版社：CRC Pr I Llc 作者：Michael E. Peskin; Daniel V. Schroeder 裝訂／頁數：平裝／866頁 規格：23.4cm*15.6cm (高/寬) 出版日：2019/06/30
相關熱銷的書籍推薦給您
書名：Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles 2/E 作者：EISBERG 出版社：WILEY 出版日期：1985/02/14 ISBN：9780471873730
類似書籍推薦給您
類似書籍推薦給您
【簡介】 These lecture notes are thought for Master courses in Finance, Fintech and Quantitative Finance programmes. We fully subscribe to the philosophy that post-graduate students should be offered courses that are really at the cutting edge of the technologies and advances that are disrupting the financial industry and delve deep into topics such as A.I., machine learning, and their importance for Asset Management.In these notes, the illustration of the theory of Finance is paired with practical applications to real-life asset allocation problems. A hands-on approach is proposed to construct and manipulate databases to build portfolios, assess their performance and manage their risk. The course begins with a section on the fundamentals on individual choice to market valuation, covering the traditional Markowitz mean-variance approach, market-based asset pricing and Arbitrage-based pricing theory.Empirical modelling in finance is then introduced by illustrating its working and its historical evolution. The translation of financial theory into action on data is driven by building predictive models for asset prices and returns. Basic models are explored, and programming emerges as an essential prerequisite for data manipulation. Readers can acquaint themselves with the statistical software R and exhibit the application of theoretical concepts to financial data, illustrated by sample programs, exercises, and corresponding solutions.
