Numerical Methods Using Java: For Data Science, Analysis, and Engineering
暫譯: 使用 Java 的數值方法:數據科學、分析與工程應用

Haksun Li PhD

  • 出版商: Apress
  • 出版日期: 2022-01-06
  • 售價: $2,300
  • 貴賓價: 9.5$2,185
  • 語言: 英文
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484267966
  • ISBN-13: 9781484267967
  • 相關分類: Java 程式語言Data Science
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You’ll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes.

Numerical Methods Using Java covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. 

What You Will Learn

 

  • Program in Java using a high-performance numerical library

  • Learn the mathematics for a wide range of numerical computing algorithms

  • Convert ideas and equations into code

  • Put together algorithms and classes to build your own engineering solution

  • Build solvers for industrial optimization problems

  • Do data analysis using basic and advanced statistics

Who This Book Is For 

Programmers, data scientists, and analysts with prior experience with programming in any language, especially Java. 

商品描述(中文翻譯)

實作數值演算法於 Java,使用 NM Dev,一個面向物件且高效能的數學程式庫。您將看到它如何幫助您輕鬆地為複雜的工程問題創建解決方案,透過快速組合類別來達成。

《使用 Java 的數值方法》涵蓋了廣泛的主題,包括線性代數、根尋找、曲線擬合、微分與積分、解微分方程、隨機數與模擬、一整套無約束與有約束的優化演算法、統計、回歸與時間序列分析等章節。演算法背後的數學概念清晰地解釋,並提供大量的程式碼範例和插圖,幫助即使是初學者也能輕鬆入門。

您將學到的內容:

- 使用高效能的數值程式庫在 Java 中編程
- 學習廣泛的數值計算演算法所需的數學知識
- 將想法和方程式轉換為程式碼
- 組合演算法和類別以構建自己的工程解決方案
- 為工業優化問題構建求解器
- 使用基本和進階統計進行數據分析

本書適合對象:

有任何語言編程經驗的程式設計師、數據科學家和分析師,特別是 Java。

作者簡介

Haksun Li, PhD, is founder of NM Group, a scientific and mathematical research company. He has the vision of "Making the World Better Using Mathematics". Under his leadership, the firm serves worldwide brokerage houses and funds, multinational corporations and very high net worth individuals. Haksun is an expert in options trading, asset allocation, portfolio optimization and fixed-income product pricing. He has coded up a variety of numerical software, including SuanShu (a library of numerical methods), NM Dev (a library of numerical methods), AlgoQuant (a library for financial analytics), NMRMS (a portfolio management system for equities), and supercurve (a fixed-income options pricing system). Prior to this, Haksun was a quantitative trader/quantitative analyst with multiple investment banks. He has worked in New York, London, Tokyo, and Singapore.
Additionally, Haksun is the vice dean of the Big Data Finance and Investment Institute of Fudan University, China. He was an adjunct professor with multiple universities. He has taught at the National University of Singapore (mathematics), Nanyang Technological University (business school), Fudan University (economics), as well as Hong Kong University of Science and Technology (mathematics). Dr. Haksun Li has a B.S. and M.S. in pure and financial mathematics from the University of Chicago, and an M.S. and a PhD in computer science and engineering from the University of Michigan, Ann Arbor.

作者簡介(中文翻譯)

李學勳博士是NM Group的創辦人,這是一家專注於科學和數學研究的公司。他的願景是「利用數學讓世界變得更好」。在他的領導下,該公司為全球的經紀公司和基金、跨國企業以及高淨值個人提供服務。李博士是期權交易、資產配置、投資組合優化和固定收益產品定價的專家。他編寫了多種數值軟體,包括SuanShu(數值方法庫)、NM Dev(數值方法庫)、AlgoQuant(金融分析庫)、NMRMS(股票投資組合管理系統)和supercurve(固定收益期權定價系統)。在此之前,李博士曾在多家投資銀行擔任量化交易員/量化分析師。他曾在紐約、倫敦、東京和新加坡工作。

此外,李博士是中國復旦大學大數據金融與投資研究院的副院長。他曾在多所大學擔任兼任教授,教授過新加坡國立大學(數學)、南洋理工大學(商學院)、復旦大學(經濟學)以及香港科技大學(數學)。李學勳博士擁有芝加哥大學的純數學和金融數學學士及碩士學位,以及密西根大學安娜堡分校的計算機科學與工程碩士和博士學位。