Numerical Methods Using Java - PhD Li Haksun

Numerical Methods Using Java (eBook)

For Data Science, Analysis, and Engineering

PhD Li Haksun (Autor)

eBook Download: PDF

2022 | 1st ed.
XIV, 1186 Seiten
Apress (Verlag)
978-1-4842-6797-4 (ISBN)

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.

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.

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 LearnProgram in Java using a high-performance numerical libraryLearn the mathematics for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionBuild solvers for industrial optimization problemsDo data analysis using basic and advanced statisticsWho This Book Is For Programmers, data scientists, and analysts with prior experience with programming in any language, especially Java.

Erscheint lt. Verlag	1.1.2022
Zusatzinfo	XIV, 1186 p. 342 illus.
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
Themenwelt	Informatik ► Programmiersprachen / -werkzeuge ► Java
Schlagworte	algorithms • Code • Computational • Data • Data Science • Engineering • Java • Numerical • programming • Software • source
ISBN-10	1-4842-6797-4 / 1484267974
ISBN-13	978-1-4842-6797-4 / 9781484267974

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