Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering - Tapa blanda

Li, PhD Haksun

 
9781484288252: Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering
Tapa blanda
ISBN 10: 1484288254 ISBN 13: 9781484288252
Editorial: Apress, 2023

Sinopsis

This in-depth guide 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.

In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you'll see how it can help you easily create solutions for your complex engineering and data science problems. 

After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. 

What You Will Learn
  • Program in Kotlin using a high-performance numerical library
  • Learn the mathematics necessary for a wide range of numerical computing algorithms
  • Convert ideas and equations into code
  • Put together algorithms and classes to build your own engineering solutions
  • Build solvers for industrial optimization problems
  • Perform data analysis using basic and advanced statistics
Who This Book Is For

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

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

This in-depth guide 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.

In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you’ll see how it can help you easily create solutions for your complex engineering and data science problems. 

After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. 

You will:
  • Program in Kotlin using a high-performance numerical library
  • Learn the mathematics necessary for a wide range of numerical computing algorithms
  • Convert ideas and equations into code
  • Put together algorithms and classes to build your own engineering solutions
  • Build solvers for industrial optimization problems
  • Perform data analysis using basic and advanced statistics

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1484288254
ISBN 13 
9781484288252
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
924
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781484288276: Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering

Edición Destacada

ISBN 10:  1484288270 ISBN 13:  9781484288276
Editorial: Apress, 2023
Tapa blanda