{"product_id":"numerical-methods-using-kotlin-for-data-science-analysis-and-engineering-paperback","title":"Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering - Paperback","description":"\u003cp\u003eby \u003cb\u003eHaksun Li Phd\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis 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.\u003cbr\u003eIn 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. \u003cbr\u003eAfter reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. \u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProgram in Kotlin using a high-performance numerical library\u003c\/li\u003e\n\u003cli\u003eLearn the mathematics necessary for a wide range of numerical computing algorithms\u003c\/li\u003e\n\u003cli\u003eConvert ideas and equations into code\u003c\/li\u003e\n\u003cli\u003ePut together algorithms and classes to build your own engineering solutions\u003c\/li\u003e\n\u003cli\u003eBuild solvers for industrial optimization problems\u003c\/li\u003e\n\u003cli\u003ePerform data analysis using basic and advanced statistics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThis 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.\u003cbr\u003eIn 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. \u003cbr\u003eAfter reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. \u003cbr\u003eYou will: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProgram in Kotlin using a high-performance numerical library\u003c\/li\u003e\n\u003cli\u003eLearn the mathematics necessary for a wide range of numerical computing algorithms\u003c\/li\u003e\n\u003cli\u003eConvert ideas and equations into code\u003c\/li\u003e\n\u003cli\u003ePut together algorithms and classes to build your own engineering solutions\u003c\/li\u003e\n\u003cli\u003eBuild solvers for industrial optimization problems\u003c\/li\u003e\n\u003cli\u003ePerform data analysis using basic and advanced statistics\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eHaksun Li, PhD\u003c\/b\u003e, 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.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 899\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.82 x 10 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 01, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42719390793791,"sku":"9781484288252","price":90.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/eaad5fad05a230bffac4390f217eabbb.webp?v=1765085457","url":"https:\/\/dhlswag.com\/products\/numerical-methods-using-kotlin-for-data-science-analysis-and-engineering-paperback","provider":"BBB","version":"1.0","type":"link"}