Description: Title: Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering Author: Li Phd, Haksun Publisher: Apress Binding: Paperback Pages: 899 Dimensions: 10.00h x 7.00w x 1.82d Product Weight: 3.46 lbs. Language: English ISBN: 9781484288252 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 LearnProgram in Kotlin using a high-performance numerical libraryLearn the mathematics necessary for a wide range of numerical computing algorithmsConvert ideas and equations into codePut together algorithms and classes to build your own engineering solutionsBuild solvers for industrial optimization problemsPerform data analysis using basic and advanced statisticsWho This Book Is ForProgrammers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java. Ships Fast From The USA! Authorized Dealer
Price: 64.99 USD
Location: Tennessee
End Time: 2024-11-01T17:43:37.000Z
Shipping Cost: 9.95 USD
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Book Title: Apress
Number of Pages: Xxii, 899 Pages
Publication Name: Numerical Methods Using Kotlin : for Data Science, Analysis, and Engineering
Language: English
Publisher: Apress L. P.
Subject: Programming Languages / General, Intelligence (Ai) & Semantics, General, Databases / General
Publication Year: 2023
Type: Textbook
Item Weight: 60.8 Oz
Item Length: 10 in
Subject Area: Mathematics, Computers
Author: Haksun Li
Item Width: 7 in
Format: Trade Paperback