π Numerical Methods Using Kotlin [2023] Haksun Li, PhD
Π ΡΡΠΎΠΉ ΠΊΠ½ΠΈΠ³Π΅ Π²Ρ Π±ΡΠ΄Π΅ΡΠ΅ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²ΡΠ²Π°ΡΡ ΡΠΈΡΠ»Π΅Π½Π½ΡΠ΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΡ Π² Kotlin Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ NM Dev, ΠΎΠ±ΡΠ΅ΠΊΡΠ½ΠΎ-ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΈ Π²ΡΡΠΎΠΊΠΎΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΠΎΠΉ ΠΈ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠΉ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ. Π£Π·Π½Π°ΠΉΡΠ΅, ΠΊΠ°ΠΊ Kotlin ΠΈΠΌΠ΅Π΅Ρ ΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ² ΠΏΠ΅ΡΠ΅Π΄ Java Π² ΡΠ²ΠΎΠ΅ΠΉ ΡΠΊΠΎΡΠΎΡΡΠΈ, Π° Π² Π½Π΅ΠΊΠΎΡΠΎΡΡΡ ΡΠ»ΡΡΠ°ΡΡ ΠΈ Π² ΠΏΡΠΎΡΡΠΎΡΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ. Π ΡΡΠΎΠΉ ΠΊΠ½ΠΈΠ³Π΅ Π²Ρ ΡΠ²ΠΈΠ΄ΠΈΡΠ΅, ΠΊΠ°ΠΊ ΡΡΠΎ ΠΌΠΎΠΆΠ΅Ρ ΠΏΠΎΠΌΠΎΡΡ Π²Π°ΠΌ Π»Π΅Π³ΠΊΠΎ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π΄Π»Ρ Π²Π°ΡΠΈΡ ΡΠ»ΠΎΠΆΠ½ΡΡ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΡΡ Π·Π°Π΄Π°Ρ ΠΈ Π·Π°Π΄Π°Ρ, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΎΠΉ Π΄Π°Π½Π½ΡΡ .
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, youβll 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.