Numerical methods using Kotlin : for data science, analysis, and engineering /
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, re...
Call Number: | Libro Electrónico |
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Main Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
New York, NY :
Apress,
[2023]
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Subjects: | |
Online Access: | Texto completo (Requiere registro previo con correo institucional) |