Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering
English | 2023 | ISBN: 1484288254 | 1481 Pages | PDF True | 43 MB
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.
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