Titlebook: OCaml Scientific Computing; Functional Programmi Liang Wang,Jianxin Zhao,Richard Mortier Textbook 2022 The Editor(s) (if applicable) and Th

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g pool of investors, financial advisors, companies, and academics seeking information on sustainable investing and ESG reporting, this edited book covers the latest trends, tools, and thinking. It showcases the978-3-030-55615-0978-3-030-55613-6

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Numerical Algorithmscal calculation functions. In this chapter, we introduce implementing two key mathematical techniques when working with functions: interpolation and integration. We present some key techniques, and show how they are implemented using OCaml, and specifically, how they are supported by mathematical fu

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Linear Algebra then focus on how to use OCaml to solve concrete problems and develop a thorough understanding of the key concepts in linear algebra. This chapter covers the classic topics in linear algebra, including Gaussian elimination, vector space, determinants, eigenvalues and eigenvectors. Before discussing

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Ordinary Differential Equations applications in fields including mechanics [1], astronomy [2], geometry [3], biology [4], engineering [5], economics [6], and many more. If the function and its derivatives in a differential equation concern only one variable,we call it an Ordinary . (ODE), and it can model a one-dimensional dynami

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