Titlebook: Numerical Methods Using Java; For Data Science, An Haksun Li, PhD Book 2022 Haksun Li, PhD 2022 Java.programming.numerical.computational.al

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Linear Algebra,ormance and accuracy. Therefore, the implementations of linear algebra algorithms, such as matrix decompositions, are critical to the accuracy and performance of many numerical algorithms or numerical computing in general.

Compass

Numerical Differentiation and Integration,his concept is taken to the limit when we make the interval length go infinitesimally small. On a computer, however, we cannot make the length be arbitrarily small. We are satisfied with a good enough approximation or small enough intervals, which is the reason we use numerical differentiation and integration.

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ABOUT

Haksun Li, PhDThe first contemporary book on numerical methods using Java.A practical book with applications and examples found in data science, analysis, and engineering.Download source code from https://github.co

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https://doi.org/10.1007/978-1-4842-6797-4Java; programming; numerical; computational; algorithms; data; engineering; data science; software; source; co

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Introduction to Numerical Methods in Java,othing more than a hobby. I was coding trading strategy in Java but could not find a good Java math library to use (namely, one that was professionally maintained, was well-documented with examples, was solidly object-oriented, had an open data structure, and was extensive). A large part of the stra

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Linear Algebra,l algorithms, however complicated they are, involve some linear algebra computation. For example, a nonlinear problem is often difficult (or impossible) to solve directly. A popular technique is to approximate the nonlinear problem by multiple smaller linear (sub)problems (as in calculus). A linear

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Finding Roots of Equations,a result, you can get no solution, one solution, or multiple solutions. NM Dev provides a few methods to find roots. They are the Jenkins-Traub algorithm, bisection method, Brent’s method, Newton-Raphson method, and Halley’s method. With the exception of polynomials, we have the Jenkins-Traub algori