Implement numerical algorithms in Java using the NM Dev library and APIs, an object-oriented, high-performance programming library for mathematics. You’ll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes. Numerical Methods Using Java includes chapters on data structures, linear algebra, and finding roots of equations (both single variable and in systems of equations). You’ll be able to add these features to your Java programs to effortlessly build exactly the functionality you need. Along the way you’ll cover curve fitting and interpolation, numerical differentiation and integration, and numerical solutions to partial differential equations. The next part of the book covers optimization: unconstrained, constrained, and heuristic. You’ll see how each of these work and how to apply them in your numerical Java applications. The algorithms are all fully explained before you dive into the code. What You Will Learn Code using a numerical Java-based libraryTake advantage of curve fitting and interpolationNumerically solve partial differential equations and equations that model physical systemsRun simulations and various optimizationsCarry out regression and time series analysis Who This Book Is For  Programmers, data scientists, and analysts with prior experience with programming in any language, especially Java. weiterlesen