Numerical Methods with algorithms and programs

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Focusing on advanced numerical methods in science, this guide offers comprehensive coverage of practical techniques such as solving equations with various methods, systems of equations, polynomial interpolation, and regression analysis. It delves into numerical derivatives, integration methods, and differential equations, including Euler and Runge-Kutta methods. The book emphasizes the deduction of formulas to clarify concepts, aiming to equip students with a solid foundation and foster their interest in numerical methods.