Fundamental Numerical Methods and Data Analysis 1st Edition by George W Collins ISBN

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Author: George W Collins

The primary focus of the book is to introduce the fundamentals of numerical methods, which are essential for solving mathematical problems that arise in real-world scenarios, particularly in fields such as engineering, physics, economics, and computer science. Numerical methods are crucial because many problems cannot be solved analytically and instead require computational techniques for approximate solutions.

The data analysis portion of the book emphasizes statistical and computational techniques used to analyze and interpret large datasets. This is increasingly important in the era of “big data,” where data-driven decision-making is central to a variety of industries.

Fundamental Numerical Methods & Data Analysis 1st Table of contents:

Chapter 1: Introduction and Fundamental Concepts
Chapter 2: The Numerical Methods for Linear Equations and Matrices
Chapter 3: Polynomial Approximation, Interpolation, and Orthogonal Polynomials
Chapter 4: Numerical Evaluation of Derivatives and Integrals
Chapter 5: Numerical Solution of Differential and Integral Equations
Chapter 6: Least Squares, Fourier Analysis, and Related Approximation Norms
Chapter 7: Probability Theory and Statistics
Chapter 8: Sampling Distributions of Moments, Statistical Tests, and 

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