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Numerical Methods of Curve Fitting

portions of both statistics and numerical analysis. Originally intended as an introduction to the topic aimed at students and graduates in physics;

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Introduction To Computational Mathematics

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of modern numerical;

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Numerical Methods for Engineers and Scientists Using MATLAB (R)

to perform symbolic, graphical, and numerical tasks. The text covers a variety of methods from curve fitting to solving ordinary and partial;

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Introduction to Computational Mathematics

numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and;

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Numerical Methods

of algebraic and transcendental equations, finite differences and interpolation, curve fitting, correlation and regression, numerical differentiation;

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Numerical Methods for Engineers and Scientists Using MATLAB (R)

, followed by curve fitting and interpolation of data. The book also provides detailed coverage of numerical differentiation and integration, as well;

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Numerical Analysis for Scientists and Engineers: Theory and C Programs

fitting and function approximation, differentiation and integration (including Monte Carlo method) are given. Many numerical methods to solve;

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Using R for Numerical Analysis in Science and Engineering

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers;

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Circular and Linear Regression

, Circular and Linear Regression: Fitting Circles and Lines by Least Squares explains how to use modern algorithms to fit geometric contours (circles;

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Circular and Linear Regression

-1990s, Circular and Linear Regression: Fitting Circles and Lines by Least Squares explains how to use modern algorithms to fit geometric;

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Numerical Methods Using Java

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You'll see;

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Numerical Methods Using Java

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.Yoüll see;

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Data Analysis and Signal Processing in Chromatography

This book gives an overview of the numerical data analysis and signal treatment techniques that are used in chromatography and related;

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Computer Software Applications In Chemistry

full range of the computer applications in these fields, including numerical, nonnumerical, and graphics applications. New material includes;

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Numerical And Analytical Methods With Matlab For Electrical

Combining academic and practical approaches to this important topic, Numerical and Analytical Methods with MATLAB (R) for Electrical;

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Practical Handbook of Curve Fitting

Practical Handbook of Curve Fitting is a reference work assembled by Arlinghaus and a set of editors with well over a century of combined;

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Practical Handbook of Curve Fitting

Practical Handbook of Curve Fitting is a reference work assembled by Arlinghaus and a set of editors with well over a century of combined;

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Matlab Numerical Methods With Chemical Engineering Applicati

: MATLAB basics Matrices MATLAB scripting language: M-file Image and image analysis Curve-fitting Numerical integration Solving differential;

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Curve-Fitting

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Introduction to Numerical and Analytical Methods With MATLAB for Engineers and Scientists

Introduction to Numerical and Analytical Methods with MATLAB (R) for Engineers and Scientists provides the basic concepts of programming;

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Spline Functions

, computer-aided geometric design, curve and surface design and fitting, image processing, numerical solution of differential equations, and;

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Applied Numerical Methods Using MATLAB

fitting, nonlinear equations, numerical differentiation/integration, ordinary differential equations, and optimization. Numerous methods such as;

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Numerical Methods in Engineering with Python

This book is an introduction to numerical methods for students in engineering. It covers solution of equations, interpolation and data;

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Mathematical Methods for Physics and Engineering

for comparing means and variances, applications of the chi-squared distribution, and maximum likelihood and least-squares fitting. In other;

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A Shock-Fitting Primer

to implement, shock-fitting techniques provide the most accurate results. A Shock-Fitting Primer presents the proper numerical treatment;

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Mathematical Methods

, Curve fitting matrices, Eigen values and Eigen vectors, Quadratic forms, Fourier series, Partial differential equations and Z-transforms. Each;

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Innovative Methods for Performance Enhancement of Pulse Oximeters

fitting. Thus the accuracy of the present day pulse oximeters is affected by sensor and patient dependent parameters. The book presents basics;

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