Curve And Surface Fitting With Matlab

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Curve and Surface Fitting With Matlab

J. Braselton
Curve and Surface Fitting With Matlab Book PDF

Author : J. Braselton
Publisher : CreateSpace
Page : 70 pages
File Size : 46,6 Mb
Release : 2014-09-11
Category : Mathematics
ISBN : 1502336073

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Curve and Surface Fitting With Matlab by J. Braselton Pdf

MATLAB Curve Fitting Toolbox provides graphical tools and command-line functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives. The most important topics in this book are: Interactive Curve and Surface Fitting Introducing the Curve Fitting Tool Fitting a Curve Fitting a Surface Model Types for Curves and Surfaces Interactive Fit Comparison Refining Your Fit Creating Multiple Fits Duplicating a Fit Deleting a Fit Displaying Multiple Fits Simultaneously Using the Statistics in the Table of Fits Generating MATLAB Code and Exporting Fits Interactive Code Generation and Programmatic Fitting Curve Fitting to Census Data Interactive Curve Fitting Workflow Loading Data and Creating Fits Determining the Best Fit Analyzing Your Best Fit in the Workspace Saving Your Work Surface Fitting to Franke Data Programmatic Curve and Surface Fitting Curve and Surface Fitting Objects and Methods Curve Fitting Objects Curve Fitting Methods Surface Fitting Objects and Methods

Curve and Surface Fitting with MATLAB

J. Braselton
Curve and Surface Fitting with MATLAB Book PDF

Author : J. Braselton
Publisher : Createspace Independent Publishing Platform
Page : 160 pages
File Size : 43,5 Mb
Release : 2016-06-22
Category : Electronic
ISBN : 1534835385

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Curve and Surface Fitting with MATLAB by J. Braselton Pdf

Curve Fitting Toolbox(tm) provides an app and functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing.After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.Curve Fitting Toolbox(tm) software allows you to work in two different environments:An interactive environment, with the Curve Fitting app and the Spline ToolA programmatic environment that allows you to write object-oriented MATLAB(r) code using curve and surface fitting methods

Curve and Surface Fitting Functions With Matlab

J. Braselton
Curve and Surface Fitting Functions With Matlab Book PDF

Author : J. Braselton
Publisher : CreateSpace
Page : 282 pages
File Size : 43,5 Mb
Release : 2014-09-10
Category : Mathematics
ISBN : 1502332701

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Curve and Surface Fitting Functions With Matlab by J. Braselton Pdf

Curve Fitting Toolbox provides graphical tools and command-line functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives. This book explains through examples all Curve Fitting Toolbox functions

Curve and Surface Fitting Functions with MATLAB

J. Braselton
Curve and Surface Fitting Functions with MATLAB Book PDF

Author : J. Braselton
Publisher : Createspace Independent Publishing Platform
Page : 266 pages
File Size : 47,5 Mb
Release : 2016-06-22
Category : Electronic
ISBN : 1534839453

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Curve and Surface Fitting Functions with MATLAB by J. Braselton Pdf

This book develops the syntax of functions of Curve Fitting Toolbox(tm). This package provides an app and functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing.After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.

Curve and Surface Fitting with Splines

Paul Dierckx
Curve and Surface Fitting with Splines Book PDF

Author : Paul Dierckx
Publisher : Oxford University Press
Page : 308 pages
File Size : 45,7 Mb
Release : 1995
Category : Computers
ISBN : 019853440X

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Curve and Surface Fitting with Splines by Paul Dierckx Pdf

The fitting of a curve or surface through a set of observational data is a very frequent problem in different disciplines (mathematics, engineering, medicine, ...) with many interesting applications. This book describes the algorithms and mathematical fundamentals of a widely used software package for data fitting with (tensor product) splines. As such it gives a survey of possibilities and benefits but also of the problems to cope with when approximating with this popular type of function. In particular it is demonstrated in detail how the properties of B-splines can be fully exploited for improving the computational efficiency and for incorporating different boundary or shape preserving constraints. Special attention is also paid to strategies for an automatic and adaptive knot selection with intent to obtain serious data reductions. The practical use of the smoothing software is illustrated with many examples, academic as well as taken from real life.

Curve and Surface Fitting

Peter Lancaster,Kȩstutis Šalkauskas
Curve and Surface Fitting Book PDF

Author : Peter Lancaster,Kȩstutis Šalkauskas
Publisher : Unknown
Page : 296 pages
File Size : 55,8 Mb
Release : 1986
Category : Curve fitting
ISBN : UCSD:31822032992059

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Curve and Surface Fitting by Peter Lancaster,Kȩstutis Šalkauskas Pdf

The purpose of this book is to reveal the foundations and major features of several basic methods for curve and surface fitting that are currently in use.

Econometrics With Matlab

A. Smith
Econometrics With Matlab Book PDF

Author : A. Smith
Publisher : Createspace Independent Publishing Platform
Page : 336 pages
File Size : 45,6 Mb
Release : 2017-11-08
Category : Electronic
ISBN : 1979559619

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Econometrics With Matlab by A. Smith Pdf

Curve Fitting Toolbox provides an app and functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives. The most important content is the following: - Curve Fitting app for curve and surface fitting - Linear and nonlinear regression with custom equations - Library of regression models with optimized starting points and solver parameters - Interpolation methods, including B-splines, thin plate splines, and tensor-productsplines - Smoothing techniques, including smoothing splines, localized regression, Savitzky-Golay filters, and moving averages - Preprocessing routines, including outlier removal and sectioning, scaling, andweighting data - Post-processing routines, including interpolation, extrapolation, confidence intervals, integrals and derivatives

Modeling of Curves and Surfaces with MATLAB®

Vladimir Rovenski
Modeling of Curves and Surfaces with MATLAB Book PDF

Author : Vladimir Rovenski
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 50,7 Mb
Release : 2010-07-03
Category : Mathematics
ISBN : 9780387712789

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Modeling of Curves and Surfaces with MATLAB® by Vladimir Rovenski Pdf

This text on geometry is devoted to various central geometrical topics including: graphs of functions, transformations, (non-)Euclidean geometries, curves and surfaces as well as their applications in a variety of disciplines. This book presents elementary methods for analytical modeling and demonstrates the potential for symbolic computational tools to support the development of analytical solutions. The author systematically examines several powerful tools of MATLAB® including 2D and 3D animation of geometric images with shadows and colors and transformations using matrices. With over 150 stimulating exercises and problems, this text integrates traditional differential and non-Euclidean geometries with more current computer systems in a practical and user-friendly format. This text is an excellent classroom resource or self-study reference for undergraduate students in a variety of disciplines.

Curve Fitting with MATLAB. Linear and Non Linear Regression. Interpolation

Braselton J.
Curve Fitting with MATLAB Linear and Non Linear Regression Interpolation Book PDF

Author : Braselton J.
Publisher : Createspace Independent Publishing Platform
Page : 200 pages
File Size : 53,8 Mb
Release : 2016-06-21
Category : Electronic
ISBN : 1534802703

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Curve Fitting with MATLAB. Linear and Non Linear Regression. Interpolation by Braselton J. Pdf

Curve Fitting Toolbox(tm) provides an app and functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing.

Fitting Curves and Sourfaces Using Matlab Functions

Perez C.
Fitting Curves and Sourfaces Using Matlab Functions Book PDF

Author : Perez C.
Publisher : Unknown
Page : 300 pages
File Size : 52,8 Mb
Release : 2017-08-17
Category : Electronic
ISBN : 1974616576

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Fitting Curves and Sourfaces Using Matlab Functions by Perez C. Pdf

Curve Fitting Toolbox software allows you to work in two different environments:* An interactive environment, with the Curve Fitting app and the Spline Tool* A programmatic environment that allows you to write object-oriented MATLAB code using curve and surface fitting methods and using curve fitting functions.MATLAB Curve Fitting Functions lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis and provide optimized solver parameters and starting conditions to improve the quality of your fits. The functions also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.

Fitting Curves and Sourfaces Using Matlab

Perez C.
Fitting Curves and Sourfaces Using Matlab Book PDF

Author : Perez C.
Publisher : Unknown
Page : 236 pages
File Size : 46,6 Mb
Release : 2017-08-17
Category : Electronic
ISBN : 197461607X

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Fitting Curves and Sourfaces Using Matlab by Perez C. Pdf

MATLAB Curve Fitting Toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing. After creating a fit, you can apply a variety of post-processing methods for plotting,interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.Curve Fitting Toolbox software allows you to work in two different environments:* An interactive environment, with the Curve Fitting app and the Spline Tool* A programmatic environment that allows you to write object-oriented MATLAB code using curve and surface fitting methodsThe more important features of this toolbox ar de next:* Curve Fitting app for curve and surface fitting* Linear and nonlinear regression with custom equations* Library of regression models with optimized starting points and solver parameters* Interpolation methods, including B-splines, thin plate splines, and tensor-productsplines* Smoothing techniques, including smoothing splines, localized regression, Savitzky-Golay filters, and moving averages* Preprocessing routines, including outlier removal and sectioning, scaling, and weighting data* Post-processing routines, including interpolation, extrapolation, confidence intervals, integrals and derivatives This book develops the following topics:* "Interpolation and Smoothing" * "Nonparametric Fitting" * "Interpolation Methods" * "Smoothing Splines" * "Lowess Smoothing" * "Filtering and Smoothing Data"* "Fit Postprocessing" * "Explore and Customize Plots" * "Remove Outliers" * "Select Validation Data" * "Evaluate a Curve Fit" * "Evaluate a Surface Fit"* "Compare Fits Programmatically" * "Evaluating Goodness of Fit"* "Residual Analysis" * "Confidence and Prediction Bounds"* "Differentiating and Integrating a Fit" * "Spline Fitting" * "Curve Fitting Toolbox Splines and MATLAB Splines" * "Cubic Spline Interpolation" * "Fitting Values at N-D Grid with Tensor-Product Splines" * "Postprocessing Splines"* "Types of Splines: ppform and B-form" * "B-Splines and Smoothing Splines"* "Multivariate and Rational Splines" * "Multivariate Tensor Product Splines"* "NURBS and Other Rational Splines" * "Least-Squares Approximation by Natural Cubic Splines" * "Solving A Nonlinear ODE" * "Construction of the Chebyshev Spline" * "Approximation by Tensor Product Splines"

Spline Fitting with MATLAB

J. Braselton
Spline Fitting with MATLAB Book PDF

Author : J. Braselton
Publisher : Createspace Independent Publishing Platform
Page : 114 pages
File Size : 47,8 Mb
Release : 2016-06-22
Category : Electronic
ISBN : 1534838848

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Spline Fitting with MATLAB by J. Braselton Pdf

You can work with splines in Curve Fitting Toolbox(tm) in several ways.Using the Curve Fitting app or the fit function you can:Fit cubic spline interpolants to curves or surfacesFit smoothing splines and shape-preserving cubic spline interpolants to curves (but not surfaces)Fit thin-plate splines to surfaces (but not curves)The toolbox also contains specific splines functions to allow greater control over what you can create. For example, you can use the csapi function for cubic spline interpolation. Why would you use csapi instead of the fit function 'cubicinterp' option? You might require greater flexibility to work with splines for the following reasons:You want to combine the results with other splines, You want vector-valued splines. You can use csapi with scalars, vectors, matrices, and ND-arrays. The fit function only allows scalar-valued splines.You want other types of splines such as ppform, B-form, tensor-product, rational, and stform thin-plate splines.You want to create splines without data.You want to specify breaks, optimize knot placement, and use specialized functions for spline manipulation such as differentiation and integration.If you require specialized spline functions, see the following sections for interactive and programmatic spline fitting.

Modeling of Curves and Surfaces with MATLAB®

Vladimir Rovenski
Modeling of Curves and Surfaces with MATLAB Book PDF

Author : Vladimir Rovenski
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 52,7 Mb
Release : 2010-06-10
Category : Mathematics
ISBN : 9780387712772

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Modeling of Curves and Surfaces with MATLAB® by Vladimir Rovenski Pdf

This text on geometry is devoted to various central geometrical topics including: graphs of functions, transformations, (non-)Euclidean geometries, curves and surfaces as well as their applications in a variety of disciplines. This book presents elementary methods for analytical modeling and demonstrates the potential for symbolic computational tools to support the development of analytical solutions. The author systematically examines several powerful tools of MATLAB® including 2D and 3D animation of geometric images with shadows and colors and transformations using matrices. With over 150 stimulating exercises and problems, this text integrates traditional differential and non-Euclidean geometries with more current computer systems in a practical and user-friendly format. This text is an excellent classroom resource or self-study reference for undergraduate students in a variety of disciplines.

Applied Optimization with MATLAB Programming

P. Venkataraman
Applied Optimization with MATLAB Programming Book PDF

Author : P. Venkataraman
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 42,7 Mb
Release : 2009-03-23
Category : Technology & Engineering
ISBN : 9780470084885

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Applied Optimization with MATLAB Programming by P. Venkataraman Pdf

Technology/Engineering/Mechanical Provides all the tools needed to begin solving optimization problems using MATLAB® The Second Edition of Applied Optimization with MATLAB® Programming enables readers to harness all the features of MATLAB® to solve optimization problems using a variety of linear and nonlinear design optimization techniques. By breaking down complex mathematical concepts into simple ideas and offering plenty of easy-to-follow examples, this text is an ideal introduction to the field. Examples come from all engineering disciplines as well as science, economics, operations research, and mathematics, helping readers understand how to apply optimization techniques to solve actual problems. This Second Edition has been thoroughly revised, incorporating current optimization techniques as well as the improved MATLAB® tools. Two important new features of the text are: Introduction to the scan and zoom method, providing a simple, effective technique that works for unconstrained, constrained, and global optimization problems New chapter, Hybrid Mathematics: An Application, using examples to illustrate how optimization can develop analytical or explicit solutions to differential systems and data-fitting problems Each chapter ends with a set of problems that give readers an opportunity to put their new skills into practice. Almost all of the numerical techniques covered in the text are supported by MATLAB® code, which readers can download on the text's companion Web site www.wiley.com/go/venkat2e and use to begin solving problems on their own. This text is recommended for upper-level undergraduate and graduate students in all areas of engineering as well as other disciplines that use optimization techniques to solve design problems.

Basics of MATLAB

Dr. Mukesh Tiwari, Dr. Jaikaran Singh
Basics of MATLAB Book PDF

Author : Dr. Mukesh Tiwari, Dr. Jaikaran Singh
Publisher : Nitya Publications
Page : 234 pages
File Size : 50,9 Mb
Release : 2020-01-01
Category : Computers
ISBN : 9789390699933

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Basics of MATLAB by Dr. Mukesh Tiwari, Dr. Jaikaran Singh Pdf

MATLAB stands for Matrix Laboratory. It is a term used in technical computing of high efficiency. Cleve Molar of MathWorks.Inc built this system in 1984. In 1984. It's in the C, C++, and Java. It permits matrix manipulation, function detection, algorithm implementation, and user interface design.