Download or read book Practical Handbook of Curve Fitting written by Sandra Arlinghaus and published by CRC Press. This book was released on 2023-06-14 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Handbook of Curve Fitting is a reference work assembled by Arlinghaus and a set of editors with well over a century of combined experience in various disciplines and activities related to curve fitting. The book demonstrates how to analyze World data bases and graph and map the results. Default settings in software packages can produce attractive graphs of data imported into the software. Often, however, the default graph has no equation associated with it and cannot therefore be used as a tool for further analysis or projection of the data. The same software can often be used to generate curves from equations. The reader is shown directly, and in a series of steps, how to fit curves to data using Lotus 1-2-3. There are traditional unbounded curve fitting techniques-lines of least squares, exponentials, logistic curves, and Gompertz curves. There is the bounded curve fitting technique of cubic spline interpolation. Beyond these, there is a detailed application of Feigenbaum's graphical analysis from chaos theory, and there is a hint as to how fractal geometry might come into play. Curve fitting algorithms take on new life when they are actually used on real-world data. They are used in numerous worked examples drawn from electronic data bases of public domain information from the Stars data base of The World Bank and from the WRD data base of the World Resources Institute. The applications are current and reflect a state-of-the-art interest in the human dimensions of global change.
Download or read book Practical Curve Fitting and Data Analysis written by Joseph H. Noggle and published by Prentice Hall. This book was released on 1993 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide focuses on how to make graphs and abstract physical information from data using a personal computer. This tutorial program/book package covers the elements of curve fitting and statistical treatment of data and numerical analysis. Taking a step-by-step approach, the book, the program, and the accompanying data files are designed to demonstrate common errors and pitfalls. It contains examples from analytical chemistry, chemical engineering and biochemistry. For those engineers and/or scientists who want to easily make graphs and plot physical information from data with a microcomputer.
Download or read book Fitting Models to Biological Data Using Linear and Nonlinear Regression written by Harvey Motulsky and published by Oxford University Press. This book was released on 2004-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Download or read book Matrix Numerical and Optimization Methods in Science and Engineering written by Kevin W. Cassel and published by Cambridge University Press. This book was released on 2021-03-04 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.
Download or read book From Curve Fitting to Machine Learning written by Achim Zielesny and published by Springer. This book was released on 2018-04-22 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many books, the code to reproduce the results.All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).
Download or read book Curve and Surface Fitting with Splines written by Paul Dierckx and published by Oxford University Press. This book was released on 1995 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Numerical Methods of Curve Fitting written by P. G. Guest and published by Cambridge University Press. This book was released on 2012-12-13 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 1961 book provides information on the methods of treating series of observations; the field covered embraces portions of both statistics and numerical analysis.
Download or read book From Curve Fitting to Machine Learning written by Achim Zielesny and published by Springer. This book was released on 2016-04-13 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many books, the code to reproduce the results.All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).
Download or read book A Method of Smooth Curve Fitting written by Hiroshi Akima and published by . This book was released on 1969 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Brief Course in Analytic Geometry and the Elements of Curve fitting written by Walter Burton Ford and published by . This book was released on 1924 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Least square Distance Curve fitting Technique written by John Q. Howell and published by . This book was released on 1971 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Genetic Algorithm Applied to Least Squares Curve Fitting written by Charles L. Karr and published by . This book was released on 1991 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Curve Fitting and Uncertainty Analysis of Charpy Impact Data written by Friedemann Stallmann and published by . This book was released on 1982 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Review of the Curve fitting Method of Least Squares as Applied to Petroleum Engineering written by R. E. Cerullo and published by . This book was released on 1970 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Curve Fitting written by Voris V. Latshaw and published by . This book was released on 1928 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Curve Fitting written by D. James Benton and published by . This book was released on 2017-01-08 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a how-to guide on the approximation of data. There are many books and articles on curve-fitting. This is intended as a supplement to, not a replacement for, such texts. Most references are either esoteric or simplistic. I hope to strike a balance between these two extremes and trust you will find this helpful. Many examples are included and all of the source code is available on-line.
Download or read book Ahead of the Curve written by Jenny Rushmore and published by Hardie Grant Publishing. This book was released on 2021-10-14 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ahead of the Curve is the first sewing book to empower curvy and plus size women to feel body confident by sewing a wardrobe that fits. Don’t change your body to fit your clothes – change your clothes to fit your body! Ahead of the Curve includes 5 basic garment patterns (UK sizes 16–36/US size 12–32/EUR sizes 44–64), which includes a pair of trousers, a t-shirt, a sleeveless top and two dress designs. Jenny takes you through a series of “Fit Clinics” – tutorials and case studies demystifying the fitting process – showing you how to adjust these patterns to master the perfect fit for your body shape. Once you have got to grips with this, you can go on to customize your closet and create an unlimited array of fantastic clothes that celebrate your body. If you’re curvy or plus size, trying to find clothes that fit and reflect your personal style can be incredibly difficult and frustrating. Plus size women feel constantly excluded and like they can’t express their personality through clothes. This book finally changes that.
