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Learn how to fit clothes and alter sewing patterns. Sew clothes you love that fit.
Aaron Samuels, raised in Providence, Rhode Island by a Jewish mother and a Black father, is a Cave Canem Fellow and a nationally acclaimed performer. In this ground-breaking collection of poems, Samuels examines the beauty and contradictions of his own mixed identity with gut-wrenching narratives, humor, and passionate verve.
Includes text from the previously published title, Fit for real people.
The Complete Photo Guide to Perfect Fitting is the ultimate reference for fitting test garments and transferring accurate adjustments to patterns. No matter what size or shape you are, wearing garments that fit perfectly makes you look and feel better. Rather than making commonly accepted changes to a commercial pattern, the method presented in this guide focuses on the way a test garment fits the body. The fabric is manipulated to improve the fit, and then those specific changes are made to the pattern. The result: patterns that fit perfectly! With The Complete Photo Guide to Perfect Fitting, you'll learn: The importance of a fitting axis and how to use it during a fitting How to recognize fitting issues, such as drag lines and folds How to manipulate fabric to solve common and unusual fitting problems How to transfer the fitting changes to your pattern easily Basic pattern-making skills to ensure accurate alterations See the fitting process from start to finish on basic garments, fitted on real people. Then follow fitting solutions on different body types. Hundreds of large color photos illustrate the techniques and concepts in simple step-by-step instructions. With these lessons, you will get the perfect fit for any body.
With the development of new fitting methods, their increased use in applications, and improved computer languages, the fitting of statistical distributions to data has come a long way since the introduction of the generalized lambda distribution (GLD) in 1969. Handbook of Fitting Statistical Distributions with R presents the latest and best methods
Nancy Zieman's pattern fitting approach is easy - no cutting, slashing, tucking or pinching—just logical and easy pivot-and-slide techniques, providing a painless method to follow that results in a garment that is comfortable and attractive. Once you learn Nancy's techniques for fitting, you will find it easy to make every garment you sew fit your size and shape. Multiple fitting charts are included in the book, as well as an index for locating technical information at a glance.
Since the first edition of this book, the literature on fitted mesh methods for singularly perturbed problems has expanded significantly. Over the intervening years, fitted meshes have been shown to be effective for an extensive set of singularly perturbed partial differential equations. In the revised version of this book, the reader will find an introduction to the basic theory associated with fitted numerical methods for singularly perturbed differential equations. Fitted mesh methods focus on the appropriate distribution of the mesh points for singularly perturbed problems. The global errors in the numerical approximations are measured in the pointwise maximum norm. The fitted mesh algorithm is particularly simple to implement in practice, but the theory of why these numerical methods work is far from simple. This book can be used as an introductory text to the theory underpinning fitted mesh methods.
This book is an introductory text that charts the recent developments in the area of Whitney-type extension problems and the mathematical aspects of interpolation of data. It provides a detailed tour of a new and active area of mathematical research. In each section, the authors focus on a different key insight in the theory. The book motivates the more technical aspects of the theory through a set of illustrative examples. The results include the solution of Whitney's problem, an efficient algorithm for a finite version, and analogues for Hölder and Sobolev spaces in place of Cm. The target audience consists of graduate students and junior faculty in mathematics and computer science who are familiar with point set topology, as well as measure and integration theory. The book is based on lectures presented at the CBMS regional workshop held at the University of Texas at Austin in the summer of 2019.
This pattern book features step-by-step instructions on fitting and sewing pants for women of all body types using the twin techniques of tissue fitting and fabric fitting. Important sewing choices are highlighted, including choosing fabrics, selecting appropriate alteration tools, and finding styles that are most flattering. The fit-as-you-sew process of making pants is illustrated with progressive photographs and step-by-step illustrations. A variety of styles are covered, including nonroll, expandable, and contour waistbands; side seam and patched pockets; and easy hems and cuffs. This updated second edition features refinements to the fitting and sewing information and has added instructions on the fitting and sewing of jeans and no-side-seam pants.
Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from continue to create problems. . Focusing on techniques used successfully across many fields, Fitting Statistical Distributions presents all of the relevant results related to the Generalized Lambda Distribution, the Generalized Bootstrap, and Monte Carlo simulation. It provides the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist.