Learn IT - Books tags parametric

Higher Engineering Mathematics, Fifth Edition

Newnes, 2007

Includes: * 1,000 Worked Examples * 1,750 Further Problems * 19 Assignments

John Bird's approach, based on numerous worked examples and interactive problems, is ideal for students from a wide range of academic backgrounds, and can be worked through at the student's own pace. Basic mathematical theories are explained in the simplest of...

Pre-Calculus Know-It-ALL (Know It All)

McGraw-Hill, 2009

Master pre-calculus from the comfort of home!

Want to "know it ALL" when it comes to pre-calculus? This book gives you the expert, one-on-one instruction you need, whether you're new to pre-calculus or you're looking to ramp up your skills. Providing easy-to-understand concepts and thoroughly...

Constant Mean Curvature Surfaces with Boundary (Springer Monographs in Mathematics)

Springer, 2013

The study of surfaces with constant mean curvature (CMC) is one of the main topics in classical differential geometry. Moreover, CMC surfaces are important mathematical models for the physics of interfaces in the absence of gravity, where they separate two different media or for capillary phenomena. Further, as most techniques used in the...

Algebraic Geometry and Geometric Modeling (Mathematics and Visualization)

Springer, 2006

Algebraic Geometry and Geometric Modeling are two distinct domains of research, with few interactions up to now, though closely linked. On the one hand, Algebraic Geometry has developed an impressive theory targeting the understanding of geometric objects defined algebraically. On the other hand, Geometric Modeling is using every day, in practical...

Scattering of Electromagnetic Waves: Theories and Applications

John Wiley & Sons, 2000

A timely and authoritative guide to the state of the art of wave scattering

Scattering of Electromagnetic Waves offers in three volumes a complete and up-to-date treatment of wave scattering by random discrete scatterers and rough surfaces. Written by leading scientists who have made important contributions to wave scattering over...

Introduction to the Geometry of Complex Numbers

Dover Publications, 2008

The present work briefly develops the lectures which we have given since 1930 to the engineering candidates who chose the section of electromechanics at the Faculte polytechnique de Mons.

A memoir by Steinmetz 1 emphasized the simplifying role that can be played by the geometric interpretation of complex numbers in the...

Calculus Volume 3 by OpenStax

XanEdu Publishing Inc, 2016

This is the most affordable printed OpenStax book available. As an OpenStax Partner we print all OpenStax textbooks with a unique soft cover and B&W interior pages. The textbook s content is exactly the same as the OpenStax book (Digital ISBN-13: 978-1-947172-16-6 and Hardcover Print ISBN-13: 978-1-938168-07-9). This textbook is available...

Kernel Smoothing: Principles, Methods and Applications

John Wiley & Sons, 2018

Comprehensive theoretical overview of kernel smoothing methods with motivating examples

Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...

A Course in Probability and Statistics

Cengage Learning, 1995

This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection...

Nonparametric Tests for Censored Data

John Wiley & Sons, 2011

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most...

Robust Statistics: Theory and Methods (Probability and Statistics)

John Wiley & Sons, 2006

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...

Post-Optimal Analysis in Linear Semi-Infinite Optimization (SpringerBriefs in Optimization)

Springer, 2014

Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization...

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