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Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)
Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)

Based on the author's lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians,...

Fusion 360 for Makers: Design Your Own Digital Models for 3D Printing and CNC Fabrication
Fusion 360 for Makers: Design Your Own Digital Models for 3D Printing and CNC Fabrication

Learn how to use Autodesk Fusion 360 to digitally model your own original projects for a 3D printer or a CNC device. Fusion 360 software lets you design, analyze, and print your ideas. Free to students and small businesses alike, it offers solid, surface, organic, direct, and parametric modeling capabilities.

...

Biomedical Image Analysis: Segmentation (Synthesis Lectures on Image, Video, & Multimedia Processing)
Biomedical Image Analysis: Segmentation (Synthesis Lectures on Image, Video, & Multimedia Processing)
The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful regions is perhaps the main roadblock in the automation of...
Scattering of Electromagnetic Waves: Theories and Applications
Scattering of Electromagnetic Waves: Theories and Applications
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
...
Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control)
Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control)
Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs.

Model Predictive Control System Design and Implementation Using MATLAB®...

Python Playground: Geeky Projects for the Curious Programmer
Python Playground: Geeky Projects for the Curious Programmer

Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next?

Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of
...

Kernel Smoothing: Principles, Methods and Applications
Kernel Smoothing: Principles, Methods and Applications

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...

Nonparametric Tests for Censored Data
Nonparametric Tests for Censored Data

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)
Robust Statistics: Theory and Methods (Probability and Statistics)
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)
Post-Optimal Analysis in Linear Semi-Infinite Optimization (SpringerBriefs in Optimization)

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...

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

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...

Radar System Performance Modeling, Second Edition
Radar System Performance Modeling, Second Edition
This book addresses the needs of system analysts for radar models and analysis
tools. It describes the basic principles of radar operation, how radar is configured
and used in military and civilian systems, and how to analyze and model radar at the
system level. The book presents and explains equations, computational methods,...
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