This book contains 71 original, scientific articles that address state-of-the-art
research related to scale space and variational methods for image processing and
computer vision. Topics covered in the book range from mathematical analysis
of both established and new models, fast numerical methods, image analysis,
segmentation,...
This book is about guaranteed numerical methods based on interval analysis for approximating sets, and about the application of these methods to vast classes of engineering problems. Guaranteed means here that inner and outer approximations of the sets of interest are obtained, which can be made as precise as desired, at the cost of...
This book is intended to be accessible to undergraduate students with two
years of typical mathematics experience, most likely meaning calculus with a little
linear algebra and differential equations. Thus, specifically, there is no assumption
oLa background inabstr&;t algebra or number theory, nor of probability, nor of
linear...
Trying to tackle algebra but nothing's adding up? No problem! Factor in Algebra Demystified, Second Edition and multiply your chances of learning this important branch of mathematics.
Written in a step-by-step format, this practical guide covers fractions, variables,...
Over the last few decades, energy minimization methods have become an established
paradigm to resolve a variety of challenges in the fields of computer vision
and pattern recognition. While traditional approaches to computer vision were
often based on a heuristic sequence of processing steps and merely allowed a
very limited...
This updated third edition illustrates the mathematical concepts that a game developer needs to develop 3D computer graphics and game engines at the professional level. It starts at a fairly basic level in areas such as vector geometry and linear algebra, and then progresses to more advanced topics in 3D programming such as illumination and...
Formerly used mainly by specialists in signal processing and numerical
analysis, MATLAB® in recent years has achieved widespread and enthusiastic
acceptance throughout the engineering community. Many engineering
schools now require a course based entirely or in part on MATLAB early in
the curriculum. MATLAB is programmable and has...
A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance
The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and...
Approximation methods are of vital importance in many challenging applications
from computational science and engineering. This book collects papers
from world experts in a broad variety of relevant applications of approximation
theory, including pattern recognition and machine learning, multiscale modelling
of fluid flow, metrology,...
This book originates from the desire to perpetuate expertise in the field of
performance evaluation, particularly for telecommunication systems and
networks. It is obviously impossible to translate into a single work all the
facets of an activity which encompasses many systems and a great variety of
domains such as standardization,...
This is a textbook for a first- or second-year graduate course for electrical and computer
engineering (ECE) students in the area of digital image and video processing
and coding. The course might be called Digital Image and Video Processing (DIVP)
or some such, and has its heritage in the signal processing and communications areas
of...
I would like to start by explaining how I came to write this
book, and to acknowledge its influences and the help I have
received along the way.
I have been extremely fortunate. I have a wonderful wife and
two wonderful grown-up children, and I have had all but thirty
years working for Shell, which provided an environment...
