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This book is the proceedings of the Fourth International Conference
on Quantitative Logic and Soft Computing (QLSC2016) held 14-17,
October, 2016 in Zhejiang Sci-Tech University, Hangzhou, China. It
includes 61 papers, of which 5 are plenary talks( 3 abstracts and 2
full length talks). QLSC2016 was the fourth in a series of
conferences on Quantitative Logic and Soft Computing. This
conference was a major symposium for scientists, engineers and
practitioners to present their updated results, ideas, developments
and applications in all areas of quantitative logic and soft
computing. The book aims to strengthen relations between industry
research laboratories and universities in fields such as
quantitative logic and soft computing worldwide as follows: (1)
Quantitative Logic and Uncertainty Logic; (2) Automata and
Quantification of Software; (3) Fuzzy Connectives and Fuzzy
Reasoning; (4) Fuzzy Logical Algebras; (5) Artificial Intelligence
and Soft Computing; (6) Fuzzy Sets Theory and Applications.
While recruiting college graduates, the author was surprised to
find that many candidates who were working toward their master's
degrees in computer science were unable to demonstrate the desired
programming skills, though they all indicated in their resumes that
they are proficient in C/C++ and objected oriented programming. It
appears to the author that there is a gap between academic training
and real world computing. As a veteran software developer with an
interdisciplinary education background in engineering and applied
mathematics, the author was determined to write a book for those
who want to pursue a career in developing computational software
for engineering and scientific applications. Readers will learn not
only a disciplined way to implement numerical methods but also the
software development process as a whole. In reading this book and
completing all of the hands-on programming exercises, readers will
gain an assured confidence and the sound programming skills needed
to work in a software house or to develop their own computational
software. Numerical methods in this book include evaluation of
polynomial and series, root-finding, linear and nonlinear systems,
inverse of a matrix, eigenvalues and eigenvector, integration, and
least squares approximation. These methods are grouped and
presented based on their implementation styles rather than their
relevance. This book is organized as follows: Chapter 1 is a
fast-paced brief introduction to C/C++ programming under Microsoft
Visual Studio to familiarize readers with basic C/C++ syntax and
debugging tools. Chapter 2 discusses floating-point notation,
comparison, and arithmetic. Rudimentary understanding of
floating-point is a pre-requisite for programmers. Failure to
understand it is often the source of problems in numerical
programming. Chapter 3 continues the study of advanced C/C++
programming such as default arguments, data structure and class,
double pointers, dynamic memory allocations, and STL containers.
Algorithm efficiency analysis and big O notation will also be
discussed. This chapter is designed to help readers to gain the
required C/C++ proficiency in implementing numerical methods.
Chapter 4 is devoted to give readers an insight on how a
computational software library may actually be developed in a
software house. Readers will learn how to create and use a
dynamic-link library, how to design flexible test drivers, and how
to write scripts to improve productivity, to execute test suites
automatically, and to compare the test results with the predicted
outcomes. Chapter 5 deals with recursive algorithm. Because of its
problem-solving power and simplicity in implementation, recursion
in numerical methods will be discussed in this chapter with
emphasizes on performance and memory usage. Chapter 6 discusses
linear systems. Topics include solution to system of linear
equations, matrix manipulation, inverse of a matrix, eigenvalue and
eigenvector. Chapter 7 and 8 explore how to use function pointers,
generic data pointer, and inheritance with polymorphism to design
extensible and reusable code - an important topic in software
engineering. Chapter 9 discusses the least square approximation
method whose applications can be found in many fields such as
computer-aided design, metrology, image processing, etc. Chapter 10
aims to develop a simple windows-based application for data
visualization and manipulation. Through this miniature application,
readers will get a glimpse of how sophisticated CAD/CAM systems are
developed. Chapter 11 discusses how classical numerical methods can
be parallelized to take the advantage of multi-thread programming.
Common problems associated with parallel computing such as data
race conditions, workload balance, synchronization, and parallel
slowdown are discussed in detail. Appendix A is a brief
introduction to Perl programming. Appendix B contains answers to
all seven pre-interview questions given in the preface.
The QL&SC 2012 is a major symposium for scientists, and
practitioners all around the world to present their latest
researches, results, ideas, developments and applications in such
areas as quantitative logic, many-valued logic, fuzzy logic,
quantification of software, artificial intelligence, fuzzy sets and
systems and soft computing.This invaluable book provides a broad
introduction to the fuzzy reasoning and soft computing. It is
certain one should not go too far in approximation and
optimization, and a certain degree must be kept in mind. This is
the essential idea of quantitative logic and soft computing.The
explanations in the book are complete to provide the necessary
background material needed to go further into the subject and
explore the research literature. It is suitable reading for
graduate students. It provides a platform for mutual exchanges from
top experts and scholars around the world in this field.
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