This chapter provides a general introduction to interval computations, especially to interval computations as an important part of granular computing. This introduction is aimed at researchers who would like to learn more - and eventually to use - the main ideas and techniques of granular computing. We explain how intervals naturally appear in data processing, which techniques exist for processing intervals, and how these techniques have been historically developed
intervals is a library for interval computing in Python. The library implements optimized interval a...
(eng) This paper explains why an arbitrary precision interval arithmetic is needed: to provide accur...
Reliability of computational results is crucial in computational science and engineering. In this pa...
Interval arithmetic is the mathematical structure, which for real intervals defines operations analo...
Interval computing has become a powerful tool in applied research. In this paper, we briefly introdu...
International audienceIntervals have been considered by mathematicians for a while, in the study of ...
Primary Audience for the Book • Specialists in numerical computations who are interested in algorith...
Interval methods represent a relatively new research direction in digital sig-nal processing. Though...
This volume is about knowledge processing with interval and soft computing, i.e., about techniques t...
Abstract. This paper presents the concept of interval representation and shows some of its propertie...
This article provides definitions and principles of granular computing and discusses the generation ...
There are many papers that experimentally compare effectiveness of different teaching techniques. Mo...
Interval analysis is an alternative to conventional floating-point computation that offers guarantee...
AbstractIt is well known that interval computations are very important, both by themselves (as a met...
In interval analysis, an interval is treated not only as a set of numbers, but as a number in and of...
intervals is a library for interval computing in Python. The library implements optimized interval a...
(eng) This paper explains why an arbitrary precision interval arithmetic is needed: to provide accur...
Reliability of computational results is crucial in computational science and engineering. In this pa...
Interval arithmetic is the mathematical structure, which for real intervals defines operations analo...
Interval computing has become a powerful tool in applied research. In this paper, we briefly introdu...
International audienceIntervals have been considered by mathematicians for a while, in the study of ...
Primary Audience for the Book • Specialists in numerical computations who are interested in algorith...
Interval methods represent a relatively new research direction in digital sig-nal processing. Though...
This volume is about knowledge processing with interval and soft computing, i.e., about techniques t...
Abstract. This paper presents the concept of interval representation and shows some of its propertie...
This article provides definitions and principles of granular computing and discusses the generation ...
There are many papers that experimentally compare effectiveness of different teaching techniques. Mo...
Interval analysis is an alternative to conventional floating-point computation that offers guarantee...
AbstractIt is well known that interval computations are very important, both by themselves (as a met...
In interval analysis, an interval is treated not only as a set of numbers, but as a number in and of...
intervals is a library for interval computing in Python. The library implements optimized interval a...
(eng) This paper explains why an arbitrary precision interval arithmetic is needed: to provide accur...
Reliability of computational results is crucial in computational science and engineering. In this pa...