Science and engineering depend upon computation of functions such as flow fields, charge distributions, and quantum states. Ultimately, such computations require some kind of discretization, but in recent years it has become possible in many cases to hide the discretizations from the user. We present the Chebfun system for numerical computation with functions, which is based on a key idea: an analogy of floating-point arithmetic for functions rather than number
This paper deals with computer generation of numerical functional formulas describing results of sci...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scient...
Numerical computation is traditionally performed using floating-point arithmetic and truncated forms...
Science and engineering depend upon computation of functions such as flow fields, charge distributio...
13 page, 1 figureThe differences between the sets in which ideal arithmetics takes place and the set...
Historically the fields of numerical and symbolic methods for scientific applications have been wide...
[...] In the chapter there are discussed basic types of floating-point calculations errors which re...
This textbook presents the concepts and tools necessary to understand, build, and implement algorith...
honors thesisCollege of ScienceMathematicsDavar KhoshnevisanThe knowledge and skills of the floating...
The volume is devoted to the interaction of modern scientific computation and classical function the...
Floating-point numbers have an intuitive meaning when it comes to physics-based numerical computatio...
Best paper awardInternational audienceA typical floating-point environment includes sup-port for a s...
Computer Number Systems and Floating Point Arithmetic Introduction Conversion from Base 10 to Base 2...
This article is the first in a series expounding the joys of functional calculation. Functional calc...
This article introduces a new program transformation in order to enhance the numerical accuracy of f...
This paper deals with computer generation of numerical functional formulas describing results of sci...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scient...
Numerical computation is traditionally performed using floating-point arithmetic and truncated forms...
Science and engineering depend upon computation of functions such as flow fields, charge distributio...
13 page, 1 figureThe differences between the sets in which ideal arithmetics takes place and the set...
Historically the fields of numerical and symbolic methods for scientific applications have been wide...
[...] In the chapter there are discussed basic types of floating-point calculations errors which re...
This textbook presents the concepts and tools necessary to understand, build, and implement algorith...
honors thesisCollege of ScienceMathematicsDavar KhoshnevisanThe knowledge and skills of the floating...
The volume is devoted to the interaction of modern scientific computation and classical function the...
Floating-point numbers have an intuitive meaning when it comes to physics-based numerical computatio...
Best paper awardInternational audienceA typical floating-point environment includes sup-port for a s...
Computer Number Systems and Floating Point Arithmetic Introduction Conversion from Base 10 to Base 2...
This article is the first in a series expounding the joys of functional calculation. Functional calc...
This article introduces a new program transformation in order to enhance the numerical accuracy of f...
This paper deals with computer generation of numerical functional formulas describing results of sci...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scient...
Numerical computation is traditionally performed using floating-point arithmetic and truncated forms...