Rigorous a priori error bounds for floating-point computations are derived. We will show that using interval tools in combination with function and operator overloading such bounds can be computed on a computer automatically in a very convenient way. The bounds are of worst case type. They hold uniformly for the specified domain of input values. That means, whenever the floating point computation is repeated later on with any set of point input values from that domain the difference of the exact result and the computed result is guaranteed to be smaller than the a priori error bound. Our techniques can be used to get reliable a priori error bounds for already existing program code. Here, loops, recursion, and iterations are allowed. To demo...
We propose a hardware-computed estimate of the roundoff error in floating-point com-putations. The e...
This note summarizes recent progress in error bounds for compound operations performed in some compu...
Verification of programs using floating-point arithmetic is challenging on several accounts. One of ...
(eng) We present a new tool that generates bounds on the values and the round-off errors of programs...
Aggregated roundoff errors caused by floating-point arithmetic can make numerical code highly unreli...
International audiencePrograms with floating-point computations are often derived from mathematical ...
This thesis develops tight upper and lower bounds on the relative error in various schemes for perf...
Programs with floating-point computations are often derived from mathematical models or designed wit...
We present a detailed study of roundoff errors in probabilistic floating-point computations. We deri...
International audienceThe most well-known feature of floating-point arithmetic is the limited precis...
dissertationVirtually all real-valued computations are carried out using floating-point data types a...
International audienceFloating-point numbers are limited both in range and in precision, yet they ar...
Reasoning about floating-point numbers is notoriously difficult, owing to the lack of convenient alg...
Part 4: Short ContributionsInternational audiencePrograms with floating-point computations are often...
In this thesis we present an approach to automated verification of floating point programs. Existing...
We propose a hardware-computed estimate of the roundoff error in floating-point com-putations. The e...
This note summarizes recent progress in error bounds for compound operations performed in some compu...
Verification of programs using floating-point arithmetic is challenging on several accounts. One of ...
(eng) We present a new tool that generates bounds on the values and the round-off errors of programs...
Aggregated roundoff errors caused by floating-point arithmetic can make numerical code highly unreli...
International audiencePrograms with floating-point computations are often derived from mathematical ...
This thesis develops tight upper and lower bounds on the relative error in various schemes for perf...
Programs with floating-point computations are often derived from mathematical models or designed wit...
We present a detailed study of roundoff errors in probabilistic floating-point computations. We deri...
International audienceThe most well-known feature of floating-point arithmetic is the limited precis...
dissertationVirtually all real-valued computations are carried out using floating-point data types a...
International audienceFloating-point numbers are limited both in range and in precision, yet they ar...
Reasoning about floating-point numbers is notoriously difficult, owing to the lack of convenient alg...
Part 4: Short ContributionsInternational audiencePrograms with floating-point computations are often...
In this thesis we present an approach to automated verification of floating point programs. Existing...
We propose a hardware-computed estimate of the roundoff error in floating-point com-putations. The e...
This note summarizes recent progress in error bounds for compound operations performed in some compu...
Verification of programs using floating-point arithmetic is challenging on several accounts. One of ...