The Mpfr Library: Algorithms and Proofs

ثبت نشده
چکیده

1. Notations and Assumptions 2 2. Error calculus 2 2.1. Ulp calculus 2 2.2. Relative error analysis 4 2.3. Generic error of addition/subtraction 4 2.4. Generic error of multiplication 5 2.5. Generic error of inverse 5 2.6. Generic error of division 6 2.7. Generic error of square root 7 2.8. Generic error of the exponential 7 2.9. Generic error of the logarithm 8 2.10. Ulp calculus vs relative error 8 3. Low level functions 9 3.1. The mpfr add function 9 3.2. The mpfr cmp2 function 9 3.3. The mpfr sub function 10 3.4. The mpfr mul function 11 3.5. The mpfr div function 11 3.6. The mpfr sqrt function 13 3.7. The inverse square root 13 3.8. The mpfr remainder and mpfr remquo functions 15 4. High level functions 15 4.1. The cosine function 15 4.2. The sine function 16 4.3. The tangent function 17 4.4. The exponential function 17 4.5. The error function 18 4.6. The hyperbolic cosine function 19 4.7. The inverse hyperbolic cosine function 20 4.8. The hyperbolic sine function 21 4.9. The inverse hyperbolic sine function 22 4.10. The hyperbolic tangent function 23 4.11. The inverse hyperbolic tangent function 24 4.12. The arc-sine function 25

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Mpfr Library: Algorithms and Proofs

1. Error calculus 2 1.1. Ulp calculus 2 1.2. Relative error analysis 4 1.3. Generic error of addition/subtraction 4 1.4. Generic error of multiplication 5 1.5. Generic error of inverse 5 1.6. Generic error of division 6 1.7. Generic error of square root 7 1.8. Generic error of the exponential 7 1.9. Generic error of the logarithm 8 1.10. Ulp calculus vs relative error 9 2. Low level functions 9...

متن کامل

SIPE: a Mini-Library for Very Low Precision Computations with Correct Rounding

SIPE is a mini-library in the form of a C header file, to perform radix-2 floating-point computations in very low precisions with correct rounding, either to nearest or toward zero. The goal of such a tool is to do proofs of algorithms/properties or computations of tight error bounds in these precisions by exhaustive tests, in order to try to generalize them to higher precisions. The currently ...

متن کامل

Performance evaluation of multiple precision matrix multiplications using parallelized Strassen and Winograd algorithms

It is well known that Strassen and Winograd algorithms can reduce the computational costs associated with dense matrix multiplication. We have already shown that they are also very effective for software-based multiple precision floating-point arithmetic environments such as the MPFR/GMP library. In this paper, we show that we can obtain the same effectiveness for double-double (DD) and quadrup...

متن کامل

The Generic Multiple-Precision Floating-Point Addition With Exact Rounding (as in the MPFR Library)

We study the multiple-precision addition of two positive floating-point numbers in base 2, with exact rounding, as specified in the MPFR library, i.e. where each number has its own precision. We show how the best possible complexity (up to a constant factor that depends on the implementation) can be obtain.

متن کامل

Reliable Computing with GNU MPFR

This article presents a few applications where reliable computations are obtained using the GNU MPFR library.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009