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By Michael L. Overton

Are you conversant in the IEEE floating element mathematics typical? do you want to appreciate it higher? This booklet offers a huge evaluation of numerical computing, in a old context, with a different specialise in the IEEE average for binary floating element mathematics. Key rules are constructed step-by-step, taking the reader from floating aspect illustration, safely rounded mathematics, and the IEEE philosophy on exceptions, to an realizing of the the most important recommendations of conditioning and balance, defined in an easy but rigorous context. It supplies technical info that aren't on hand in different places and contains tough workouts that transcend the subjects lined within the textual content.

Numerical Computing with IEEE Floating aspect mathematics offers an simply available but special dialogue of IEEE Std 754-1985, arguably an important commonplace within the laptop undefined. the results of an extraordinary cooperation among educational desktop scientists and the leading edge of undefined, it really is supported by way of almost each glossy desktop. different issues comprise the floating element structure of the Intel microprocessors and a dialogue of programming language help for a standard.

The ebook might be available to scholars at any point, in addition to to any reader with an curiosity in desktops and arithmetic. It presents adequate number of content material that every one however the such a lot specialist readers will locate anything of curiosity.

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Read or Download Numerical computing with IEEE floating point arithmetic: including one theorem, one rule of thumb, and one hundred and one exercises PDF

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Numerical computing with IEEE floating point arithmetic: including one theorem, one rule of thumb, and one hundred and one exercises

Are you acquainted with the IEEE floating element mathematics typical? do you want to appreciate it larger? This e-book offers a extensive evaluation of numerical computing, in a historic context, with a unique specialize in the IEEE common for binary floating element mathematics. Key rules are built step-by-step, taking the reader from floating element illustration, accurately rounded mathematics, and the IEEE philosophy on exceptions, to an knowing of the an important innovations of conditioning and balance, defined in an easy but rigorous context.

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Extra info for Numerical computing with IEEE floating point arithmetic: including one theorem, one rule of thumb, and one hundred and one exercises

Example text

On one Cray machine, the computed result x © y is wrong by a factor of 2, since a 1 is shifted past the end of the second operand's significand and discarded. Thus we have On another Cray machine, the second operand y is rounded before the operation takes place. 4 is no, even though x and y are not small numbers. CHAPTER 6. CORRECTLY ROUNDED FLOATING POINT OPERATIONS 37 Multiplication and Division Floating point multiplication and division, unlike addition and subtraction, do not require significands to be aligned.

For example, if the operation is the addition of two floating point numbers that are stored in registers, the destination for the result is normally one of these registers (overwriting one of the operands). On the other hand, the operation might be a store instruction, in which case the destination is a location in memory and a format conversion may be required. Regardless of whether the destination is a register or a memory location, its format could be IEEE single, double, or extended, depending on the machine being used and the program being executed.

If the closest number is zero, we set the sign of zero to be the sign of x. For example, consider the toy floating point number system again. 1. , X- is obtained by truncating the binary expansion of the significand, discarding bp, bp+i, etc. , at least one of the discarded bits in its expansion is nonzero, then the next floating point number bigger than X-, and therefore also the next one that is bigger than x (which must lie between x~ and x+). 6). Finding the binary expansion of x+ is a little more complicated, since one bit must be added to the last place of the fraction field of X-; this may involve some "carries" and possibly, if all the bits in the field are 1, an increment in the exponent field.

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