Results 211 to 220 of about 94,745 (265)
Some of the next articles are maybe not open access.
2021
Standard IEEE floating point, which defines the representation and calculations of real numbers using a binary representation similar to scientific notation, does not define an exact floating-point result. In contrast, here we use a patented bounded floating-point (BFP) device and method for calculating and retaining the precision of the floating-point
Alan A. Jorgensen, Andrew C. Masters
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Standard IEEE floating point, which defines the representation and calculations of real numbers using a binary representation similar to scientific notation, does not define an exact floating-point result. In contrast, here we use a patented bounded floating-point (BFP) device and method for calculating and retaining the precision of the floating-point
Alan A. Jorgensen, Andrew C. Masters
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Fixed point versus floating point
SIMULATION, 1968This paper discusses the advantages of using fixed-point arithmetic in a hybrid environment. The particular ex ample used is that of a hybrid simulation system. The paper discusses the performance penalties which are paid in using floating-point arithmetic as opposed to fixed-point arithmetic.
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2020
Working with big integers can be seen as an abstract art, and if the cryptosystems are not implemented properly, the entire cryptographic algorithm or scheme can lead to a real disaster. This chapter focuses on floating-point arithmetic and its importance for cryptography.
Marius Iulian Mihailescu +1 more
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Working with big integers can be seen as an abstract art, and if the cryptosystems are not implemented properly, the entire cryptographic algorithm or scheme can lead to a real disaster. This chapter focuses on floating-point arithmetic and its importance for cryptography.
Marius Iulian Mihailescu +1 more
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Arbitrary-Precision Floating Point
2017Floating-Point numbers using the IEEE standard have a fixed number of bits associated with them. This limits the precision with which they can represent actual real numbers. In this chapter we examine arbitrary precision, also called multiple precision, floating-point numbers. We look at how they are represented in memory and how basic arithmetic works.
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2021
So far, the only numbers we’ve dealt with are integers—numbers with no decimal point. Computers have a general problem with numbers with decimal points, because computers can only store fixed-size, finite values. Decimal numbers can be any length, including infinite length (think of a repeating decimal, like the result of 1/3).
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So far, the only numbers we’ve dealt with are integers—numbers with no decimal point. Computers have a general problem with numbers with decimal points, because computers can only store fixed-size, finite values. Decimal numbers can be any length, including infinite length (think of a repeating decimal, like the result of 1/3).
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2012
There are many data processing applications (e.g. image and voice processing), which use a large range of values and that need a relatively high precision. In such cases, instead of encoding the information in the form of integers or fixed-point numbers, an alternative solution is a floating-point representation.
Jean-Pierre Deschamps +2 more
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There are many data processing applications (e.g. image and voice processing), which use a large range of values and that need a relatively high precision. In such cases, instead of encoding the information in the form of integers or fixed-point numbers, an alternative solution is a floating-point representation.
Jean-Pierre Deschamps +2 more
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1986
So far throughout this introduction to assembly language programming we have only been concerned with integers, or whole numbers. As in the real world though, floating point numbers also exist in the machine code world. A floating point number is one that contains a decimal point (although in binary this is more correctly referred to as a ‘bicimal ...
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So far throughout this introduction to assembly language programming we have only been concerned with integers, or whole numbers. As in the real world though, floating point numbers also exist in the machine code world. A floating point number is one that contains a decimal point (although in binary this is more correctly referred to as a ‘bicimal ...
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1995
Floating-point storage of data takes care of many of the nasty problems that occur when you are using integers and fixed-point numbers. But floating-point storage has its own problems.
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Floating-point storage of data takes care of many of the nasty problems that occur when you are using integers and fixed-point numbers. But floating-point storage has its own problems.
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2015
Decimal floating-point is an emerging standard which uses base 10 instead of base 2 to represent floating-point numbers. In this chapter we will take a look at how decimal floating-point numbers are stored using the IEEE 754-2008 standard as our reference.
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Decimal floating-point is an emerging standard which uses base 10 instead of base 2 to represent floating-point numbers. In this chapter we will take a look at how decimal floating-point numbers are stored using the IEEE 754-2008 standard as our reference.
openaire +1 more source