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Simple and Rapid Model to Generate Differentiated Endometrial Floating Organoids. [PDF]

open access: yesBio Protoc
Bajetto A   +6 more
europepmc   +1 more source

Small target detection of floating objects in river channels based on improved YOLOv7. [PDF]

open access: yesSci Rep
Yang W   +13 more
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Resistance to the KRASG12D Inhibitor MRTX1133 Is Associated with Increased Sensitivity to BET Inhibition. [PDF]

open access: yesMol Cancer Ther
Principe DR   +6 more
europepmc   +1 more source
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The Accuracy of Floating Point Summation

SIAM Journal of Scientific Computing, 1993
The author studies five summation methods for computing the sum of a number of floating point numbers. The accuracy is compared using rounding error analysis and numerical experiments. Reordering the numbers is a central idea. Statistical estimates are provided and the model with no guard digit is also considered. No particular method is uniformly more
Nicholas J Higham
exaly   +4 more sources

Floating-Point Tricks

IEEE Computer Graphics and Applications, 1997
The author discusses IEEE floating point representation that stores numbers in what amounts to scientific notation. He considers the sign bit, the logarithm function, function approximations, errors and refinements.
Gerben J. Hekstra, Ed F. Deprettere
openaire   +2 more sources

Beyond Floating Point

Journal of the ACM, 1984
A new number system is proposed for computer arithmetic based on iterated exponential functions. The main advantage is to eradicate overflow and underflow, but there are several other advantages and these are described and discussed.
C. W. Clenshaw, Frank W. J. Olver
openaire   +1 more source

Accurate floating-point summation

Communications of the ACM, 1970
This paper describes an alternate method for summing a set of floating-point numbers. Comparison of the error bound for this method with that of the standard summation method shows that it is considerably less sensitive to propagation of round-off error.
Peter Linz
exaly   +2 more sources

Tapered Floating Point: A New Floating-Point Representation

IEEE Transactions on Computers, 1971
It is well known that there is a possible tradeoff in the binary representation of floating-point numbers in which one bit of accuracy can be gained at the cost of halving the exponent range, and vice versa. A way in which the exponent range can be greatly increased while preserving full accuracy for most computations is suggested.
openaire   +2 more sources

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