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Scientific Computing, Computer Arithmetic, and Validated Numerics

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Cover of 'Scientific Computing, Computer Arithmetic, and Validated Numerics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Hausdorff Continuous Interval Functions and Approximations
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    Chapter 2 Replacing Branches by Polynomials in Vectorizable Elementary Functions
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    Chapter 3 The Forthcoming IEEE Standard 1788 for Interval Arithmetic
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    Chapter 4 Numerical Probabilistic Approach for Optimization Problems
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    Chapter 5 Towards the Possibility of Objective Interval Uncertainty
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    Chapter 6 How Much for an Interval? a Set? a Twin Set? a p-Box? A Kaucher Interval? Towards an Economics-Motivated Approach to Decision Making Under Uncertainty
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    Chapter 7 Sliding Mode Approaches Considering Uncertainty for Reliable Control and Computation of Confidence Regions in State and Parameter Estimation
  9. Altmetric Badge
    Chapter 8 Scientific Computing, Computer Arithmetic, and Validated Numerics
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    Chapter 9 Tight Bounds on the Radius of Nonsingularity
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    Chapter 10 Optimal Preconditioning for the Interval Parametric Gauss–Seidel Method
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    Chapter 11 Reproducible and Accurate Matrix Multiplication
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    Chapter 12 Outer Bounds for the Parametric Controllable Solution Set with Linear Shape
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    Chapter 13 Reserve of Characteristic Inclusion as Recognizing Functional for Interval Linear Systems
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    Chapter 14 Convergence and Inclusion Isotonicity of the Tensorial Rational Bernstein Form
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    Chapter 15 The Bernstein Branch-and-Bound Unconstrained Global Optimization Algorithm for MINLP Problems
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    Chapter 16 Interval Regularization Approach to the Firordt Method of the Spectrophotometric Analysis of the Non-separated Mixtures
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    Chapter 17 Computing Capture Tubes
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    Chapter 18 Some Remarks on the Rigorous Estimation of Inverse Linear Elliptic Operators
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    Chapter 19 Verified Parameter Identification for Dynamic Systems with Non-Smooth Right-Hand Sides
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    Chapter 20 Exponential Enclosure Techniques for Initial Value Problems with Multiple Conjugate Complex Eigenvalues
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    Chapter 21 Curve Veering for the Parameter-dependent Clamped Plate
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    Chapter 22 Numerical Verification for Elliptic Boundary Value Problem with Nonconforming $$\mathcal {P}_1$$ P 1 Finite Elements
Attention for Chapter 8: Scientific Computing, Computer Arithmetic, and Validated Numerics
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Chapter title
Scientific Computing, Computer Arithmetic, and Validated Numerics
Chapter number 8
Book title
Scientific Computing, Computer Arithmetic, and Validated Numerics
Published in
Lecture notes in computer science, September 2015
DOI 10.1007/978-3-319-31769-4_8
Book ISBNs
978-3-31-931768-7, 978-3-31-931769-4
Authors

Chemseddine Chohra, Philippe Langlois, David Parello

Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2016.
All research outputs
#4,191,735
of 22,881,154 outputs
Outputs from Lecture notes in computer science
#989
of 8,129 outputs
Outputs of similar age
#55,480
of 274,347 outputs
Outputs of similar age from Lecture notes in computer science
#15
of 159 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 274,347 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.