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Accuracy, limits, and approximation01:28

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Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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Consider a scenario where a circular shaft is subject to torque that remains within the boundaries of Hooke's Law, avoiding any permanent deformation. So, the formula for shearing strain is revisited. This formula is multiplied by the modulus of rigidity, and then Hooke's Law for the shearing stress and strain is applied. As a result, the equation for shearing stress in a shaft can be derived.
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
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Studying Large Amplitude Oscillatory Shear Response of Soft Materials
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Support and approximation properties of Hermite splines.

Julien Fageot1, Shayan Aziznejad1, Michael Unser1

  • 1Biomedical Imaging Group, École polytechnique fédérale de Lausanne (EPFL), Station 17, 1015 Lausanne, Switzerland.

Journal of Computational and Applied Mathematics
|April 8, 2020
PubMed
Summary

Hermite splines offer minimal support size and optimal approximation power, matching B-splines. These properties make Hermite splines highly suitable for computer graphics and geometric design applications.

Keywords:
Approximation errorHermite interpolationMinimum-support property

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Area of Science:

  • Mathematics
  • Computer Science
  • Geometric Design

Background:

  • Hermite splines are essential in various applications.
  • Understanding their mathematical properties is crucial for optimization.

Purpose of the Study:

  • To formally investigate the localization and approximation power of Hermite splines.
  • To compare Hermite splines with B-spline approximation schemes.

Main Methods:

  • Demonstrating maximal localization of Hermite splines.
  • Quantifying the approximation error for function and derivative reconstruction.
  • Analyzing asymptotic approximation error constants.

Main Results:

  • Hermite splines exhibit minimal support size for given reproduction properties.
  • Hermite and B-spline schemes share identical approximation orders and asymptotic error constants.
  • Hermite splines possess optimal localization and approximation power.

Conclusions:

  • Hermite splines offer a compelling combination of properties, including interpolation and closed-form expressions.
  • These findings highlight the utility of Hermite splines in computer graphics and geometric design.