Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Theorems of Pappus and Guldinus01:10

Theorems of Pappus and Guldinus

2.1K
The two theorems developed by Pappus and Guldinus are widely used in mathematics, engineering, and physics to find the surface area and volume of any body of revolution. This is done by revolving a plane curve around an axis that does not intersect the curve to find its surface area or revolving a plane area around a non-intersecting axis to calculate its volume.
For finding the surface area, consider a differential line element that generates a ring with surface area dA when revolved.
2.1K
Euler Equations of Motion01:19

Euler Equations of Motion

374
Imagine a rigid body that is rotating at an angular velocity of ω within an inertial frame of reference. Along with this, picture a second rotating frame that is attached to the body itself. This frame moves along with the body and possesses an angular velocity of Ω. The total moment about the center of mass is calculated by adding the rate of change of angular momentum about the center of mass in relation to the rotating frame and the cross-product of the body's angular velocity...
374
Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

17.1K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
17.1K
Euler's Equations of Motion01:28

Euler's Equations of Motion

612
In fluid mechanics, shear stresses arise from viscosity, which represents a fluid's internal resistance to deformation. For low-viscosity fluids, like water, these stresses are minimal, simplifying flow analysis by allowing the fluid to be treated as inviscid, or frictionless. In an inviscid fluid, shear stresses are absent, leaving only normal stresses, which act perpendicularly to fluid elements. Notably, pressure — defined as the negative of the normal stress — remains...
612
Cartesian Form for Vector Formulation01:26

Cartesian Form for Vector Formulation

823
The Cartesian form for vector formulation is a process to calculateĀ  the moment of force using the position and force vectors. The moment of force is defined as the cross-product of these vectors, making it a vector quantity. The Cartesian form of the position and force vectors involves unit vectors, which can be used to express the cross-product in determinant form.
823
Elevation of Intermediate Points on Vertical Curves01:20

Elevation of Intermediate Points on Vertical Curves

85
Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
85

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A fast, accurate and oscillation-free spectral collocation solver for high-dimensional transport problems.

Scientific reportsĀ·2026
Same author

Infrastructure adaptation and emergence of loops in network routing with time-dependent loads.

Physical review. EĀ·2023
Same author

Multicommodity routing optimization for engineering networks.

Scientific reportsĀ·2022
Same author

Network extraction by routing optimization.

Scientific reportsĀ·2020
Same author

Soil-plant interaction monitoring: Small scale example of an apple orchard in Trentino, North-Eastern Italy.

The Science of the total environmentĀ·2015
Same author

Spanning traceroutes over modular networks and general scaling degree distributions.

Physical review. E, Statistical, nonlinear, and soft matter physicsĀ·2010
Same journal

Serendipity discrete complexes with enhanced regularity.

CalcoloĀ·2025
Same journal

A simple, randomized algorithm for diagonalizing normal matrices.

CalcoloĀ·2025
Same journal

Pressure-improved Scott-Vogelius type elements.

CalcoloĀ·2024
Same journal

On the convergence rate of the Kačanov scheme for shear-thinning fluids.

CalcoloĀ·2021
Same journal

All-at-once multigrid approaches for one-dimensional space-fractional diffusion equations.

CalcoloĀ·2021
Same journal

Approximating inverse FEM matrices on non-uniform meshes with <math></math> -matrices.

CalcoloĀ·2021
See all related articles

Related Experiment Video

Updated: Oct 12, 2025

Experimental Methods for Spin- and Angle-Resolved Photoemission Spectroscopy Combined with Polarization-Variable Laser
09:00

Experimental Methods for Spin- and Angle-Resolved Photoemission Spectroscopy Combined with Polarization-Variable Laser

Published on: June 28, 2018

10.1K

Arbitrary-order intrinsic virtual element method for elliptic equations on surfaces.

Elena Bachini1,2, Gianmarco Manzini3, Mario Putti4

  • 1Department of Geosciences and Department of Mathematics "Tullio Levi-Civita", University of Padua, Padua , Italy.

Calcolo
|November 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Virtual Element Method (VEM) for solving partial differential equations on surfaces. The new approach accurately models surface geometry without explicit approximation, enhancing numerical solutions.

Keywords:
Geometrically intrinsic operatorsPolygonal meshSurface PDEsVirtual element methodhigh-order methods

More Related Videos

Precision Measurements and Parametric Models of Vertebral Endplates
10:35

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.6K
The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

22.0K

Related Experiment Videos

Last Updated: Oct 12, 2025

Experimental Methods for Spin- and Angle-Resolved Photoemission Spectroscopy Combined with Polarization-Variable Laser
09:00

Experimental Methods for Spin- and Angle-Resolved Photoemission Spectroscopy Combined with Polarization-Variable Laser

Published on: June 28, 2018

10.1K
Precision Measurements and Parametric Models of Vertebral Endplates
10:35

Precision Measurements and Parametric Models of Vertebral Endplates

Published on: September 17, 2019

6.6K
The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

22.0K

Area of Science:

  • Computational Mathematics
  • Numerical Analysis
  • Differential Geometry

Background:

  • Solving partial differential equations (PDEs) on curved surfaces presents significant computational challenges.
  • Existing numerical methods often require explicit surface meshing or approximations, which can introduce errors.
  • The Virtual Element Method (VEM) offers a flexible framework for discretizing complex geometries.

Purpose of the Study:

  • To develop a geometrically intrinsic formulation of the arbitrary-order Virtual Element Method (VEM) for elliptic surface PDEs.
  • To enable accurate numerical solutions without explicit surface geometry approximation.
  • To extend the theoretical properties of VEM to discretizations on surfaces.

Main Methods:

  • Formulation of elliptic surface PDEs in covariant form using local reference systems.
  • Application of a two-dimensional VEM scheme leveraging local parametrization.
  • Extension of classical VEM theoretical properties to handle anisotropic discretizations.

Main Results:

  • Demonstrated the effectiveness of the geometrically intrinsic VEM formulation on polygonal cells.
  • Validated theoretical properties through extensive testing on triangular and polygonal meshes with manufactured solutions.
  • Identified limitations related to surface regularity and approximation accuracy.

Conclusions:

  • The proposed VEM formulation provides a robust and accurate method for solving PDEs on surfaces.
  • The intrinsic approach avoids explicit surface approximation, simplifying the numerical solution process.
  • Further research can explore the method's performance on more complex surfaces and PDE types.