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

Alternative Sets of Equilibrium Equations01:31

Alternative Sets of Equilibrium Equations

480
When analyzing the behavior of structures, engineers often rely on the concept of equilibrium. This refers to the state where all forces and moments acting on a system balance each other, resulting in no net movement or rotation. In many cases, equilibrium can be described by a set of standard equations. However, in some situations, alternative sets of equilibrium equations must be used to describe the system's behavior accurately.
One example of such a situation can be observed in a...
480
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

732
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
732
Dynamic Equilibrium02:20

Dynamic Equilibrium

55.4K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
55.4K
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

690
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
690
Categories of Equilibrium01:30

Categories of Equilibrium

2.6K
Equilibrium is a crucial concept in physics, enabling us to understand how forces interact with bodies to produce no or constant motion. In two-dimensional equilibrium, force systems can be classified into different categories based on their characteristics.
One of the categories of equilibrium is collinear equilibrium, which involves forces acting along a straight line. This type of equilibrium requires only one force equation in the direction of the forces, as the other equations are...
2.6K
Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

550
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
550

You might also read

Related Articles

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

Sort by
Same author

Controlled analog Ising machine: An accelerated and accuracy-enhanced intelligent solver for edge computing.

Innovation (Cambridge (Mass.))·2026
Same author

Strong Acid Modification Unlocks Synergy of Dissociation and Hydration in Hydrogels for High-Performance Osmotic Energy Conversion.

ACS applied materials & interfaces·2026
Same author

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems.

IEEE transactions on neural networks and learning systems·2026
Same author

Intranasal stromal cell-derived factor-1α mitigates parkinsonian deficits via dual modulation of neuroinflammation and gut microbiota in MPTP-induced models.

Brain research·2026
Same author

Accurate and generalized channel emulator of a hollow-core fiber communication system combining amplitude and phase.

Optics express·2026
Same author

Comparative Prefrontal Multimodal Physiological Signatures Under Active- and Passive-Fatigue-Inducing Simulated Driving Paradigms.

Brain sciences·2026

Related Experiment Video

Updated: Sep 29, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.2K

Distributed Nash Equilibrium Seeking in Consistency-Constrained Multicoalition Games.

Jialing Zhou, Yuezu Lv, Guanghui Wen

    IEEE Transactions on Cybernetics
    |March 25, 2022
    PubMed
    Summary

    This study introduces a novel algorithm for distributed Nash equilibrium (NE) seeking in multicoalition games with agreement demands. The method ensures linear convergence, unifying networked games and distributed optimization.

    More Related Videos

    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.5K
    New Variations for Strategy Set-shifting in the Rat
    09:45

    New Variations for Strategy Set-shifting in the Rat

    Published on: January 23, 2017

    8.3K

    Related Experiment Videos

    Last Updated: Sep 29, 2025

    The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
    06:18

    The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

    Published on: October 20, 2022

    2.2K
    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.5K
    New Variations for Strategy Set-shifting in the Rat
    09:45

    New Variations for Strategy Set-shifting in the Rat

    Published on: January 23, 2017

    8.3K

    Area of Science:

    • Game Theory
    • Distributed Systems
    • Network Science

    Background:

    • Existing research on distributed Nash equilibrium (NE) seeking in multicoalition games primarily addresses scenarios lacking intra-coalition agreement demands.
    • Networked games with multiple coalitions and agents cooperating to minimize costs, while adhering to state value agreement, present a complex challenge.

    Purpose of the Study:

    • To develop a distributed algorithm for seeking Nash equilibrium in multicoalition games with consistency constraints and agreement demands.
    • To address networked games with potentially unbalanced network topologies.

    Main Methods:

    • Constructing agent-specific estimates for cost function partial derivatives and global state values.
    • Designing an iterative state updating law based on these estimates.
    • Demonstrating linear convergence of the proposed algorithm.

    Main Results:

    • The proposed algorithm achieves linear convergence for distributed Nash equilibrium seeking in multicoalition games with agreement demands.
    • The framework unifies consistency-constrained multicoalition games with established networked games and distributed optimization problems.

    Conclusions:

    • The developed algorithm offers a unified approach to various distributed optimization and game theory problems.
    • The method is adaptable and can be reduced to solve simpler, well-studied problems in the field.