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

Method of Sections: Problem Solving II01:30

Method of Sections: Problem Solving II

1.1K
Consider an arbitrary truss structure composed of diagonal, vertical, and horizontal members fixed to the wall. To calculate the force acting on members CB, GB, and GH, method of sections can be used. The loads and lengths of the horizontal and vertical members are known parameters, as shown in the figure.
1.1K
Method of Sections: Problem Solving I01:27

Method of Sections: Problem Solving I

681
Consider a symmetrical roof truss structure, composed of vertical, diagonal, and horizontal members. The length of each horizontal member is 4 m. The lengths of the vertical members FB and HD are 4 m, while the length of member GC is 6 m. The loads acting at joints F, G, and H are 2 kN, while those at joints A and E are 1 kN.
681
Castigliano's Theorem: Problem Solving01:14

Castigliano's Theorem: Problem Solving

743
The deflection of a simply supported beam that carries a central point load can be analyzed using structural mechanics principles, particularly by applying Castigliano's theorem. This theorem relates the displacement at the load application point to the partial derivatives of the strain energy in the structure. The simply supported beam with a point load at its center has symmetric reaction forces at the supports, each bearing half of the load. The bending moment at any point along the beam...
743
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

100
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
100
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

785
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
785
Heuristics01:21

Heuristics

135
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
135

You might also read

Related Articles

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

Sort by
Same author

Icariin alleviates ovariectomy-induced osteoporosis by promoting M2 macrophage polarization and suppressing osteoclast activation.

Cytokine·2026
Same author

An Integrated Study Based on UPLC-QTOF/MS Network Pharmacology and In Vivo Validation of the Anti-Obesity Effects of the 60% Ethanol-Eluted Fraction from <i>Rheum tanguticum</i>.

Plants (Basel, Switzerland)·2026
Same author

[Application of vacuum sealing drainage combined with antibiotic bone cement in Gustilo type â…¢ open ankle fractures].

Zhongguo gu shang = China journal of orthopaedics and traumatology·2026
Same author

A Comprehensive Strategy for Characterizing Metabolites and Metabolic Profile in Rat Urine and Feces Following Oral Administration of Huachansu Tablets Based on UPLC-ESI-QTOF/MS<sup>E</sup>.

Biomedical chromatography : BMC·2026
Same author

Reservoir operation impacts on floodplain wetland inundation and ecologically sensitive areas.

Scientific reports·2026
Same author

Anterior Quadratus Lumborum Block with Liposomal Bupivacaine versus Ropivacaine for Postoperative Recovery in Laparoscopic Colorectal Surgery: A Randomized Controlled Trial.

Drug design, development and therapy·2026

Related Experiment Video

Updated: Aug 29, 2025

Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication
03:53

Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication

Published on: November 17, 2023

1.2K

NuSC: An Effective Local Search Algorithm for Solving the Set Covering Problem.

Chuan Luo, Wenqian Xing, Shaowei Cai

    IEEE Transactions on Cybernetics
    |September 5, 2022
    PubMed
    Summary
    This summary is machine-generated.

    A new local search algorithm, NuSC, effectively solves large-scale set covering problems (SCP). NuSC outperforms competitors by combining novel scoring, dynamic weighting, and tabu search strategies.

    More Related Videos

    Setting Limits on Supersymmetry Using Simplified Models
    07:46

    Setting Limits on Supersymmetry Using Simplified Models

    Published on: November 15, 2013

    8.6K
    A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes
    09:10

    A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes

    Published on: March 1, 2022

    2.6K

    Related Experiment Videos

    Last Updated: Aug 29, 2025

    Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication
    03:53

    Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication

    Published on: November 17, 2023

    1.2K
    Setting Limits on Supersymmetry Using Simplified Models
    07:46

    Setting Limits on Supersymmetry Using Simplified Models

    Published on: November 15, 2013

    8.6K
    A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes
    09:10

    A Highly Scalable Approach to Perform Ecological Surveys of Selfing Caenorhabditis Nematodes

    Published on: March 1, 2022

    2.6K

    Area of Science:

    • Computer Science
    • Operations Research

    Background:

    • The set covering problem (SCP) is a critical NP-hard problem with widespread real-world applications.
    • Large-scale SCP instances necessitate efficient heuristic algorithms, particularly local search methods.
    • Existing research on local search algorithms for SCP is limited.

    Purpose of the Study:

    • To introduce NuSC, a novel local search algorithm designed for solving the set covering problem.
    • To enhance SCP solution optimization through an innovative combined scoring function for subset selection.
    • To improve the practical performance of local search algorithms for SCP.

    Main Methods:

    • Development of NuSC, a new local search algorithm for SCP.
    • Implementation of a combined scoring function integrating diverse subset properties.
    • Incorporation of dynamic element weighting, tabu search, and novelty selection mechanisms.
    • Extensive experimental evaluation against state-of-the-art competitors on various SCP instances.

    Main Results:

    • NuSC demonstrated significant performance improvements over existing algorithms on most SCP instances.
    • Empirical evaluations validated the effectiveness of individual techniques within the NuSC algorithm.
    • The combined scoring function proved crucial for finding more optimized solutions.

    Conclusions:

    • NuSC represents a superior approach for solving large-scale set covering problems.
    • The integrated algorithmic techniques contribute to NuSC's enhanced effectiveness and robustness.
    • Further research can build upon NuSC's novel components for advancing SCP heuristics.