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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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...
Lagrange Multipliers: Two Constraints01:28

Lagrange Multipliers: Two Constraints

The method of Lagrange multipliers with two constraints is used to optimize a function subject to two independent constraints. In many applications, the objective function represents a quantity to be maximized or minimized, such as cost, area, distance, or energy. The two constraints represent requirements that the solution must satisfy, such as fixed volume, limited resources, or prescribed dimensions.For a function of three variables, each constraint forms a surface in three-dimensional space.
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Lagrange Multipliers: Problem Solving01:30

Lagrange Multipliers: Problem Solving

A silo with a cylindrical base, flat bottom, and hemispherical roof is a common design in agricultural and industrial storage due to its structural efficiency and ease of construction. Optimizing its dimensions to maximize storage capacity for a given amount of material—i.e., a fixed surface area—is a classic problem in applied calculus and engineering design. The key parameters are the radius r of the base and the height h of the cylindrical section.The total volume of the silo is obtained by...

You might also read

Related Articles

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

Sort by
Same author

Foreign Accent Syndrome Caused by a Right Frontotemporal Meningioma: A Case Report.

The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses·2025
Same author

A Low-Cost Sensor Network for Monitoring Peatland.

Sensors (Basel, Switzerland)·2024
Same author

Formation of the Atlantic Meridional Overturning Circulation lower limb is critically dependent on Atlantic-Arctic mixing.

Nature communications·2024
Same author

Reply to Gobert et al.: The need for more research to understand changes in new pelagic sargassum ecosystem during its advection.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Changes in holopelagic <i>Sargassum</i> spp. biomass composition across an unusual year.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Calibration of a Low-Cost Methane Sensor Using Machine Learning.

Sensors (Basel, Switzerland)·2024
Same journal

Inverse FIP effect plasma in the solar atmosphere: a synthesis of current understanding and new insights from AR 11967.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Signs of sulfur fractionation under high magnetic field strength.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

First ionization potential fractionation of sulfur observed with spectral imaging of the coronal environment.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Chromospheric dynamics and turbulence regulate the solar FIP effect.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Exploring the link between wave activity in the photospheric velocity driver and the FIP bias in the solar corona.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Radiative hydrodynamic simulations of first ionization potential fractionation in solar flares.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Multi-objective optimization of GENIE Earth system models.

Andrew R Price1, Richard J Myerscough, Ivan I Voutchkov

  • 1School of Engineering Sciences, University of Southampton, Highfield, Southampton SO17 1BJ, UK. a.r.price@soton.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|June 3, 2009
PubMed
Summary
This summary is machine-generated.

Optimizing climate model parameters is crucial for accurate Earth system forecasts. This study uses a multi-objective algorithm and grid computing to efficiently estimate these parameters, improving model reliability.

Related Experiment Videos

Last Updated: Jun 22, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

  • Climate Science
  • Computational Science

Background:

  • Accurate long-term climate forecasts depend on precise climate model parameter tuning.
  • Parameter estimation in complex Earth system models is computationally intensive.

Purpose of the Study:

  • To apply a multi-objective optimization algorithm for climate model parameter estimation.
  • To assess the feasibility of using grid computing for efficient parameter tuning.

Main Methods:

  • Utilized a multi-objective optimization algorithm.
  • Employed iterative evaluation of response surface models (RSMs).
  • Leveraged grid computing for high-performance and high-throughput computing.

Main Results:

  • Demonstrated the practicality of the optimization algorithm for parameter estimation.
  • Showcased the essential role of grid computing in managing complex climate model simulations.
  • Facilitated efficient concurrent evaluation of numerous climate models.

Conclusions:

  • Multi-objective optimization combined with grid computing provides a viable approach for climate model parameter tuning.
  • Grid computing infrastructure is vital for advancing Earth system modeling research.