Mathematical Modeling

Why mathematical modeling?

Mathematical modeling is the art of translating problems from an application area into tractable mathematical formulations whose theoretical and numerical analysis provides insight, answers, and guidance useful for the originating application. Mathematical modeling is indispensable in many applications is successful in many further applications gives precision and direction for problem solution enables a thorough understanding of the system modeled prepares the way for better design or control of a system allows the efficient use of modern computing capabilities Learning about mathematical modeling is an important step from a theoretical mathematical training to an application-oriented mathematical expertise, and makes the student fit for mastering the challenges of our modern technological culture.

A list of applications

In the following, I give a list of applications whose modeling I understand, at least in some detail. All areas mentioned have numerous mathematical challenges. This list is based on my own experience; therefore it is very incomplete as a list of applications of mathematics in general. There are an almost endless number of other areas with interesting mathematical problems. Indeed, mathematics is simply the language for posing problems precisely and unambiguously (so that even a stupid, pedantic computer can understand it). Anthropology
  • Modeling, classifying and reconstructing skulls
  • Reconstruction of objects from preserved fragments
  • Classifying ancient artifices
  • Virtual reality
Artificial intelligence
  • Computer vision
  • Image interpretation
  • Robotics
  • Speech recognition
  • Optical character recognition
  • Reasoning under uncertainty
  • Computer animation (Jurassic Park)
  • Detection of planetary systems
  • Correcting the Hubble telescope
  • Origin of the universe
  • Evolution of stars
  • Protein folding
  • Humane genome project
  • Population dynamics
  • Morphogenesis
  • Evolutionary pedigrees
  • Spreading of infectious diseases (AIDS)
  • Animal and plant breeding (genetic variability)
Chemical engineering
  • Chemical equilibrium
  • Planning of production units
  • Chemical reaction dynamics
  • Molecular modeling
  • Electronic structure calculations
Computer science
  • Image processing
  • Realistic computer graphics (ray tracing)
Criminalistic science
  • Finger print recognition
  • Face recognition
  • Labor data analysis
Electrical engineering
  • Stability of electric curcuits
  • Microchip analysis
  • Power supply network optimization
  • Risk analysis
  • Value estimation of options
Fluid mechanics
  • Wind channel
  • Turbulence
  • Prediction of oil or ore deposits
  • Map production
  • Earth quake prediction
  • Web search
  • Optimal routing
  • Automatic translation
Materials Science
  • Microchip production
  • Microstructures
  • Semiconductor modeling
Mechanical engineering
  • Stability of structures (high rise buildings, bridges, air planes)
  • Structural optimization
  • Crash simulation
  • Radiation therapy planning
  • Computer-aided tomography
  • Blood circulation models
  • Weather prediction
  • Climate prediction (global warming, what caused the ozone hole?)
  • Analysis and synthesis of sounds
  • Neural networks
  • Signal transmission in nerves
  • Docking of molecules to proteins
  • Screening of new compounds
  • Elementary particle tracking
  • Quantum field theory predictions (baryon spectrum)
  • Laser dynamics
Political Sciences
  • Analysis of elections
  • Formalizing diaries of therapy sessions
Space Sciences
  • Trajectory planning
  • Flight simulation
  • Shuttle reentry
Transport Science
  • Air traffic scheduling
  • Taxi for handicapped people
  • Automatic pilot for cars and airplanes
error: Content is protected !!