MATHEMATICAL MODELING AND ITS APPLICATION

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MATHEMATICAL MODELING AND ITS APPLICATION : 

MATHEMATICAL MODELING AND ITS APPLICATION By Manish Nandi Assistant Professor

Introduction: : 

Introduction: A natural question which must have arisen in our mind is “What is Mathematical Modeling?” Mathematical Modeling consists of simplifying Real World problems and representing them as Mathematical problems(Mathematical Model), solving the mathematical problems and interpreting these solutions in language of the Real World. In simple form- Conversion of Real World phenomena under certain conditions into Mathematical formulation is known as Mathematical Modeling.

Introduction cond…… : 

Introduction cond…… Performing experiments to understand & solve Real World problems may be risks & expensive. Mathematical Modeling is the only recourse in such situation. The use of mathematics in solving Real World problems has become widespread especially due to the increasing computation power of digital computer and computing methods both of which have facilitated the handling of length and complicated problems.

Introduction cond……. : 

Introduction cond……. Mathematical Models are basically of two kinds……… (i) Empirical Models & (ii) Theoretical Models. Experiments (i) Empirical Models Observation Mathematical (ii) Theoretical Models Statistical Computer based

Introduction cond…….. : 

Introduction cond…….. The importance of Mathematical Modeling as a discipline to be studied and cultivated, has been realised only during the last three or four decades.

Three Main Steps:We can divide the Modeling process into three main steps. : 

Three Main Steps:We can divide the Modeling process into three main steps. Modeling Formulation Solution Evaluation Stating the Identifying Mathematical Question Relevant Factor Description

Mathematical Model follows the process: : 

Mathematical Model follows the process: Start Formulation Solution Evaluation No Yes Satisfied Stop

Why 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.

A list of applications : 

A list of applications All areas mentioned have numerous mathematical challenges Anthropology Modeling, classifying and reconstructing skulls Archaeology Reconstruction of objects from preserved fragments Classifying ancient artifices Architecture Virtual reality Artificial intelligence Computer vision Image interpretation Robotics Speech recognition Optical character recognition Reasoning under uncertainty

Application Cond……… : 

Application Cond……… Arts Computer animation (Jurassic Park) Astronomy Detection of planetary systems Correcting the Hubble telescope Origin of the universe Evolution of stars Biology Protein folding Humane genome project Population dynamics Morphogenesis Evolutionary pedigrees Spreading of infectious diseases (AIDS) Animal and plant breeding (genetic variability)

Application Cond…. : 

Application Cond…. Chemical engineering Chemical equilibrium Planning of production units Chemistry Chemical reaction dynamics Molecular modeling Electronic structure calculations Computer science Image processing Realistic computer graphics (ray tracing) Criminalistic science Finger print recognition Face recognition

Application Cond……. : 

Application Cond……. Economics Labour data analysis Electrical engineering Stability of electric curcuits Microchip analysis Power supply network optimization Finance Risk analysis Value estimation of options Fluid mechanics Wind channel Turbulence

Application Cond……. : 

Application Cond……. Geosciences Prediction of oil or ore deposits Map production Earth quake prediction Internet Web search Optimal routing Linguistics Automatic translation

Application Cond…… : 

Application Cond…… Materials Science Microchip production Microstructures Semiconductor modeling Mechanical engineering Stability of structures (high rise buildings, bridges, air planes) Structural optimization Crash simulation Medicine Radiation therapy planning Computer-aided tomography Blood circulation models

Application Cond….. : 

Application Cond….. Meteorology Weather prediction Climate prediction (global warming, what caused the ozone hole?) Music Analysis and synthesis of sounds Neuroscience Neural networks Signal transmission in nerves Pharmacology Docking of molecules to proteins Screening of new compounds

Application Cond……. : 

Application Cond……. Political Sciences Analysis of elections Psychology Formalizing diaries of therapy sessions Space Sciences Trajectory planning Flight simulation Shuttle re entry Transport Science Air traffic scheduling Taxi for handicapped people Automatic pilot for cars and airplanes

Also… : 

Also… Mathematical Model of Urban & regional planning Population Environmental Water Resources Optimal utilization of exhaustible & renewable resources Land distribution Forestry and so on.

Types of Modeling : 

Types of Modeling Linear or Non-linear. Static or Dynamic. Discrete or Continuous. Deterministic or Probabilistic.

Some Example of Mathematical Models : 

Some Example of Mathematical Models Find the mass of the Earth (without using a balance). Find the temperature at the centre of the Sun (without taking a thermometer there). Find the volume of blood inside the body of a person (without bleeding the person to death). Estimate the population of India in the year 2050 AD (without waiting till than). Estimate the total expenditure for an owner to run his Rubber garden in the next five year (without waiting).

THANK YOU : 

THANK YOU