SlideShare ist ein Scribd-Unternehmen logo
1 von 9
A mathematical model is the mathematical
description of a real situation.

In  developing      the     model, some
assumptions are made and we consider
some simplifications of reality.

A model can represent it using:

• Relations

• functions
There are three types of models:

•Linear model: We call
linear models to situations
can be represented by a
linear function. can be
determined graphically or
by means of an equation.
• Quadratic model: We say
  that the model is quadratic
  if we can express by means
  of a quadratic function.

  A quadratic model can be
  determined through an
  equation or by means of a
  graph that made the best
  approximates of the data.
• Exponential model: We call
  exponential     models    to
  situations      that     are
  represented       by      an
  exponential function.
  The exponential models are
  very common in the study
  of population increases, the
  calculation of bank interest,
  so as various physical
  phenomena.
The process for develop a mathematical model is as
following:




                   4.Compare the data obtained as
               predictions with real data. If the data
               are different, the process is restarted.
A single differential equation mathematical
model can be of many different phenomena.
 a mathematical model is formed by an initial
value problem, or also value problem at the
border.
• An analysis of the spread of a contagious flu, for
  example, is reasonable to assume that the rate or
  reason that spreads not only is proportional to the
  number of people, x (t), which have contracted at time
  t, but also the number of subjects, and (t), which have
  not yet been exposed to infection. If the rate is dx / dt,
  then



• Where k is the usual constant of proportionality.
• If, for example, introduces
  an infected person in a
  constant population of n
  people, then x and y are
  related by x + y = n + 1.
  We use this equation to
  eliminate and in equation
  (1) and obtain the model




• An obvious initial condition
  accompanying equation
  (2) is x (0) = 1.

Weitere ähnliche Inhalte

Was ist angesagt?

introduction to Numerical Analysis
introduction to Numerical Analysisintroduction to Numerical Analysis
introduction to Numerical AnalysisGhulam Mehdi Sahito
 
Introduction to Numerical Analysis
Introduction to Numerical AnalysisIntroduction to Numerical Analysis
Introduction to Numerical AnalysisMohammad Tawfik
 
Application of calculus in everyday life
Application of calculus in everyday lifeApplication of calculus in everyday life
Application of calculus in everyday lifeMohamed Ibrahim
 
Numerical methods and its applications
Numerical methods and its applicationsNumerical methods and its applications
Numerical methods and its applicationsHaiderParekh1
 
Deterministic vs stochastic
Deterministic vs stochasticDeterministic vs stochastic
Deterministic vs stochasticsohail40
 
application of numerical method
application of numerical methodapplication of numerical method
application of numerical methodShaikat Saha
 
Real life application of statistics in engineering
Real life application of statistics in engineeringReal life application of statistics in engineering
Real life application of statistics in engineeringJannatulFerdous160
 
Application of Engineering Mathematics
Application of Engineering MathematicsApplication of Engineering Mathematics
Application of Engineering MathematicsSelf employed
 
Applications of differential equations(by Anil.S.Nayak)
Applications of differential equations(by Anil.S.Nayak)Applications of differential equations(by Anil.S.Nayak)
Applications of differential equations(by Anil.S.Nayak)anil7nayak
 
Importance of Numerical Methods in CSE.pptx
Importance of Numerical Methods in CSE.pptxImportance of Numerical Methods in CSE.pptx
Importance of Numerical Methods in CSE.pptxSanad Bhowmik
 
Application of Calculus in Real World
Application of Calculus in Real World Application of Calculus in Real World
Application of Calculus in Real World milanmath
 
Applications of numerical methods
Applications of numerical methodsApplications of numerical methods
Applications of numerical methodsTarun Gehlot
 
Variables in matlab
Variables in matlabVariables in matlab
Variables in matlabTUOS-Sam
 
Some Engg. Applications of Matrices and Partial Derivatives
Some Engg. Applications of Matrices and Partial DerivativesSome Engg. Applications of Matrices and Partial Derivatives
Some Engg. Applications of Matrices and Partial DerivativesSanjaySingh011996
 
Numerical Solution of Ordinary Differential Equations
Numerical Solution of Ordinary Differential EquationsNumerical Solution of Ordinary Differential Equations
Numerical Solution of Ordinary Differential EquationsMeenakshisundaram N
 

Was ist angesagt? (20)

introduction to Numerical Analysis
introduction to Numerical Analysisintroduction to Numerical Analysis
introduction to Numerical Analysis
 
Introduction to Numerical Analysis
Introduction to Numerical AnalysisIntroduction to Numerical Analysis
Introduction to Numerical Analysis
 
Application of calculus in everyday life
Application of calculus in everyday lifeApplication of calculus in everyday life
Application of calculus in everyday life
 
Numerical methods and its applications
Numerical methods and its applicationsNumerical methods and its applications
Numerical methods and its applications
 
Deterministic vs stochastic
Deterministic vs stochasticDeterministic vs stochastic
Deterministic vs stochastic
 
application of numerical method
application of numerical methodapplication of numerical method
application of numerical method
 
Real life application of statistics in engineering
Real life application of statistics in engineeringReal life application of statistics in engineering
Real life application of statistics in engineering
 
Application of Engineering Mathematics
Application of Engineering MathematicsApplication of Engineering Mathematics
Application of Engineering Mathematics
 
Applications of differential equations(by Anil.S.Nayak)
Applications of differential equations(by Anil.S.Nayak)Applications of differential equations(by Anil.S.Nayak)
Applications of differential equations(by Anil.S.Nayak)
 
Importance of Numerical Methods in CSE.pptx
Importance of Numerical Methods in CSE.pptxImportance of Numerical Methods in CSE.pptx
Importance of Numerical Methods in CSE.pptx
 
Application of Calculus in Real World
Application of Calculus in Real World Application of Calculus in Real World
Application of Calculus in Real World
 
APPLICATION OF NUMERICAL METHODS IN SMALL SIZE
APPLICATION OF NUMERICAL METHODS IN SMALL SIZEAPPLICATION OF NUMERICAL METHODS IN SMALL SIZE
APPLICATION OF NUMERICAL METHODS IN SMALL SIZE
 
numerical methods
numerical methodsnumerical methods
numerical methods
 
Applications of numerical methods
Applications of numerical methodsApplications of numerical methods
Applications of numerical methods
 
Numerical methods
Numerical methodsNumerical methods
Numerical methods
 
Engineering mathematics 1
Engineering mathematics 1Engineering mathematics 1
Engineering mathematics 1
 
Variables in matlab
Variables in matlabVariables in matlab
Variables in matlab
 
Some Engg. Applications of Matrices and Partial Derivatives
Some Engg. Applications of Matrices and Partial DerivativesSome Engg. Applications of Matrices and Partial Derivatives
Some Engg. Applications of Matrices and Partial Derivatives
 
Laplace transform
Laplace transformLaplace transform
Laplace transform
 
Numerical Solution of Ordinary Differential Equations
Numerical Solution of Ordinary Differential EquationsNumerical Solution of Ordinary Differential Equations
Numerical Solution of Ordinary Differential Equations
 

Andere mochten auch

Lecture 2 ME 176 2 Mathematical Modeling
Lecture 2 ME 176 2 Mathematical ModelingLecture 2 ME 176 2 Mathematical Modeling
Lecture 2 ME 176 2 Mathematical ModelingLeonides De Ocampo
 
Transfer function and mathematical modeling
Transfer  function  and  mathematical  modelingTransfer  function  and  mathematical  modeling
Transfer function and mathematical modelingvishalgohel12195
 
Lecture 4 ME 176 2 Mathematical Modeling
Lecture 4 ME 176 2 Mathematical ModelingLecture 4 ME 176 2 Mathematical Modeling
Lecture 4 ME 176 2 Mathematical ModelingLeonides De Ocampo
 
Modern Control - Lec 02 - Mathematical Modeling of Systems
Modern Control - Lec 02 - Mathematical Modeling of SystemsModern Control - Lec 02 - Mathematical Modeling of Systems
Modern Control - Lec 02 - Mathematical Modeling of SystemsAmr E. Mohamed
 
Class 10 mathematical modeling of continuous stirred tank reactor systems (...
Class 10   mathematical modeling of continuous stirred tank reactor systems (...Class 10   mathematical modeling of continuous stirred tank reactor systems (...
Class 10 mathematical modeling of continuous stirred tank reactor systems (...Manipal Institute of Technology
 

Andere mochten auch (7)

Lecture 2 ME 176 2 Mathematical Modeling
Lecture 2 ME 176 2 Mathematical ModelingLecture 2 ME 176 2 Mathematical Modeling
Lecture 2 ME 176 2 Mathematical Modeling
 
Transfer function and mathematical modeling
Transfer  function  and  mathematical  modelingTransfer  function  and  mathematical  modeling
Transfer function and mathematical modeling
 
Lecture 4 ME 176 2 Mathematical Modeling
Lecture 4 ME 176 2 Mathematical ModelingLecture 4 ME 176 2 Mathematical Modeling
Lecture 4 ME 176 2 Mathematical Modeling
 
Modern Control - Lec 02 - Mathematical Modeling of Systems
Modern Control - Lec 02 - Mathematical Modeling of SystemsModern Control - Lec 02 - Mathematical Modeling of Systems
Modern Control - Lec 02 - Mathematical Modeling of Systems
 
Class 10 mathematical modeling of continuous stirred tank reactor systems (...
Class 10   mathematical modeling of continuous stirred tank reactor systems (...Class 10   mathematical modeling of continuous stirred tank reactor systems (...
Class 10 mathematical modeling of continuous stirred tank reactor systems (...
 
Class 6 basics of mathematical modeling
Class 6   basics of mathematical modelingClass 6   basics of mathematical modeling
Class 6 basics of mathematical modeling
 
Class 7 mathematical modeling of liquid-level systems
Class 7   mathematical modeling of liquid-level systemsClass 7   mathematical modeling of liquid-level systems
Class 7 mathematical modeling of liquid-level systems
 

Ähnlich wie Mathematical modelling

Statistics and probability pp
Statistics and  probability ppStatistics and  probability pp
Statistics and probability ppRuby Vidal
 
Sampling Distribution and Simulation in R
Sampling Distribution and Simulation in RSampling Distribution and Simulation in R
Sampling Distribution and Simulation in RPremier Publishers
 
Areas In Statistics
Areas In StatisticsAreas In Statistics
Areas In Statisticsguestc94d8c
 
Chapter 2 Simple Linear Regression Model.pptx
Chapter 2 Simple Linear Regression Model.pptxChapter 2 Simple Linear Regression Model.pptx
Chapter 2 Simple Linear Regression Model.pptxaschalew shiferaw
 
Statistical Inference for development statistical model.pptx
Statistical Inference for development statistical model.pptxStatistical Inference for development statistical model.pptx
Statistical Inference for development statistical model.pptxQasimGull
 
Introduction to Statistics and Probability
Introduction to Statistics and ProbabilityIntroduction to Statistics and Probability
Introduction to Statistics and ProbabilityBhavana Singh
 
Biostatistics_descriptive stats.pptx
Biostatistics_descriptive stats.pptxBiostatistics_descriptive stats.pptx
Biostatistics_descriptive stats.pptxMohammedAbdela7
 
Statistik dan Probabilitas Yuni Yamasari 2.pptx
Statistik dan Probabilitas Yuni Yamasari 2.pptxStatistik dan Probabilitas Yuni Yamasari 2.pptx
Statistik dan Probabilitas Yuni Yamasari 2.pptxAisyahLailia
 
statistics - Populations and Samples.pdf
statistics - Populations and Samples.pdfstatistics - Populations and Samples.pdf
statistics - Populations and Samples.pdfkobra22
 
COM 201_Inferential Statistics_18032022.pptx
COM 201_Inferential Statistics_18032022.pptxCOM 201_Inferential Statistics_18032022.pptx
COM 201_Inferential Statistics_18032022.pptxAkinsolaAyomidotun
 
Statistics for Data Analytics
Statistics for Data AnalyticsStatistics for Data Analytics
Statistics for Data AnalyticsSSaudia
 
IDS-Unit-II. bachelor of computer applicatio notes
IDS-Unit-II. bachelor of computer applicatio notesIDS-Unit-II. bachelor of computer applicatio notes
IDS-Unit-II. bachelor of computer applicatio notesAnkurTiwari813070
 
Master of Computer Application (MCA) – Semester 4 MC0079
Master of Computer Application (MCA) – Semester 4  MC0079Master of Computer Application (MCA) – Semester 4  MC0079
Master of Computer Application (MCA) – Semester 4 MC0079Aravind NC
 

Ähnlich wie Mathematical modelling (20)

Statistics and probability pp
Statistics and  probability ppStatistics and  probability pp
Statistics and probability pp
 
Sampling Distribution and Simulation in R
Sampling Distribution and Simulation in RSampling Distribution and Simulation in R
Sampling Distribution and Simulation in R
 
Areas In Statistics
Areas In StatisticsAreas In Statistics
Areas In Statistics
 
Statistics and data analysis
Statistics  and data analysisStatistics  and data analysis
Statistics and data analysis
 
Chapter 2 Simple Linear Regression Model.pptx
Chapter 2 Simple Linear Regression Model.pptxChapter 2 Simple Linear Regression Model.pptx
Chapter 2 Simple Linear Regression Model.pptx
 
Statistical Inference for development statistical model.pptx
Statistical Inference for development statistical model.pptxStatistical Inference for development statistical model.pptx
Statistical Inference for development statistical model.pptx
 
Lehmann 1990
Lehmann 1990Lehmann 1990
Lehmann 1990
 
Data science
Data scienceData science
Data science
 
Introduction to Statistics and Probability
Introduction to Statistics and ProbabilityIntroduction to Statistics and Probability
Introduction to Statistics and Probability
 
Glm
GlmGlm
Glm
 
Biostatistics_descriptive stats.pptx
Biostatistics_descriptive stats.pptxBiostatistics_descriptive stats.pptx
Biostatistics_descriptive stats.pptx
 
Statistik dan Probabilitas Yuni Yamasari 2.pptx
Statistik dan Probabilitas Yuni Yamasari 2.pptxStatistik dan Probabilitas Yuni Yamasari 2.pptx
Statistik dan Probabilitas Yuni Yamasari 2.pptx
 
statistics - Populations and Samples.pdf
statistics - Populations and Samples.pdfstatistics - Populations and Samples.pdf
statistics - Populations and Samples.pdf
 
COM 201_Inferential Statistics_18032022.pptx
COM 201_Inferential Statistics_18032022.pptxCOM 201_Inferential Statistics_18032022.pptx
COM 201_Inferential Statistics_18032022.pptx
 
Statistics for Data Analytics
Statistics for Data AnalyticsStatistics for Data Analytics
Statistics for Data Analytics
 
Statistics
StatisticsStatistics
Statistics
 
IDS-Unit-II. bachelor of computer applicatio notes
IDS-Unit-II. bachelor of computer applicatio notesIDS-Unit-II. bachelor of computer applicatio notes
IDS-Unit-II. bachelor of computer applicatio notes
 
Master of Computer Application (MCA) – Semester 4 MC0079
Master of Computer Application (MCA) – Semester 4  MC0079Master of Computer Application (MCA) – Semester 4  MC0079
Master of Computer Application (MCA) – Semester 4 MC0079
 
3 es timation-of_parameters[1]
3 es timation-of_parameters[1]3 es timation-of_parameters[1]
3 es timation-of_parameters[1]
 
MModule 1 ppt.pptx
MModule 1 ppt.pptxMModule 1 ppt.pptx
MModule 1 ppt.pptx
 

Mehr von Sadia Zareen

Endangered and Threatened Plants and Animals
Endangered and Threatened Plants and AnimalsEndangered and Threatened Plants and Animals
Endangered and Threatened Plants and AnimalsSadia Zareen
 
The giving hand is better
The giving hand is betterThe giving hand is better
The giving hand is betterSadia Zareen
 
Inspirational slides
Inspirational slidesInspirational slides
Inspirational slidesSadia Zareen
 
Heart of gratitude
Heart of gratitudeHeart of gratitude
Heart of gratitudeSadia Zareen
 
5 richest people in the world
5 richest people in the world5 richest people in the world
5 richest people in the worldSadia Zareen
 
Sildes on different topics
Sildes on different topicsSildes on different topics
Sildes on different topicsSadia Zareen
 
Trigonometry in-3 d
Trigonometry in-3 dTrigonometry in-3 d
Trigonometry in-3 dSadia Zareen
 
Square roots and cube roots
Square roots and cube rootsSquare roots and cube roots
Square roots and cube rootsSadia Zareen
 
Permutation and combination
Permutation and combinationPermutation and combination
Permutation and combinationSadia Zareen
 
Coordinate geometry
Coordinate geometryCoordinate geometry
Coordinate geometrySadia Zareen
 
Amazing water therapy
Amazing water therapyAmazing water therapy
Amazing water therapySadia Zareen
 
Generations of computers
Generations of computersGenerations of computers
Generations of computersSadia Zareen
 

Mehr von Sadia Zareen (20)

Endangered and Threatened Plants and Animals
Endangered and Threatened Plants and AnimalsEndangered and Threatened Plants and Animals
Endangered and Threatened Plants and Animals
 
The giving hand is better
The giving hand is betterThe giving hand is better
The giving hand is better
 
Inspirational slides
Inspirational slidesInspirational slides
Inspirational slides
 
Heart of gratitude
Heart of gratitudeHeart of gratitude
Heart of gratitude
 
5 richest people in the world
5 richest people in the world5 richest people in the world
5 richest people in the world
 
Good quotes
Good quotesGood quotes
Good quotes
 
The signs of life
The signs of lifeThe signs of life
The signs of life
 
Computer networks
Computer networksComputer networks
Computer networks
 
Sildes on different topics
Sildes on different topicsSildes on different topics
Sildes on different topics
 
Geometry
GeometryGeometry
Geometry
 
Sudoku
SudokuSudoku
Sudoku
 
Trigonometry in-3 d
Trigonometry in-3 dTrigonometry in-3 d
Trigonometry in-3 d
 
Sudoku puzzles
Sudoku puzzlesSudoku puzzles
Sudoku puzzles
 
Square roots and cube roots
Square roots and cube rootsSquare roots and cube roots
Square roots and cube roots
 
Permutation and combination
Permutation and combinationPermutation and combination
Permutation and combination
 
Coordinate geometry
Coordinate geometryCoordinate geometry
Coordinate geometry
 
Ms word
Ms  wordMs  word
Ms word
 
Allah
AllahAllah
Allah
 
Amazing water therapy
Amazing water therapyAmazing water therapy
Amazing water therapy
 
Generations of computers
Generations of computersGenerations of computers
Generations of computers
 

Kürzlich hochgeladen

Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxnegromaestrong
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingTeacherCyreneCayanan
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...KokoStevan
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 

Kürzlich hochgeladen (20)

Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 

Mathematical modelling

  • 1.
  • 2. A mathematical model is the mathematical description of a real situation. In developing the model, some assumptions are made and we consider some simplifications of reality. A model can represent it using: • Relations • functions
  • 3. There are three types of models: •Linear model: We call linear models to situations can be represented by a linear function. can be determined graphically or by means of an equation.
  • 4. • Quadratic model: We say that the model is quadratic if we can express by means of a quadratic function. A quadratic model can be determined through an equation or by means of a graph that made the best approximates of the data.
  • 5. • Exponential model: We call exponential models to situations that are represented by an exponential function. The exponential models are very common in the study of population increases, the calculation of bank interest, so as various physical phenomena.
  • 6. The process for develop a mathematical model is as following: 4.Compare the data obtained as predictions with real data. If the data are different, the process is restarted.
  • 7. A single differential equation mathematical model can be of many different phenomena. a mathematical model is formed by an initial value problem, or also value problem at the border.
  • 8. • An analysis of the spread of a contagious flu, for example, is reasonable to assume that the rate or reason that spreads not only is proportional to the number of people, x (t), which have contracted at time t, but also the number of subjects, and (t), which have not yet been exposed to infection. If the rate is dx / dt, then • Where k is the usual constant of proportionality.
  • 9. • If, for example, introduces an infected person in a constant population of n people, then x and y are related by x + y = n + 1. We use this equation to eliminate and in equation (1) and obtain the model • An obvious initial condition accompanying equation (2) is x (0) = 1.