SlideShare uma empresa Scribd logo
1 de 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.

Mais conteúdo relacionado

Mais procurados

Deterministic vs stochastic
Deterministic vs stochasticDeterministic vs stochastic
Deterministic vs stochasticsohail40
 
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
 
An Introduction to Mathematical Modelling
An Introduction to Mathematical ModellingAn Introduction to Mathematical Modelling
An Introduction to Mathematical ModellingHeni Widayani
 
Fractional calculus and applications
Fractional calculus and applicationsFractional calculus and applications
Fractional calculus and applicationsPlusOrMinusZero
 
Laplace transform
Laplace  transform   Laplace  transform
Laplace transform 001Abhishek1
 
application of complex numbers
application of complex numbersapplication of complex numbers
application of complex numbersKaustubh Garud
 
Linear Algebra presentation.pptx
Linear Algebra presentation.pptxLinear Algebra presentation.pptx
Linear Algebra presentation.pptxProveedorIptvEspaa
 
Numerical methods and its applications
Numerical methods and its applicationsNumerical methods and its applications
Numerical methods and its applicationsHaiderParekh1
 
ForecastIT 3. Simple Exponential Smoothing
ForecastIT 3. Simple Exponential SmoothingForecastIT 3. Simple Exponential Smoothing
ForecastIT 3. Simple Exponential SmoothingDeepThought, Inc.
 
Fractional Calculus PP
Fractional Calculus PPFractional Calculus PP
Fractional Calculus PPVRRITC
 
FIRST ORDER DIFFERENTIAL EQUATION
 FIRST ORDER DIFFERENTIAL EQUATION FIRST ORDER DIFFERENTIAL EQUATION
FIRST ORDER DIFFERENTIAL EQUATIONAYESHA JAVED
 
Applications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First DegreeApplications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First DegreeDheirya Joshi
 
Laplace transforms
Laplace transforms Laplace transforms
Laplace transforms yash patel
 
system linear equations and matrices
 system linear equations and matrices system linear equations and matrices
system linear equations and matricesAditya Vaishampayan
 
Linear functions and modeling
Linear functions and modelingLinear functions and modeling
Linear functions and modelingIVY SOLIS
 

Mais procurados (20)

Deterministic vs stochastic
Deterministic vs stochasticDeterministic vs stochastic
Deterministic vs stochastic
 
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
 
Types of models
Types of modelsTypes of models
Types of models
 
An Introduction to Mathematical Modelling
An Introduction to Mathematical ModellingAn Introduction to Mathematical Modelling
An Introduction to Mathematical Modelling
 
Unit 5: All
Unit 5: AllUnit 5: All
Unit 5: All
 
Fractional calculus and applications
Fractional calculus and applicationsFractional calculus and applications
Fractional calculus and applications
 
Non linear dynamical systems
Non linear dynamical systemsNon linear dynamical systems
Non linear dynamical systems
 
Laplace transform
Laplace  transform   Laplace  transform
Laplace transform
 
application of complex numbers
application of complex numbersapplication of complex numbers
application of complex numbers
 
Linear Algebra presentation.pptx
Linear Algebra presentation.pptxLinear Algebra presentation.pptx
Linear Algebra presentation.pptx
 
Numerical methods and its applications
Numerical methods and its applicationsNumerical methods and its applications
Numerical methods and its applications
 
ForecastIT 3. Simple Exponential Smoothing
ForecastIT 3. Simple Exponential SmoothingForecastIT 3. Simple Exponential Smoothing
ForecastIT 3. Simple Exponential Smoothing
 
Laplace Transforms
Laplace TransformsLaplace Transforms
Laplace Transforms
 
Fractional Calculus PP
Fractional Calculus PPFractional Calculus PP
Fractional Calculus PP
 
FIRST ORDER DIFFERENTIAL EQUATION
 FIRST ORDER DIFFERENTIAL EQUATION FIRST ORDER DIFFERENTIAL EQUATION
FIRST ORDER DIFFERENTIAL EQUATION
 
Applications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First DegreeApplications of Differential Equations of First order and First Degree
Applications of Differential Equations of First order and First Degree
 
Laplace transforms
Laplace transformsLaplace transforms
Laplace transforms
 
Laplace transforms
Laplace transforms Laplace transforms
Laplace transforms
 
system linear equations and matrices
 system linear equations and matrices system linear equations and matrices
system linear equations and matrices
 
Linear functions and modeling
Linear functions and modelingLinear functions and modeling
Linear functions and modeling
 

Destaque

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
 

Destaque (6)

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
 

Semelhante a 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
 

Semelhante a 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
 

Mais de 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
 

Mais de 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
 

Último

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxAmita Gupta
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxRamakrishna Reddy Bijjam
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17Celine George
 
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
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
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
 
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
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Association for Project Management
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 

Último (20)

TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptx
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
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
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
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
 
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
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 

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.