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W9.1 Lecture Intro to Transportation problem
zuraida abal abas
234 подписчика
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113 видео с канала:
zuraida abal abas
W9.1 Lecture Intro to Transportation problem
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W14.2 Example for Heun’s method.
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W14.1 Example for Euler’s method.
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W11.3 Decision analysis - drawing graphical display of expected payoff vs prior probability
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W13.5 Project Scheduling PERT CPM pt 5
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W13.3 Project Scheduling PERT CPM pt 3
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W13.4 Project Scheduling PERT CPM pt 4
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W13.1 Project Scheduling PERT CPM pt 1
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W13.2 Project Scheduling PERT CPM pt 2
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W12.5 Multiple application of Simpson’s 3/8 rule.
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W12.4 Simpson’s 3/8 Rule
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W13.4 Approximation for second order differentiation
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W13.3 Numerical differentiation using Backward Difference Approximation
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W11.1 Introduction to Decision Analysis pt 1
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W11.2 Introduction to Decision Analysis pt 2
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W11.6 Newton’s Interpolating Polynomial pt 3 - third order / cubic
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W11.5 Newton’s Interpolating Polynomials pt 2 - Second order/ quadratic
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W11.4 Newton’s Interpolating Polynomials pt 1 - First order/Linear
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W8.2 Simplex Method pt 2
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W8.3 Simplex Method pt3
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W8.1 Simplex Method pt 1
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W6.1 Applications of Integration
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W5.2 Infinite Integration
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W5.5 Technique of Integration - by parts
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W5.4 Technique of Integration - by substitution
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W5.1 Introduction to Integration
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W5.3 Improper Integration
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W8 Simple Linear Regression - manual calculation
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W4.10 Derivatives pt10
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W4.8 Derivative pt8
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W4.9 Derivatives pt9
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W4.7 Derivative pt7
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W4.6 Derivatives pt6
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W4.5 Derivatives pt5
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W4.4 Derivatives pt4
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W4.3 Derivatives pt3
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W4.1 Derivatives pt1
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W4.2 Derivatives pt2
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MITI 5213 W5 Session 2 20210402 155520 Meeting Recording - Linear Lagrange Interpolation
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W3.9 Limit 2
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W3.10 Limit 10
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W3.8 Limit 8
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W3.7 Limit 7
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W3.6 Limit 6
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W3.6 Limit 5
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W3.3 Limit 3
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W3.2 Limit 2
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W3.4 Limit 4
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W3.1 Limit 1
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W2.2 Log Function
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W2.1 Exponential function
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W1.7 Inverse of Function
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W1.6 Composite Function
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W1.5 Algebra of functions
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W1.4 Transformation of function - vertical and horizontal reflecting and stretching
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W1.3 Transformation of Functions - shift vertical and vertical
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W1.2 Type of Functions
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W1.1 Intro to Functions
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W13.2 Numerical differentiation using Centered Difference Approximation
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W13.1 Numerical Differentiation using Forward Difference Approximation
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12.3 Simpson’s 1/3 Rule
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12.2 Error for Trapezoidal Rule
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12.1 Trapezoidal Rule
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W5.2 Types of Demand Forecasting
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W5.1 Demand forecasting
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W11.3 Example for Second order Lagrange Interpolating Polynomials
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W11.2 Example for First Order Lagrange Interpolating Polynomials
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W11.1 Introduction to Lagrange Interpolating Polynomials
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W2.4 Cross Price Elasticity
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W2.3 Own price elasticity
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W2.2 Type of Price Elasticity
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W2.1 Introduction to Price Elasticity
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W1.3 Introduction to Customer Analytics pt 3
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W1.2 Introduction to Customer Analytics pt 2
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W1.1 Introduction to Customer Analytics pt 1
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W10.1 Root finding using Bisection method
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W10.2 Root finding using Newton Rhapson
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W9.1 Taylor polynomial pt2
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W9.1 Taylor polynomial pt1
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W7.1 Significant Numbers, Accuracy, Precision and Error
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W5.2 Example Eigen Values and Eigen Vectors pt2
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W5 1 Example Eigen Values and Eigen Vectors pt1
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W4.9 Example - vector cross product and area of parallelogram
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W4.8 Vector Cross Product
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W4.7 Example - dot product and angle between vectors
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W4.6 Angle between vectors and dot product
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W4.5 Example - Magnitude of a vector and unit vector
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W4.4 Magnitude and unit vector
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W4.3 Examples - vector addition, substraction and scalar multiplication
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W4.2 Vector addition, substraction and multiplication
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W4.1 Introduction to vector
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W3.2.6 Solving system of linear equation using gauss elimination pt.6
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W3.2.5 Solving system of linear equation using gauss elimination pt.5
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W3.2.4 Solving system of linear equation using gauss elimination pt.4
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W3.2.3 Solving system of linear equation using gauss elimination pt.3
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W.3.2.2 Solving System of linear equation using gauss elimination pt. 2
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W3.2.1 solving sistem of linear equation using gauss elimination
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W3.1 Elementary row operation (ERO)
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w2.4. Example of Inverse Matrix using Adjoint A
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w2.3. Inverse formula using Adjoint A
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w2.2. Example Adjoint A
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w2.1. What is Adjoint Matrix
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11. Determinant using cofactor expansion
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10 Determinant Minor and Cofactor part 2
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9 Determinant Minor and Cofactor part 1
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8 Determinant of Matrix 2x2
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7. Symmetric Matrix
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6. Transpose Matrix
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5 Matrix multiplication
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4. Scalar multiplication for matrix
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3. Matrix Addition and substraction
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2. Equal matrix
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1 What is Matrix
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Канал: zuraida abal abas
W9.1 Lecture Intro to Transportation problem
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W14.2 Example for Heun’s method.
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W14.1 Example for Euler’s method.
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W11.3 Decision analysis - drawing graphical display of expected payoff vs prior probability
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W13.5 Project Scheduling PERT CPM pt 5
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W13.3 Project Scheduling PERT CPM pt 3
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W13.4 Project Scheduling PERT CPM pt 4
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W13.1 Project Scheduling PERT CPM pt 1
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W13.2 Project Scheduling PERT CPM pt 2
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W12.5 Multiple application of Simpson’s 3/8 rule.
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W12.4 Simpson’s 3/8 Rule
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W13.4 Approximation for second order differentiation
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W13.3 Numerical differentiation using Backward Difference Approximation
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W11.1 Introduction to Decision Analysis pt 1
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W11.2 Introduction to Decision Analysis pt 2
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W11.6 Newton’s Interpolating Polynomial pt 3 - third order / cubic
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W11.5 Newton’s Interpolating Polynomials pt 2 - Second order/ quadratic
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W11.4 Newton’s Interpolating Polynomials pt 1 - First order/Linear
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W8.2 Simplex Method pt 2
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W8.3 Simplex Method pt3
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W8.1 Simplex Method pt 1
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W6.1 Applications of Integration
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W5.2 Infinite Integration
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W5.5 Technique of Integration - by parts
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W5.4 Technique of Integration - by substitution
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W5.1 Introduction to Integration
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W5.3 Improper Integration
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W8 Simple Linear Regression - manual calculation
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W4.10 Derivatives pt10
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W4.8 Derivative pt8
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W4.9 Derivatives pt9
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W4.7 Derivative pt7
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W4.6 Derivatives pt6
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W4.5 Derivatives pt5
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W4.4 Derivatives pt4
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W4.3 Derivatives pt3
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W4.1 Derivatives pt1
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W4.2 Derivatives pt2
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MITI 5213 W5 Session 2 20210402 155520 Meeting Recording - Linear Lagrange Interpolation
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W3.9 Limit 2
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W3.10 Limit 10
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W3.8 Limit 8
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W3.7 Limit 7
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W3.6 Limit 6
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W3.6 Limit 5
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W3.3 Limit 3
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W3.2 Limit 2
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W3.4 Limit 4
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W3.1 Limit 1
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W2.2 Log Function
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W2.1 Exponential function
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W1.7 Inverse of Function
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W1.6 Composite Function
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W1.5 Algebra of functions
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W1.4 Transformation of function - vertical and horizontal reflecting and stretching
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W1.3 Transformation of Functions - shift vertical and vertical
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W1.2 Type of Functions
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W1.1 Intro to Functions
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W13.2 Numerical differentiation using Centered Difference Approximation
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W13.1 Numerical Differentiation using Forward Difference Approximation
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12.3 Simpson’s 1/3 Rule
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12.2 Error for Trapezoidal Rule
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12.1 Trapezoidal Rule
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W5.2 Types of Demand Forecasting
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W5.1 Demand forecasting
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W11.3 Example for Second order Lagrange Interpolating Polynomials
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W11.2 Example for First Order Lagrange Interpolating Polynomials
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W11.1 Introduction to Lagrange Interpolating Polynomials
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W2.4 Cross Price Elasticity
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W2.3 Own price elasticity
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W2.2 Type of Price Elasticity
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W2.1 Introduction to Price Elasticity
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W1.3 Introduction to Customer Analytics pt 3
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W1.2 Introduction to Customer Analytics pt 2
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W1.1 Introduction to Customer Analytics pt 1
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W10.1 Root finding using Bisection method
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W10.2 Root finding using Newton Rhapson
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W9.1 Taylor polynomial pt2
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W9.1 Taylor polynomial pt1
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W7.1 Significant Numbers, Accuracy, Precision and Error
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W5.2 Example Eigen Values and Eigen Vectors pt2
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W5 1 Example Eigen Values and Eigen Vectors pt1
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W4.9 Example - vector cross product and area of parallelogram
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W4.8 Vector Cross Product
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W4.7 Example - dot product and angle between vectors
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W4.6 Angle between vectors and dot product
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W4.5 Example - Magnitude of a vector and unit vector
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W4.4 Magnitude and unit vector
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W4.3 Examples - vector addition, substraction and scalar multiplication
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W4.2 Vector addition, substraction and multiplication
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W4.1 Introduction to vector
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W3.2.6 Solving system of linear equation using gauss elimination pt.6
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W3.2.5 Solving system of linear equation using gauss elimination pt.5
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W3.2.4 Solving system of linear equation using gauss elimination pt.4
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W3.2.3 Solving system of linear equation using gauss elimination pt.3
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W.3.2.2 Solving System of linear equation using gauss elimination pt. 2
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W3.2.1 solving sistem of linear equation using gauss elimination
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W3.1 Elementary row operation (ERO)
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w2.4. Example of Inverse Matrix using Adjoint A
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w2.3. Inverse formula using Adjoint A
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w2.2. Example Adjoint A
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w2.1. What is Adjoint Matrix
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11. Determinant using cofactor expansion
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10 Determinant Minor and Cofactor part 2
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9 Determinant Minor and Cofactor part 1
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8 Determinant of Matrix 2x2
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7. Symmetric Matrix
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6. Transpose Matrix
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5 Matrix multiplication
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4. Scalar multiplication for matrix
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3. Matrix Addition and substraction
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2. Equal matrix
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1 What is Matrix
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