Multivariable calculus | Lecture 1 | Optimization | Maxima | Minima | Hessian matrix | Lagrangian
Multi-variable calculus: Jacobian (determinant): Change of variables in double & triple integration
Multi-variable calculus: Jacobian: Change of variables in spherical coordinate transformation
Beyond the boundaries: The Gaussian integral: Definite Integration of e^-x^2
Proving the relation between Gamma and Beta function (Method 2) using double integrals
Multivariable Calculus(Optimization) : Lecture 1: Maxima, Minima & Saddle points U=x-2x^2+xy+40y-y^2
Multivariable Calculus(Optimization) : Example 2: Maxima, Minima & Saddle points xy^2-2x^2y+3xy+4
Multivariable Calculus : Ex 3: Sum of three positive number is 100, find maximum value of product
Multivariable Calculus Lecture 2 (Optimization) Proof : Logic behind second derivative test AB-C^2
Multivariable Calculus: Lecture 3 Hessian Matrix : Optimization for a three variable function
Multivariable Calculus: Lecture 4: Boundary curves and Absolute maxima and minima
Multivariable Calculus: Absolute maxima/minima Example 2: f(x,y)=xy-3x on the region with x^2=y=9
Estimation of parameters in simple linear regression model using ordinary least square (OLS) proof
Lagrangian method | L1 | Multivariable calculus | Microeconomics | Optimization | Cost minimization
Lagrangian method | L2 | Multivariable calculus | Microeconomics | Optimization | Utility function