• First and Second Order Differentiation
  05:00
• Application on Simple PD
  05:00
• Differentiation: keeping variable constant
  05:00
• Euler's Theorem
  05:00
• Numericals on Euler's Theorem
  05:00
• Numericals on Euler's Theorem
  05:00
• Continuous Function
  05:00
• Differentiable Function
  05:50
• Successive Differentiation
  05:00
• Leibnitz Theorem
  05:00
• Curve Tracing: Cartesian Curves
  11:06
• Jacobian
  05:00
• Application of Jacobian on Implicit Functions
  05:00
• Errors and Approximation
  05:00
• Application of Error and Approximation
  05:00
• Maxima and Minima
  07:26
• Numerical on Maxima and Minima
  05:00
• Method of Lagaragninan Multipliers
  05:33
• Taylor's Theorem for Function of Two Variable
  05:00
• Introduction to Matrices and Determinants
  05:26
• Minors and Cofactors of Determinant
  03:39
• Types of Matrices
  07:02
• Matrix Algebra
  09:13
• Some Special Matrices
  05:00
• Adjoint of a Matrix
  05:00
• Elementary Row/Column Transformation
  05:00
• Rank of the Matrix
  05:00
• Homogeneous & Non Homogeneous Equations
  06:23
• Inverse of the Matrix
  05:00
• Gauss Jordan Method
  05:00
• Partition Method of Finding the Inverse
  02:44
• Matrix Method(non)
  05:26
• Cramer's Rule(homog.)
  05:26
• Linear Dependence of Vectors
  05:00
• Characteristic Equation
  05:00
• Eigen Values and Eigen Vectors
  05:18
• Caley-Hamilton Theorem
  05:00
• Complex Matrices
  05:37
• Double Integration
  05:00
• Triple Integration
  05:00
• Change of Order
  05:00
• Application to Area and Volume
  05:00
• Gamma and Beta Functions
  05:01
• Dirichlet's Integral
  05:17
• Area of Cartesian Curves
  05:00
• Area of Parametric Curves
  05:00
• Area of Polar Curves
  05:00
• Rectification of standard curve
  05:00
• Brief Intro of Cylinder, Cone and Conicoid
  05:00
• Volume of Solid
  05:00
• Volume of Revolution
  05:00
• Vectors
  05:00
• Vector Function
  01:37
• Differentiation of Vectors
  05:00
• Velocity and acceleration
  05:00
• Point Function
  04:28
• Del Operator
  01:12
• Integration of Vectors
  01:49
• Line Integral
  05:00
• Surface Integral
  05:00
• Green's Theorem
  05:00
• Curve Tracing: Parametric Curves
  05:00
• Curve Tracing: Polar Curves
  10:09
• McLaurin's Theorem for Function of Two Variable
  05:00
• Properties of Dterminants
  08:35
• Gauss Elimination Method
  03:49
• Consistency of Linear System of Equations
  02:34
• Properties of Eigen Values
  02:10
• Normal Form of a Matrix
  01:19
• Reduction to Diagonal Form
  03:16
• Change of the Variable
  05:00
• Surface Area of Revolution
  05:00
• Product of Vectors
  05:00
• Normal and Tangent to the curves
  05:00
• Gradient of a vector
  05:00
• Directional Derivatives
  05:00
• Divergence of a Vector
  05:00
• Curl of a Vector
  05:00
• Stoke's Theorem
  05:00
• Volume Integral
  05:00
• Gauss Divergence Theorem
  05:00

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