• Order and Degree of Differential Equation
  01:26
• Differential Equation with Separable Variables
  05:00
• Homogenous Differential Equation
  05:00
• Eq. Reducble to Homogeneous Form when a/a' ≠ b/b'
  05:00
• Solution of Differential Eq. when a/a' = b/b'
  05:00
• Leibnitz Linear Equation
  05:00
• Bernoulli's Equation
  05:00
• Exact Differential Equation
  05:00
• Equation Reducible to Exact Differential Equation
  01:54
• Eq. Reducible to Exact Differential Eq. by Inspection
  02:33
• IF of a Homogenous Equation
  05:00
• IF for a Eq. of Type: { f1(xy)ydx - f2(xy)xdy = 0}
  05:00
• IF for a Eq. of Type: { Mdx + Ndy = 0 }
  05:00
• Equation Solvable for p
  05:00
• Equation Solvable for y
  02:27
• Equation Solvable for x
  02:33
• Clairaut's Equation
  05:00
• Rules for Finding Complementary Function
  02:19
• CF if Roots are Real and Different
  05:00
• CF if Two Roots are real and Equal
  05:00
• CF if One Pair of Roots are Imaginary and different
  05:00
• CF if Two Pairs of Imaginary Roots be Equal
  05:00
• PI when X = eax
  05:00
• PI when X = Sin (ax+b) or X = Cos(ax+b)
  05:00
• PI when X = xm
  05:00
• PI when X = eax V
  05:00
• When X is any other Function of x
  05:00
• Method of Variation of Parameters
  05:00
• Working Pro. to Solve the Linear Differential Eq.
  05:00
• Cauchy's Homogenous Linear Equation
  05:00
• Legendre's Linear Equation
  05:00
• Simultaneous Linear Eq. with Constant Coefficient
  05:00
• Introduction to Matrices and Determinants
  05:26
• Minors and Cofactors of Determinant
  03:39
• Properties of Dterminants
  08:35
• 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 a Matrix
  05:00
• Homogeneous & Non Homogeneous Equations
  06:23
• Inverse of a Matrix
  05:00
• Gauss Jordan Method
  05:00
• Matrix Method(non)
  05:26
• Cramer's Rule(homog.)
  05:26
• Gauss Elimination Method
  03:49
• Linear Dependence of Vectors
  05:00
• Consistency of Linear System of Equations
  02:34
• Characteristic Equation
  05:00
• Eigen Values and Eigen Vectors
  05:18
• Caley-Hamilton Theorem
  05:00
• Reduction to Diagonal Form
  03:16
• Sequence
  01:56
• Series
  00:56
• General Properties of Series
  02:04
• Series of Positive Terms
  02:11
• Integral Test
  05:00
• D'Alembert's Ratio Test
  01:29
• Formation of Differential Equation
  05:00
• Linear Differential Equation
  01:35
• Simple Harmonic Motion
  05:00
• RLC Circuit
  05:00
• Deflection of Beams
  04:10
• Complex Matrices
  05:37
• Comparison Test: Case 1
  01:11
• Comparison Test: Case 2
  01:04
• Rabee's Test
  05:00
• Logarithmic Test
  01:22
• Cauchy's Ratio Test
  05:00
• Alternating Series
  05:00
• Complex Number
  01:31
• Modulus and Argument of Complex Number
  01:27
• De-moivres Theorem
  05:00
• Expansion of Sin(nθ), Cos(nθ) and tan(nθ)
  05:00
• Addition Formulae
  05:00
• Expansion of Sinm θ , Cosn θ, or Sinm θ Cosn θ
  05:00
• Exponential Function of a Complex Variable
  05:00
• Circular Function of a Complex Variable
  05:00
• Logarithmic Function of a Complex Variable
  05:00
• sin(x+iy) and cos(x+iy)
  01:32
• sinh (x+iy)
  01:25
• Log (x + iy)
  01:46
• C + iS Method
  05:00
• D'Alembert's Ratio Test: Case 1 (λ <1)
  05:00
• Solution of Differential Equation
  02:03
• Solution of Linear Differential Equation
  01:32
• Rules for Finding Particular Integral
  02:42
• Operator Method
  03:47
• Partition Method of Finding the Inverse
  03:13
• Properties of Eigen Values
  02:19
• Normal Form of a Matrix
  05:00
• Comparison Test: Case 3
  05:00
• Comparision of Ratios
  01:23
• D'Alembert's Ratio Test: Case 2 (λ > 1)
  05:00
• Absolute and Conditionally Convergent
  01:21
• Arithmetic Properties of Complex Number
  02:39
• Conjugate Properties of Complex Number
  05:00
• Hyperbolic Function of a Complex Variable
  05:00
• Inverse Hyperbolic Function of a Complex Variable
  05:00
• tan(x+iy)
  02:38
• sec(x+iy)
  02:17
• tanh (x+iy)
  02:40
• (α+iβ)(x+iy)
  01:46
• Operator D
  01:23
• Differential Equation
  01:12
• Ordinary Differential Equation
  01:15

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