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Course StructureBCA 154

Mathematics II

1

Limit and Continuity

Limits of functions, indeterminate forms, continuity, and properties of continuous functions.

Concept of Limits
  • Definition of limit (informal and formal)
  • Left-hand and right-hand limits
  • Limit of a function (epsilon-delta definition)
  • Algebra of limits
  • Limits involving infinity
Techniques of Evaluating Limits
  • Direct substitution method
  • Factorization method
  • Rationalization method
  • L'Hospital's rule
  • Special limits (sin x/x, (1+1/x)^x)
Continuity
  • Definition of continuity at a point
  • Continuity on an interval
  • Types of discontinuities (removable, jump, infinite)
  • Properties of continuous functions
  • Intermediate value theorem
2

Derivatives

Definition, rules of differentiation, chain rule, implicit differentiation, higher order derivatives, and partial derivatives.

Definition and Basic Rules
  • Definition of derivative (first principles)
  • Differentiability and continuity relationship
  • Derivative by first principles
  • Power rule and constant rule
  • Sum and difference rule
Advanced Differentiation Rules
  • Product rule
  • Quotient rule
  • Chain rule
  • Implicit differentiation
  • Logarithmic differentiation
Higher Order Derivatives
  • Second and higher order derivatives
  • Notation for higher order derivatives
  • Applications of second derivative
  • Partial derivatives
  • Total differential
3

Applications of Derivatives

Maxima and minima, tangents and normals, L'Hospital's rule, mean value theorems, Taylor and Maclaurin series.

Maxima and Minima
  • Critical points and stationary points
  • First derivative test
  • Second derivative test
  • Absolute maxima and minima
  • Applications in optimization problems
Tangents and Normals
  • Equation of tangent line
  • Equation of normal line
  • Slope of tangent and normal
  • Angle of intersection of curves
  • Length of tangent and normal
Mean Value Theorems
  • Rolle's theorem
  • Lagrange's mean value theorem
  • Cauchy's mean value theorem
  • Taylor's theorem
  • Maclaurin series expansion
Indeterminate Forms
  • Indeterminate forms (0/0, infinity/infinity, 0*infinity)
  • L'Hospital's rule application
  • Evaluating limits using series expansion
  • Form 0^0, 1^infinity, infinity^0
  • Techniques for different indeterminate forms
4

Anti-derivative and its Applications

Indefinite and definite integrals, integration by parts, partial fractions, area under curve, surface and volume integrals.

Integration Basics
  • Definition of antiderivative
  • Indefinite integration
  • Basic integration formulas
  • Integration by substitution
  • Integration by parts
Advanced Integration Techniques
  • Integration using partial fractions
  • Integration using trigonometric identities
  • Trigonometric substitution
  • Integration of special functions
  • Reduction formulas
Definite Integration
  • Definite integral definition
  • Fundamental theorem of calculus
  • Properties of definite integrals
  • Area under a curve
  • Area between two curves
Applications of Integration
  • Volume of solids of revolution
  • Arc length of curves
  • Surface area of revolution
  • Average value of a function
  • Work and energy applications
5

Differential Equations

First and second order ODEs, variable separable, homogeneous, exact equations, and applications.

First Order Differential Equations
  • Definition and classification
  • Order and degree of differential equations
  • Variable separable method
  • Homogeneous equations
  • Linear first order equations
Advanced Solution Methods
  • Exact equations
  • Integrating factor method
  • Bernoulli's equation
  • Orthogonal trajectories
  • Applications of first order ODEs
Second Order Differential Equations
  • Homogeneous equations with constant coefficients
  • Auxiliary equation
  • Real and distinct roots
  • Real and equal roots
  • Complex conjugate roots
Applications of Differential Equations
  • Growth and decay models
  • Newton's law of cooling
  • Simple harmonic motion
  • RLC circuits
  • Mixing problems
6

Computational Methods

Bisection method, Newton-Raphson method, Gauss elimination, linear programming, and simplex method.

Root Finding Methods
  • Bisection method (interval halving)
  • Regula-Falsi method (false position)
  • Newton-Raphson method
  • Secant method
  • Comparison of convergence rates
Linear Algebra Methods
  • Gaussian elimination
  • Gauss-Jordan elimination
  • Matrix inversion methods
  • LU decomposition
  • Iterative methods (Jacobi, Gauss-Seidel)
Linear Programming
  • Formulation of linear programming problems
  • Graphical method
  • Simplex method
  • Duality in linear programming
  • Transportation problems
Interpolation and Approximation
  • Finite differences
  • Newton's forward difference
  • Newton's backward difference
  • Lagrange's interpolation
  • Least squares method