Math-4
Module I: Partial Differential Equations (PDEs) – Complete Formulas and Concepts with Clear Explanation
2 modulesPartial Differential Equations (PDEs) – Complete Formulas and Concepts with Clear Explanation
1. Origin of Partial Differential Equations PDEs arise when a physical phenomenon depends on more than one independent variable (e.g., time t …
Read ModuleOrigin of PDEs + First-Order Linear & Non-Linear PDEs with Examples
Origin of Partial Differential Equations (PDEs) + First-Order Linear & Non-Linear PDEs 1. Origin of Partial Differential Equations Partial Differential Equations arise …
Read ModuleModule II: Applications of Partial Differential Equations – Complete Theory, Formulas & Methods
2 modulesApplications-of-Partial-Differential-Equations
1. Classification of Second-Order Linear PDEs (in two independent variables) General form: \[ a(x,y) u_{xx} + 2h(x,y) u_{xy} + b(x,y) u_{yy} + …
Read ModuleDetailed Solved Example – Laplace Equation in Two Dimensions
Detailed Solved Example for Laplace Equation in Two Dimensions (with Full Steps) Problem (Standard University Level) Solve the Laplace equation \[ \frac{\partial^2 …
Read ModuleModule III: Statistical Techniques I – Complete Formulas with Clear Explanation
1 moduleModule III: Statistical Techniques I – Complete Formulas with Clear Explanation
1. Measures of Central Tendency Measure Formula (Raw Data) Formula (Grouped Data) Remarks Arithmetic Mean (\(\bar{x}\)) \(\bar{x} = \frac{\Sigma x_i}{n}\) \(\bar{x} = …
Read ModuleModule IV: Statistical Techniques II – Complete Formulas with Clear Explanation
1 moduleModule IV: Statistical Techniques II – Complete Formulas with Clear Explanation
1. Basic Probability Concepts Concept Formula / Definition Remarks Probability of an event A P(A) = Number of favourable outcomes / Total …
Read ModuleModule V: Statistical Techniques III – Complete Formulas with Clear Explanation
1 moduleModule V: Statistical Techniques III – Complete Formulas with Clear Explanation
1. Sampling Theory Type Condition Standard Error (SE) Formulas Large Sample (n ≥ 30 or np, nq > 5) Population variance known/unknown …
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