- Eigen Values & Eigen Vectors - Problem 1
- Eigen Values & Eigen Vectors - Problem 2
- Eigen Values & Eigen Vectors - Problem 3
- Eigen Values & Eigen Vectors - Problem 4
- Eigen Values & Eigen Vectors - Problem 5
- Properties of Eigen Values & Eigen Vectors - Problem 1
- Properties of Eigen Values & Eigen Vectors - Problem 2
- Diagonalization of Eigen Values & Eigen Vectors - Problem 1
- Diagonalization of Eigen Values & Eigen Vectors - Problem 2
- Diagonalization of Eigen Values & Eigen Vectors - Problem 3
- Diagonalization of Eigen Values & Eigen Vectors - Problem 4
- Diagonalization of Eigen Values & Eigen Vectors - Problem 5
- Cayley Hamilton Thorem - Problem 1
- Cayley Hamilton Thorem - Problem 2
- Cayley Hamilton Thorem - Problem 3
- Derogatory Problem 1
- Derogatory Problem 2
- Derogatory Problem 3
- Function of Square Matrix - Problem 1
- Function of Square Matrix - Problem 2
- Function of Square Matrix - Problem 3
- Function of Square Matrix - Problem 4
- Function of Square Matrix - Problem 5

- Introduction To Vector Differentiation
- Basic Type Problem 1
- Basic Type Problem 2
- Basic Type Problem 3
- Basic Type Problem 4
- Directional Derivative - Problem 1
- Directional Derivative - Problem 2
- Directional Derivative - Problem 3
- Proofs - Problem 1
- Proofs - Problem 2
- Proofs - Problem 3
- Curl Divergence - Problem 1
- Curl Divergence - Problem 2
- Curl Divergence - Problem 3
- Curl Divergence - Problem 4
- Curl Divergence - Problem 5

- Line Integration - Problem 1
- Line Integration - Problem 2
- Line Integration - Problem 3
- Line Integration - Problem 4
- Line Integration - Problem 5
- Introduction to Double Integration
- Green's Theorem - Problem 1
- Green's Theorem - Problem 2
- Green's Theorem - Problem 3
- Green's Theorem - Problem 4
- Green's Theorem - Problem 5
- Green's Theorem - Problem 6
- Green's Theorem - Problem 7
- Green's Theorem - Problem 8
- Green's Theorem - Problem 9
- Stoke's Theorem - Problem 1
- Stoke's Theorem - Problem 2
- Stoke's Theorem - Problem 3
- Stoke's Theorem - Problem 4
- Gauss Divergence Theorem - Problem 1
- Gauss Divergence Theorem - Problem 2
- Gauss Divergence Theorem - Problem 3
- Gauss Divergence Theorem - Problem 4
- Gauss Divergence Theorem - Problem 5
- Introduction to Beta Gamma Function
- Gauss Divergence Theorem - Problem 6
- Gauss Divergence Theorem - Problem 7

- Introduction To Probability & Distribution
- Probability Distribution Problem 1
- Probability Distribution Problem 2
- Probability Distribution Problem 3
- Probability Distribution Problem 4
- Probability Distribution Problem 5
- Probability Distribution Problem 6
- Probability Distribution Problem 7
- Probability Distribution Problem 8
- Introduction to Moments & Generating Function
- Moments & Moment Generating Function Problem 1
- Moments & Moment Generating Function Problem 2
- Moments & Moment Generating Function Problem 3
- Moments & Moment Generating Function Problem 4
- Some Standard Distribution and Introduction to Binomial Distribution
- Binomial Distribution Problem 1
- Binomial Distribution Problem 2
- Binomial Distribution Problem 3
- Binomial Distribution Problem 4
- Binomial Distribution Problem 5
- Binomial Distribution Problem 6
- Binomial Distribution Problem 7
- Binomial Distribution Problem 8
- Binomial Distribution Problem 9
- Binomial Distribution Problem 10
- Introduction to Poisson Distribution
- Poisson Distribution Problem 1
- Poisson Distribution Problem 2
- Poisson Distribution Problem 3
- Poisson Distribution Problem 4
- Poisson Distribution Problem 5
- Poisson Distribution Problem 6
- Introduction to Normal Distribution
- Normal Distribution (Forward Problem) - Problem 1
- Normal Distribution (Forward Problem) - Problem 2
- Normal Distribution (Forward Problem) - Problem 3
- Normal Distribution (Forward Problem) - Problem 4
- Normal Distribution (Forward Problem) - Problem 5
- Normal Distribution (Reverse Problem) - Problem 1
- Normal Distribution (Reverse Problem) - Problem 2
- Normal Distribution (Reverse Problem) - Problem 3
- Normal Distribution (Reverse Problem) - Problem 4

- Concept of Sampling
- Concept Of Large Sample Test & Types
- Test of Single Mean of Large Sample Test - Problem 1
- Test For Single Mean of Large Sample Test - Problem 2
- Test of Single Mean of Large Sample Test - Problem 3
- Test for Difference between Means of Large Sample Test - Problem 1
- Test for Difference between Means of Large Sample Test - Problem 2
- Concept Of Small Sample Test
- Test For Single Mean Of Small Sample Test - Problem 1
- Test For Single Mean Of Small Sample Test - Problem 2
- Test For Single Mean Of Small Sample Test - Problem 3
- Test for Difference between Means (Dependent Sample) of Small Sample Test - Problem 1
- Test for Difference between Means (Dependent Sample) of Small Sample Test - Problem 2
- Test for Difference between Means (Independent Sample) of Small Sample Test - Problem 1
- Test for Difference between Means (Independent Sample) of Small Sample Test - Problem 2
- Test for Difference between Means (Independent Sample) of Small Sample Test - Problem 3
- Test for Difference between Means (Independent Sample) of Small Sample Test - Problem 4

- Introduction to Chi-Square Test
- Test for Goodness of Fit - Problem 1
- Test for Goodness of Fit - Problem 2
- Test for Goodness of Fit - Problem 3
- Test for Goodness of Fit - Problem 4
- Test for Goodness of Fit - Problem 5
- Test for Independence of Attributes - Problem 1
- Test for Independence of Attributes - Problem 2
- Test for Independence of Attributes - Problem 3

- Laurent'z & Taylor's Series - Problem 1
- Laurent'z & Taylor's Series - Problem 2
- Laurent'z & Taylor's Series - Problem 3
- Laurent'z & Taylor's Series - Problem 4
- Laurent'z & Taylor's Series - Problem 5
- Line Integration Close Curve - Problem 1
- Line Integration Close Curve - Problem 2
- Line Integration Close Curve - Problem 3
- Line Integration Close Curve - Problem 4
- Line Integration Open Curve - Problem 1
- Line Integration Open Curve - Problem 2
- Line Integration Open Curve - Problem 3
- Line Integration Open Curve - Problem 4
- Cauchy Integral Theorem Concept With Examples
- Cauchy Integral Theorem - Problem 1
- Cauchy Integral Theorem - Problem 2
- Cauchy Integral Theorem - Problem 3
- Cauchy Integral Theorem - Problem 4
- Cauchy Integral Theorem - Problem 5
- Concept Of Residues With Examples
- Residues - Problem 1
- Residues - Problem 2
- Residues - Problem 3
- Residues - Problem 4
- Residues - Problem 5
- Concept Application of Residues and it's Types
- Application of Residues Type 1 - Problem 1
- Application of Residues Type 1 - Problem 2
- Application of Residues Type 1 - Problem 3
- Application of Residues Type 1 - Problem 4
- Application of Residues Type 2 - Problem 1
- Application of Residues Type 2 - Problem 2

- NLPP with No Constraints Problem 1
- NLPP with No Constraints Problem 2
- Lagrange’s Multipliers (NLPP with 2 Variables and 1 Equality Constraints) Problem
- Lagrange’s Multipliers (NLPP with 3 Variables and 1 Equality Constraints) Problem 1
- Lagrange’s Multipliers (NLPP with 3 Variables and 1 Equality Constraints) Problem 2
- Kuhn Tucker Conditions
- Kuhn Tucker (NLPP with 2 Variables and 1 Inequality Constraints) Problem 1
- Kuhn Tucker (NLPP with 2 Variables and 1 Inequality Constraints) Problem 2
- Kuhn Tucker (NLPP with 2 Variables and 2 Inequality Constraints) Problem 1
- Kuhn Tucker (NLPP with 2 Variables and 2 Inequality Constraints) Problem 2
- Kuhn Tucker (NLPP with 2 Variables and 2 Inequality Constraints) Problem 3

Professor Farhan Meer believes only good education is the foundation of a better future and knowledge is only a thing which can never be snatched from a person, so it stays for life. With more than ten years of bountiful teaching experience in the field of mathematics, and computer science, he has attained both of his degrees in bachelor and master of computer engineering from Thakur College Of Engineering Kandivali. His teaching methodology involves focusing on the simplification of sums to make students understand more some of his primary and secondary subjects remain Engineering Mathematics and Computer Science respectively. His definition for good teaching is all about listening, questioning, being responsive and remembering that each student and class is different yet unique.

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