Dr. Md. Masum Murshed

This is a parsonal chanel

Fourth Year Project: Lecture 1 (Image processing using Paint Software)
Fourth Year Project: Lecture 1 (Image processing using Paint Software)
Nonlinear shooting method for second order Boundary value problem with MATLAB code
Nonlinear shooting method for second order Boundary value problem with MATLAB code
Linear Shooting Method for BVP with MATLAB code
Linear Shooting Method for BVP with MATLAB code
Classical runge-kutta 4th order method for higher order IVPs with MATLAB code
Classical runge-kutta 4th order method for higher order IVPs with MATLAB code
Classical runge-kutta 4th order method for a system of IVPs with MATLAB code
Classical runge-kutta 4th order method for a system of IVPs with MATLAB code
Classical Runge kutta 4th order method for 1st order IVPs with MATLAB code | Math Practical | Lec 4
Classical Runge kutta 4th order method for 1st order IVPs with MATLAB code | Math Practical | Lec 4
Linear shooting method | Numerical Analysis | Math Practical | Lecture 3 |
Linear shooting method | Numerical Analysis | Math Practical | Lecture 3 |
Cubic Spline Interpolation | Numerical Analysis | Math Practical | Lecture 2 (last part) MATLAB code
Cubic Spline Interpolation | Numerical Analysis | Math Practical | Lecture 2 (last part) MATLAB code
Cubic Spline Interpolation | Numerical Analysis | Math Practical | Lecture 2|
Cubic Spline Interpolation | Numerical Analysis | Math Practical | Lecture 2|
Cubic Spline Interpolation | Numerical Analysis | Math Practical | Lecture 1|
Cubic Spline Interpolation | Numerical Analysis | Math Practical | Lecture 1|
Numerical Analysis | Lec-2 | Solution of algebraic and transcendental equations | Bisection Method |
Numerical Analysis | Lec-2 | Solution of algebraic and transcendental equations | Bisection Method |
Approximations and Errors | Precision and Accuracy | Significant figures | Absolute, relative errors
Approximations and Errors | Precision and Accuracy | Significant figures | Absolute, relative errors
EMSc | Real Analysic | EM 1101
EMSc | Real Analysic | EM 1101
Lec 33 | HomR(M, M) is a Ring | homomorphism 1-1 iff kernel={0} | Exact and short exact sequence |
Lec 33 | HomR(M, M) is a Ring | homomorphism 1-1 iff kernel={0} | Exact and short exact sequence |
Lec 32 | If R is a commutative ring and M, M′ are R-modules then the set HomR(M, M′) is an R-module
Lec 32 | If R is a commutative ring and M, M′ are R-modules then the set HomR(M, M′) is an R-module
Lecture 31 | Composition and sum of two R-homomorphisms | Kernel and Image of R-homomorphism
Lecture 31 | Composition and sum of two R-homomorphisms | Kernel and Image of R-homomorphism
Lec 30 | Ring | Left and Right R-Module | R-Module| Bi-Module |Factor Module | R-homomorphism
Lec 30 | Ring | Left and Right R-Module | R-Module| Bi-Module |Factor Module | R-homomorphism
Tangent and normal | Angle between two curves |
Tangent and normal | Angle between two curves |
Partial Differentiation | Euler's Theorem |
Partial Differentiation | Euler's Theorem |
Maxima and Minima
Maxima and Minima
Expansion Of Function | Rolles Theorem | Lagrange's Mean Value theorem | Cauchy' Mean Value theorem
Expansion Of Function | Rolles Theorem | Lagrange's Mean Value theorem | Cauchy' Mean Value theorem
Calculus I | Leibnitz's Theorem and its application
Calculus I | Leibnitz's Theorem and its application
Real Analysis II | The lebesgue theory | Lec 6| Measurable Space| Measure Space| lebesgue integral |
Real Analysis II | The lebesgue theory | Lec 6| Measurable Space| Measure Space| lebesgue integral |
Real Analysis II | The lebesgue theory | Lec 5 | Simple function | Lebesgue integration |
Real Analysis II | The lebesgue theory | Lec 5 | Simple function | Lebesgue integration |
Real Analysis II | The lebesgue theory | Lec 4 | Sigma Algebra | Measurable Space | Measure Space |
Real Analysis II | The lebesgue theory | Lec 4 | Sigma Algebra | Measurable Space | Measure Space |
Real Analysis I || Derivative || Lecture 3 ||
Real Analysis I || Derivative || Lecture 3 ||
Real Analysis II | The lebesgue theory | Lec 3 | Topological Space | Sigma Algebra | Measure Space |
Real Analysis II | The lebesgue theory | Lec 3 | Topological Space | Sigma Algebra | Measure Space |
Real Analysis I || Derivative || Lecture 2 || Generalized Mean Value Theorem ||
Real Analysis I || Derivative || Lecture 2 || Generalized Mean Value Theorem ||
Real Analysis I || Derivative || Lecture 1 ||
Real Analysis I || Derivative || Lecture 1 ||
Real II | Ring of sets & Sigma ring of sets | Additive & countably additive set function | Lec I |
Real II | Ring of sets & Sigma ring of sets | Additive & countably additive set function | Lec I |