Numerical Computations: Counting Root Finding, Linear Algebra, Curve Fitting, Numerical Integration, Differential Equations, and Optimization
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Numerical Computations
In this course, the implicit abilities of MATLAB are utilized to perform mathematical calculations, which are extremely helpful in colossal fields of applied science and designing, including:
- Root finding and condition addressing
- Settling arrangement of conditions
- Eigenvalues, eigenvectors and eigendecomposition
- Particular Value Decomposition
- Interjection, bend fitting, and surface demonstrating
- Mathematical coordination and separation
- Working with polynomials
- Addressing Ordinary Differential Equations (ODEs)
- Tackling Boundary Value Problems (BVPs)
- Addressing Delayed Differential Equations (DDEs)
- Direct Programming (LP)
- Blended Integer Linear Programming (MILP)
- Quadratic Programming (QP)
- Obliged and unconstrained nonlinear advancement
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What you’ll realize
- Root Finding and Numerical Equation Solving in MATLAB
- Straight Algebra, Eigendecomposition, and SVD in MATLAB
- Bend Fitting and Interpolation in 1D, 2D, and 3D Spaces utilizing MATLAB
- Mathematical Integration and Differentiation in MATLAB
- Working with Polynomials in MATLAB
- Addressing Ordinary Differential Equations in MATLAB
- Tackling Boundary Value Problems in MATLAB
- Addressing Delayed Differential Equations in MATLAB
- Direct Programming and Mixed-Integer LP in MATLAB
- Quadratic Programming in MATLAB
- Obliged and Unconstrained Nonlinear Optimization in MATLAB
Are there any course necessities or requirements?
- Fundamental Math and Calculus
- Mathematical Methods
- MATLAB Programming
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Who this course is for:
- Applied Math and Science Students
- Designing Students
- Everybody inspired by mathematical strategies and calculation
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