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Lecture
Numerical Methods in Matlab
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Related lectures (28)
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Floating Point Numbers: Representation and Errors
Introduces floating point number representation, round-off errors, and their impact on numerical computations.
Numerical Methods: Differential Equations
Covers the application of numerical methods to solve differential equations using MATLAB.
Numerical Integration Methods
Explores numerical integration methods and their application in solving differential equations and simulating physical systems.
Programming for Engineers: MATLAB Integration and Differentiation
Explores MATLAB integration, differentiation, ODE solvers, and simulation techniques for dynamic systems.
Floating Point Numbers: LU Decomposition and Errors
Explores floating point numbers, LU decomposition, errors, and matrix properties.
Floating Point Representation in Computers
Covers the representation of real numbers in a computer using floating point representation and the dangers of significant digit cancellation.
Nonlinear Equations: Representation of Real Numbers
Discusses the representation of real numbers in various bases and the implications of floating-point arithmetic.
Programming for Engineers: MATLAB Tips and Tricks
Explores MATLAB tips and tricks for engineers, covering installation, logical arrays, curve plotting, function approximation, anonymous functions, and numerical integration.
Floating Point Numbers: Representation and Errors
Explores floating point numbers, their representation, precision, and associated errors.
Floating Point Numbers: LU Decomposition and Errors
Explores floating point numbers, LU decomposition, errors in numerical computations, and the impact of round-off errors.