What are Numerical Root Finding Methods? Numerical Root Finding Methods are essential techniques in mathematics and science for locating solutions to equations, particularly when
What are Genetic Algorithms? Genetic algorithms (GAs) are like nature-inspired computer programs that help find the best solutions to problems. They work by creating
What is Principal Component Analysis? Principal Component Analysis (PCA) is a statistical procedure and an Unsupervised Learning Algorithm for reducing the dimensionality of a
In this video tutorial, “Numerical Computations in MATLAB” has been reviewed. In fact, the built-in capabilities of MATLAB are used to perform numerical computations,
In this video tutorial, “Optimization” has been reviewed and implemented using MATLAB. For watching full course of Numerical Computations, visit this page. Watch Online
In this video tutorial, “Numerical Solution of Differential Equations” has been reviewed and implemented using MATLAB. For watching full course of Numerical Computations, visit
In this video tutorial, the way of working with “Polynomials” has been reviewed and implemented using MATLAB. For watching full course of Numerical Computations,
In this video tutorial, “Integration and Differentiation” has been reviewed and implemented using MATLAB. For watching full course of Numerical Computations, visit this page.
In this video tutorial, “Interpolation” has been reviewed and implemented using MATLAB. Watch Online Five sections of this video tutorial are available on YouTube
In this video tutorial, “Eigenvalues and Eigenvectors” and “Singular Value Decomposition” has been reviewed and implemented using MATLAB. For watching full course of Numerical
In this video tutorial, “Root Finding Methods” has been reviewed and implemented using MATLAB. For watching full course of Numerical Computations, visit this page.
In this video tutorial firstly the mathematical foundations of a special case of Least Squares method has been reviewed and then, using three programming
Difference Equations , aka. Recurrence Relations, are very similar to differential equations, but unlikely, they are defined in discrete domains (e.g. discrete time or
The Runge-Kutta method is a numerical technique used to solve ordinary differential equations by iteratively approximating the solution. This essential technique is pivotal for
Linear programming is a powerful mathematical method for optimizing complex decisions. MATLAB is an ideal platform to begin to learn and implement LP problems,
YPEA for MATLAB [+] is a general-purpose toolbox to define and solve optimization problems using Evolutionary Algorithms (EAs) and Metaheuristics. To use this toolbox,
Previously we published implementation of Particle Swarm Optimization (PSO) in MATLAB. Now, the Python implementation of PSO is available to download. It is very
Jan and Deb, extended the well-know NSGA-II to deal with many-objective optimization problem, using a reference point approach, with non-dominated sorting mechanism. The newly
Particle Swarm Optimization (PSO) is an intelligent algorithm leveraging principles from Swarm Intelligence, inspired by the social behavior of birds and fish. Learning PSO
In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering
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