Matlab Resources

Showing items tagged with "Matlab"

Application Background: This 799-page mathematical modeling algorithm collection includes practical MATLAB examples. After studying chapters on differential equations, time series, and intelligent algorithms, I found it highly beneficial and appreciate the author's work. The PDF features clear formatting and copy-paste ready code, making it ideal for collaborative learning and skill enhancement. Key Technologies Covered: Major topics include linear programming, integer programming, nonlinear programming, dynamic programming, graph and network theory, queuing theory, game theory, analytic hierarchy process, interpolation and fitting, statistical data description and analysis, variance analysis, regression analysis, differential equation modeling, steady-state models, ordinary differential equation solutions, difference equation models, Markov chain models, variational method models, neural network models, numerical solutions of differential equations, goal programming, fuzzy mathematical models, modern optimization algorithms, and time series modeling.

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Application Background: This code is highly practical for load forecasting and related applications. It has been successfully implemented in wind power prediction projects. Beneficial for users seeking source code references, this solution is based on understandable logic with provided sample data - simply replace with your own datasets for immediate implementation. Key Technology: Primarily utilizing MATLAB's computational capabilities with standard programming constructs, the code generates graphical outputs for daily/monthly load forecasting. The prediction algorithm leverages historical power data patterns, employing time-series analysis techniques to model and project future load demands.

MATLAB 368 views Tagged
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MATLAB Implementation of Traffic Flow Car-Following Model Based on Optimal Velocity Model (OVM) - Features parameter adjustment for sensitivity and headway distance, ideal for beginners learning velocity optimization models. Key technical elements include: OVM traffic flow model, driver reaction delay time, delayed feedback mechanisms, multi-vehicle tracking, and single-lane simulation scenarios.

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This source code provides a Monte Carlo simulation implementation suitable for MATLAB beginners, featuring comprehensive demonstrations including random number generation, statistical analysis, and result visualization to support future research applications.

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While 1D finite element programs are relatively straightforward, 2D finite element source codes present significant complexity. This MATLAB program solves two-dimensional elliptic equations using rectangular grid discretization, featuring robust implementation that generates both exact and numerical solution visualizations. The program serves as both an elliptic equation solver and a reference implementation for other PDEs, requiring only minor modifications to adapt to different equations. Key algorithmic components include mesh generation, stiffness matrix assembly, and variational formulation implementation.

MATLAB 337 views Tagged
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