Explore MATLAB source code curated for "节点" with clean implementations, documentation, and examples.
This is a MATLAB-based code primarily designed for mechanical problems involving rectangular bodies. It calculates main body forces and employs the finite element method to solve for stress, strain, and displacement at each node.
This MATLAB-based implementation simulates the Ad Hoc On-Demand Distance Vector (AODV) routing protocol for wireless ad hoc networks. The simulation environment consists of 50 randomly distributed nodes within a 50m×50m area. Users can specify source and destination nodes, and the algorithm computes the shortest path (minimum hop count) between them. The implementation models direct communication ranges where nodes can reach neighboring nodes within their transmission radius in a single hop. Key features include route discovery, path maintenance, and neighbor detection mechanisms.
A comprehensive program implementation of Dijkstra's shortest path algorithm. Dijkstra's algorithm is a classic graph traversal method that calculates the shortest paths from a single source node to all other nodes in a weighted graph. Its core characteristic involves expanding outward layer by layer from the starting point until reaching the destination. While Dijkstra's algorithm guarantees optimal solutions, its computational efficiency decreases with larger graphs due to extensive node processing. This algorithm serves as fundamental content in technical courses like Data Structures, Graph Theory, and Operations Research, with implementations typically involving priority queues and relaxation operations for edge weight updates.
This MATLAB implementation provides a fast solution for detecting endpoints and junctions in line structures, returning spatial coordinates and connectivity information. The algorithm utilizes morphological operations and neighbor analysis to efficiently identify critical points where lines terminate or intersect.
This simulation demonstrates the behavior of a single node within a Mobile Ad Hoc Network, featuring random mobility patterns and individual node analysis capabilities, with potential extension to multi-node interaction studies.
Solving unit commitment problems using priority order method with 1024-node dataset, including data preprocessing and optimization evaluation
MATLAB lacks a built-in Hermite interpolation function, requiring creation of an M-file. The implementation takes node data arrays x0 (x-coordinates), y0 (function values), and y1 (derivative values) for n nodes, plus m interpolation points in array x, and outputs interpolated values in array y. Key considerations include MATLAB's 1-based indexing and the hermite.m file structure.
Power Flow Analysis Implementation for Electrical Network Nodes