Solving Extremum and Critical Point Problems for Convex Functions
Newton's Method and Quadratic Interpolation Method Widely Used in Optimization Design for Solving Extremum and Critical Point Problems of Convex Functions
Adaptive Morphological Filtering Algorithm for Effective Nonlinear Signal Filtering
Adaptive morphological filtering algorithm effectively filters nonlinear signals by determining structural element dimensions (length and height) based on signal extreme points, with implementation involving dynamic parameter adjustment through peak/valley detection
Identifying Extreme Points in a Data Sequence Using Simple Algorithms
A simple yet effective algorithm for accurately detecting extreme points (local minima and maxima) in data sequences, with implementation insights and practical applications across various domains.
Identifying Extreme Value Points in Data Sequences
Algorithmic Approach to Detect Local Maximum and Minimum Points in Data Series with Code Implementation Details
MATLAB Code Implementation for New Extremum Point Detection Functionality
MATLAB Code Implementation for Enhanced Extremum Point Detection Features