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
Explore MATLAB source code curated for "极值点" with clean implementations, documentation, and examples.
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 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
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.
Algorithmic Approach to Detect Local Maximum and Minimum Points in Data Series with Code Implementation Details
MATLAB Code Implementation for Enhanced Extremum Point Detection Features