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 "二次插值法" 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
MATLAB implementation of quadratic interpolation algorithms from optimization theory textbooks, including parabolic interpolation and three-point quadratic interpolation methods with detailed usage instructions in program documentation
Implementation of image downsampling using three sampling methods: nearest-neighbor interpolation, bilinear interpolation, and bicubic convolution, with detailed algorithm explanations and code implementation approaches.