About this document
Multiple-Dimension Optimization Techniques by teknikpembakaran2013 is a document available to read on EtoBox.
The document discusses algorithms for unconstrained optimization in multiple dimensions, focusing on the golden section algorithm, steepest descent method, and conjugate gradient method. It explains how the golden section algorithm uses repetition to minimize a function over an interval through successive divisions. It then discusses how steepest descent chooses the direction that goes downhill as quickly as possible but may zigzag, while conjugate gradients detects and eliminates zigzagging for faster conv
- Author
- teknikpembakaran2013
- Language
- EN