Method of Steepest Descent -- from Wolfram MathWorld

An algorithm for finding the nearest local minimum of a function which presupposes that the gradient of the function can be computed. The method of steepest descent, also called the gradient descent method, starts at a point P_0 and, as many times as needed, moves from P_i to P_(i+1) by minimizing along the line extending from P_i in the direction of -del f(P_i), the local downhill gradient. When applied to a 1-dimensional function f(x), the method takes the form of iterating

Mod-06 Lec-13 Steepest Descent Method

python - Steepest Descent Trace Behavior - Stack Overflow

Steepest descent search with exact gradient information

Wolframalpha And 48 Other AI Tools For Q&A

Lecture 8: Gradient Descent (and Beyond)

Random Walk Discrepancy - Grasshopper - McNeel Forum

Serum Metabolic Fingerprinting Identified Putatively Annotated

Method of Steepest Descent -- from Wolfram MathWorld

Doing Spy Stuff with Mathematica : r/programming

Method of Steepest Descent -- from Wolfram MathWorld

Method of steepest descent - Wikipedia