query: why does the jacobian point towards the maxima of a function?
positive_passages.docid: 774
positive_passages.text: Why is gradient the direction of steepest ascent?
negative_passages.docid: 133749
negative_passages.text: Trouble with gradient intuition
negative_passages.docid: 151981
negative_passages.text: Tangent line of a convex function
negative_passages.docid: 12284
negative_passages.text: Mean Value Theorem Motivation
negative_passages.docid: 153331
negative_passages.text: Bernoulli's principle on a curve ball
negative_passages.docid: 157624
negative_passages.text: How to force the function to take positive value when solving PDE by NDSolve
negative_passages.docid: 6848
negative_passages.text: The strange thing about the maximum in Planck's law
negative_passages.docid: 152782
negative_passages.text: Why does finding the $x$ that maximizes $\ln(f(x))$ is the same as finding the $x$ that maximizes $f(x)$?
negative_passages.docid: 157673
negative_passages.text: Why does Intermediate Value Theorem only consider end-points?
negative_passages.docid: 131444
negative_passages.text: Local maximum implies derivative is $0$
negative_passages.docid: 58148
negative_passages.text: On the growth of the Jacobi theta function
negative_passages.docid: 131564
negative_passages.text: What is the Jacobian matrix?
negative_passages.docid: 123911
negative_passages.text: Why is the derivative of a vector orthogonal to the vector itself?
negative_passages.docid: 83301
negative_passages.text: Intuition behind directional derivative (geometrically)?
negative_passages.docid: 24471
negative_passages.text: Does the derivative of a continuous function goes to zero if the function converges to it?
negative_passages.docid: 151864
negative_passages.text: Derivative of the Absolute Value Function in Mathematica looks very different from the actual answer
negative_passages.docid: 48130
negative_passages.text: Why limits give us the exact value of the slope of the tangent line?