query: Local minimum and gradient
positive_passages.docid: 144745
positive_passages.text: Proof of: If $x_0\in \mathbb R^n$ is a point of local minimum of $f$, then $\nabla f(x_0) = 0$.
negative_passages.docid: 105543
negative_passages.text: Mean or sum of gradients for weight updates in SGD
negative_passages.docid: 101724
negative_passages.text: Expected minimum distance from a point with varying density
negative_passages.docid: 152916
negative_passages.text: What is the gradient with respect to a vector $\mathbf x$?
negative_passages.docid: 91232
negative_passages.text: Pointwise convergent and total variation
negative_passages.docid: 104378
negative_passages.text: Minimizing weighted sum
negative_passages.docid: 115331
negative_passages.text: Deriving the sub-differential of the nuclear norm
negative_passages.docid: 117821
negative_passages.text: Compute the minimum of a pair of vectors
negative_passages.docid: 74497
negative_passages.text: Intuitive analysis of gradient, divergence, curl
negative_passages.docid: 144357
negative_passages.text: Choose $\rho$ such that $\rho$-norm minimizes the matrix condition number
negative_passages.docid: 40960
negative_passages.text: Implicit Differentiation
negative_passages.docid: 150727
negative_passages.text: Characterization convex function.
negative_passages.docid: 64197
negative_passages.text: Subgradients of non-convex functions
negative_passages.docid: 65827
negative_passages.text: When $\min_{x \in X,y \in Y} f(x,y) = \min_{x \in X} \min_{y \in Y} f(x,y)$?
negative_passages.docid: 93456
negative_passages.text: ParallelEvaluate for function minimization
negative_passages.docid: 107333
negative_passages.text: How to find all the local minima/maxima in a range
negative_passages.docid: 21065
negative_passages.text: Bordered Hessian matrix to find a minimum of the function