Descent direction and Line search

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Descent direction and Line search

Descent direction vs. Line search

In optimization, a descent direction is a vector \mathbf\in\mathbb R^n that, in the sense below, moves us closer towards a local minimum \mathbf^* of our objective function f:\mathbb R^n\to\mathbb R. Suppose we are computing \mathbf^* by an iterative method, such as line search. In optimization, the line search strategy is one of two basic iterative approaches to find a local minimum \mathbf^* of an objective function f:\mathbb R^n\to\mathbb R. The other approach is trust region.

Similarities between Descent direction and Line search

Descent direction and Line search have 3 things in common (in Unionpedia): Conjugate gradient method, Gradient descent, Mathematical optimization.

Conjugate gradient method

In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose matrix is symmetric and positive-definite.

Conjugate gradient method and Descent direction · Conjugate gradient method and Line search · See more »

Gradient descent

Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function.

Descent direction and Gradient descent · Gradient descent and Line search · See more »

Mathematical optimization

In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element (with regard to some criterion) from some set of available alternatives.

Descent direction and Mathematical optimization · Line search and Mathematical optimization · See more »

The list above answers the following questions

What Descent direction and Line search have in common
What are the similarities between Descent direction and Line search

Descent direction and Line search Comparison

Descent direction has 7 relations, while Line search has 17. As they have in common 3, the Jaccard index is 12.50% = 3 / (7 + 17).

References

This article shows the relationship between Descent direction and Line search. To access each article from which the information was extracted, please visit:

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