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  2. Hill climbing - Wikipedia

    en.wikipedia.org/wiki/Hill_climbing

    In numerical analysis, hill climbing is a mathematical optimization technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to find a better solution by making an incremental change to the solution.

  3. Min-conflicts algorithm - Wikipedia

    en.wikipedia.org/wiki/Min-conflicts_algorithm

    One such algorithm is min-conflicts hill-climbing. [1] Given an initial assignment of values to all the variables of a constraint satisfaction problem (with one or more constraints not satisfied), select a variable from the set of variables with conflicts violating one or more of its constraints.

  4. Simulated annealing - Wikipedia

    en.wikipedia.org/wiki/Simulated_annealing

    Simulated annealing searching for a maximum. The objective here is to get to the highest point. In this example, it is not enough to use a simple hill climb algorithm, as there are many local maxima. By cooling the temperature slowly the global maximum is found.

  5. Stochastic hill climbing - Wikipedia

    en.wikipedia.org/wiki/Stochastic_hill_climbing

    Stochastic hill climbing is a variant of the basic hill climbing method. While basic hill climbing always chooses the steepest uphill move, "stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphill move."

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  7. Stochastic gradient descent - Wikipedia

    en.wikipedia.org/wiki/Stochastic_gradient_descent

    There, () is the value of the loss function at -th example, and () is the empirical risk. When used to minimize the above function, a standard (or "batch") gradient descent method would perform the following iterations: w := w − η ∇ Q ( w ) = w − η n ∑ i = 1 n ∇ Q i ( w ) . {\displaystyle w:=w-\eta \,\nabla Q(w)=w-{\frac {\eta }{n ...

  8. Microsoft sinks, chipmakers climb as AI rally faces divide - AOL

    www.aol.com/news/microsoft-sinks-chipmakers...

    Microsoft shares fell 2.4% on Wednesday as growth in the tech giant's cloud business slowed, while Nvidia and other chipmakers rallied following a bright quarterly report from Advanced Micro Devices.

  9. Local search (optimization) - Wikipedia

    en.wikipedia.org/wiki/Local_search_(optimization)

    Most problems can be formulated in terms of a search space and target in several different ways. For example, for the traveling salesman problem a solution can be a route visiting all cities and the goal is to find the shortest route. But a solution can also be a path, and being a cycle is part of the target.