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  2. Regula falsi - Wikipedia

    en.wikipedia.org/wiki/Regula_falsi

    The Illinois algorithm halves the y-value of the retained end point in the next estimate computation when the new y-value (that is, f (c k)) has the same sign as the previous one (f (c k − 1)), meaning that the end point of the previous step will be retained. Hence:

  3. Flow-based generative model - Wikipedia

    en.wikipedia.org/wiki/Flow-based_generative_model

    A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.

  4. Branch predictor - Wikipedia

    en.wikipedia.org/wiki/Branch_predictor

    Branch prediction attempts to guess whether a conditional jump will be taken or not. Branch target prediction attempts to guess the target of a taken conditional or unconditional jump before it is computed by decoding and executing the instruction itself. Branch prediction and branch target prediction are often combined into the same circuitry.

  5. Multiplicative weight update method - Wikipedia

    en.wikipedia.org/wiki/Multiplicative_Weight...

    The multiplicative weights update method is an algorithmic technique most commonly used for decision making and prediction, and also widely deployed in game theory and algorithm design. The simplest use case is the problem of prediction from expert advice, in which a decision maker needs to iteratively decide on an expert whose advice to follow.

  6. Hardy Cross method - Wikipedia

    en.wikipedia.org/wiki/Hardy_Cross_method

    The Hardy Cross method can be used to calculate the flow distribution in a pipe network. Consider the example of a simple pipe flow network shown at the right. For this example, the in and out flows will be 10 liters per second. We will consider n to be 2, and the head loss per unit flow r, and initial flow guess for each pipe as follows:

  7. Ford–Fulkerson algorithm - Wikipedia

    en.wikipedia.org/wiki/Ford–Fulkerson_algorithm

    The Ford–Fulkerson method or Ford–Fulkerson algorithm (FFA) is a greedy algorithm that computes the maximum flow in a flow network.It is sometimes called a "method" instead of an "algorithm" as the approach to finding augmenting paths in a residual graph is not fully specified [1] or it is specified in several implementations with different running times. [2]

  8. Iowa State basketball vs. Illinois in March Madness ... - AOL

    www.aol.com/iowa-state-basketball-vs-illinois...

    Iowa State vs. Illinois prediction in March Madness. Understandably, this matchup is expected to be close. As of Saturday night on Draftkings, Iowa State was a 2.5-point favorite (-110). The over ...

  9. Projection method (fluid dynamics) - Wikipedia

    en.wikipedia.org/wiki/Projection_method_(fluid...

    The algorithm of the projection method is based on the Helmholtz decomposition (sometimes called Helmholtz-Hodge decomposition) of any vector field into a solenoidal part and an irrotational part. Typically, the algorithm consists of two stages.