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  2. Chou–Fasman method - Wikipedia

    en.wikipedia.org/wiki/Chou–Fasman_method

    The Chou–Fasman method is an empirical technique for the prediction of secondary structures in proteins, originally developed in the 1970s by Peter Y. Chou and Gerald D. Fasman. [ 1 ] [ 2 ] [ 3 ] The method is based on analyses of the relative frequencies of each amino acid in alpha helices , beta sheets , and turns based on known protein ...

  3. Green gross domestic product - Wikipedia

    en.wikipedia.org/wiki/Green_gross_domestic_product

    Rental value is therefore the difference between the market price and cost of production / extraction." [ 18 ] Following this, and by adjusting calculations for (un)sustainable use patterns, they are able to determine the stock of natural capital in a country that more accurately reflects its wealth.

  4. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    Random walk: The instantaneous log return of the stock price is an infinitesimal random walk with drift; more precisely, the stock price follows a geometric Brownian motion, and it is assumed that the drift and volatility of the motion are constant. If drift and volatility are time-varying, a suitably modified Black–Scholes formula can be ...

  5. Elliott wave principle - Wikipedia

    en.wikipedia.org/wiki/Elliott_wave_principle

    The Elliott wave principle, or Elliott wave theory, is a form of technical analysis that financial traders use to analyze financial market cycles and forecast market trends by identifying extremes in investor psychology and price levels, such as highs and lows, by looking for patterns in prices.

  6. Economic batch quantity - Wikipedia

    en.wikipedia.org/wiki/Economic_batch_quantity

    In inventory management, Economic Batch Quantity (EBQ), also known as Optimum Batch Quantity (OBQ) is a measure used to determine the quantity of units that can be produced at the minimum average costs in a given batch or product run.

  7. Gradient descent - Wikipedia

    en.wikipedia.org/wiki/Gradient_descent

    Illustration of gradient descent on a series of level sets. Gradient descent is based on the observation that if the multi-variable function is defined and differentiable in a neighborhood of a point , then () decreases fastest if one goes from in the direction of the negative gradient of at , ().

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