Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… … Wikipedia
Maximum power principle — in Energy Systems Language adapted from Odum and Odum 2000, p. 38 The maximum power principle has been proposed as the fourth principle of energetics in open system thermodynamics, where an example of an open system is a biological cell.… … Wikipedia
Maximum entropy spectral analysis — (MaxEnt spectral analysis) is a method of improving spectral quality based on the principle of maximum entropy. It is simply the application of maximum entropy modeling to any type of spectrum and is used in all fields where data is presented in… … Wikipedia
Maximum a posteriori — In statistics, the method of maximum a posteriori (MAP, or posterior mode) estimation can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to Fisher s method of maximum likelihood… … Wikipedia
maximum sustainable yield — the average or maximum catch that can be removed under existing environmental conditions over an indefinite period without causing the stock to be depleted, assuming that removals and natural mortality are balanced by stable recruitment and… … Dictionary of ichthyology
Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics … Wikipedia
Iterative method — In computational mathematics, an iterative method is a mathematical procedure that generates a sequence of improving approximate solutions for a class of problems. A specific implementation of an iterative method, including the termination… … Wikipedia
Newton's method — In numerical analysis, Newton s method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real valued function. The… … Wikipedia
Newton's method in optimization — A comparison of gradient descent (green) and Newton s method (red) for minimizing a function (with small step sizes). Newton s method uses curvature information to take a more direct route. In mathematics, Newton s method is an iterative method… … Wikipedia
Nelder–Mead method — Nelder–Mead simplex search over the Rosenbrock banana function (above) and Himmelblau s function (below) See simplex algorithm for Dantzig s algorithm for the problem of linear opti … Wikipedia
Datar-Mathews Method for Real Option Valuation — The Datar Mathews Method [1] (DM Method ©[2]) is a new method for Real options valuation. The DM Method can be understood as an extension of the net present value (NPV) multi scenario Monte Carlo model with an adjustment for risk aversion and… … Wikipedia