30 relations: Arrowhead matrix, Binary search algorithm, Bisect, Black–Derman–Toy model, Brent's method, Compact space, Divide and conquer algorithm, Eigenvalue algorithm, Extension (Mac OS), False position method, Flash evaporation, Interval arithmetic, Lehmer–Schur algorithm, List of algorithms, List of mathematics-based methods, List of numerical analysis topics, List of terms relating to algorithms and data structures, Location arithmetic, Newton's method, Numerical analysis, Parametric search, Quantile function, Quantitative analyst, Root-finding algorithm, Sea ice growth processes, Secant method, Shooting method, T-distributed stochastic neighbor embedding, Vincent's theorem, Ziggurat algorithm.
Arrowhead matrix
In the mathematical field of linear algebra, an arrowhead matrix is a square matrix containing zeros in all entries except for the first row, first column, and main diagonal, these entries can be any number.
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Binary search algorithm
In computer science, binary search, also known as half-interval search,logarithmic search, or binary chop, is a search algorithm that finds the position of a target value within a sorted array.
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Bisect
Bisection is the general activity of dividing a geometric figure into two equal parts.
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Black–Derman–Toy model
In mathematical finance, the Black–Derman–Toy model (BDT) is a popular short rate model used in the pricing of bond options, swaptions and other interest rate derivatives; see Lattice model (finance) #Interest rate derivatives.
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Brent's method
In numerical analysis, Brent's method is a root-finding algorithm combining the bisection method, the secant method and inverse quadratic interpolation.
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Compact space
In mathematics, and more specifically in general topology, compactness is a property that generalizes the notion of a subset of Euclidean space being closed (that is, containing all its limit points) and bounded (that is, having all its points lie within some fixed distance of each other).
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Divide and conquer algorithm
In computer science, divide and conquer is an algorithm design paradigm based on multi-branched recursion.
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Eigenvalue algorithm
In numerical analysis, one of the most important problems is designing efficient and stable algorithms for finding the eigenvalues of a matrix.
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Extension (Mac OS)
On the classic Mac OS (the original Apple Macintosh operating system), extensions were small pieces of code that extended the system's functionality.
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False position method
False position method and regula falsi method are two early, and still current, names for a very old method for solving an equation in one unknown.
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Flash evaporation
Flash (or partial) evaporation is the partial vapor that occurs when a saturated liquid stream undergoes a reduction in pressure by passing through a throttling valve or other throttling device.
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Interval arithmetic
Interval arithmetic, interval mathematics, interval analysis, or interval computation, is a method developed by mathematicians since the 1950s and 1960s, as an approach to putting bounds on rounding errors and measurement errors in mathematical computation and thus developing numerical methods that yield reliable results.
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Lehmer–Schur algorithm
In mathematics, the Lehmer–Schur algorithm (named after Derrick Henry Lehmer and Issai Schur) is a root-finding algorithm extending the idea of enclosing roots like in the one-dimensional bisection method to the complex plane.
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List of algorithms
The following is a list of algorithms along with one-line descriptions for each.
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List of mathematics-based methods
This is a list of mathematics-based methods.
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List of numerical analysis topics
This is a list of numerical analysis topics.
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List of terms relating to algorithms and data structures
The NIST Dictionary of Algorithms and Data Structures is a reference work maintained by the U.S. National Institute of Standards and Technology.
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Location arithmetic
Location arithmetic (Latin arithmeticæ localis) is the additive (non-positional) binary numeral systems, which John Napier explored as a computation technique in his treatise Rabdology (1617), both symbolically and on a chessboard-like grid.
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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.
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Numerical analysis
Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).
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Parametric search
In the design and analysis of algorithms for combinatorial optimization, parametric search is a technique invented by for transforming a decision algorithm (does this optimization problem have a solution with quality better than some given threshold?) into an optimization algorithm (find the best solution).
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Quantile function
In probability and statistics, the quantile function specifies, for a given probability in the probability distribution of a random variable, the value at which the probability of the random variable is less than or equal to the given probability.
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Quantitative analyst
A quantitative analyst (or, in financial jargon, a quant) is a person who specializes in the application of mathematical and statistical methods – such as numerical or quantitative techniques – to financial and risk management problems.
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Root-finding algorithm
In mathematics and computing, a root-finding algorithm is an algorithm for finding roots of continuous functions.
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Sea ice growth processes
Sea ice is a complex composite composed primarily of pure ice in various states of crystallization along with air bubbles and included pockets of brine.
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Secant method
In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f. The secant method can be thought of as a finite-difference approximation of Newton's method.
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Shooting method
In numerical analysis, the shooting method is a method for solving a boundary value problem by reducing it to the solution of an initial value problem.
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T-distributed stochastic neighbor embedding
T-distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning algorithm for visualization developed by Laurens van der Maaten and Geoffrey Hinton.
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Vincent's theorem
In mathematics, Vincent's theorem—named after Alexandre Joseph Hidulphe Vincent—is a theorem that isolates the real roots of polynomials with rational coefficients.
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Ziggurat algorithm
The ziggurat algorithm is an algorithm for pseudo-random number sampling.
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Bisection algorithm, Bisection search, Interval bisection, Interval halving, Interval halving converges linearly, Method of bisection.
References
[1] https://en.wikipedia.org/wiki/Bisection_method