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the Adaptive-Additive Algorithm (or AA algorithm), which derives from a group of adaptive (input-output) algorithms, can be used. The AA algorithm is an
Adaptive-additive_algorithm
Algorithm for phase retrieval
retrieval Fourier optics Holography Adaptive-additive algorithm Gerchberg, R. W.; Saxton, W. O. (1972). "A practical algorithm for the determination of the phase
Gerchberg–Saxton_algorithm
quantization algorithm for lossy compression of high-dimensional vectors for LLMs Video compression Adaptive-additive algorithm (AA algorithm): find the
List_of_algorithms
Techniques to improve network performance
Protocol (TCP) uses one of several congestion control algorithms that include various aspects of an additive increase/multiplicative decrease (AIMD) scheme,
TCP_congestion_control
Discrete Fourier transform algorithm
Cooley–Tukey algorithms is optimal under certain assumptions on the graph of the algorithm (his assumptions imply, among other things, that no additive identities
Fast_Fourier_transform
Signal processing technique to reduce noise
adaptive noise cancelling concept is that it requires no detailed a priori knowledge of the target signal or the interference. The adaptive algorithm
Adaptive_noise_cancelling
Fitting an approximating function to data
trends. Provide analyses that are both flexible and robust. Many different algorithms are used in smoothing, most commonly binning, kernels, and local weighted
Smoothing
Sorting algorithm in Python
Powersort is an adaptive sorting algorithm designed to optimally exploit existing order in the input data with minimal overhead. Powersort is the default
Powersort
Additive process used to make a 3D object
3D printing, also called additive manufacturing, is the construction of a three-dimensional object from a CAD model or a digital 3D model. It can be done
3D_printing
Study of classical optics using Fourier transforms
phase of light intensity in the spatial frequency plane (see adaptive-additive algorithm). If a transmissive object is placed at one focal length in front
Fourier_optics
Adaptive filter algorithm for digital signal processing
Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost
Recursive least squares filter
Recursive_least_squares_filter
Algorithm to multiply matrices
central operation in many numerical algorithms, much work has been invested in making matrix multiplication algorithms efficient. Applications of matrix
Matrix multiplication algorithm
Matrix_multiplication_algorithm
Overview of and topical guide to machine learning
Adaptive neuro fuzzy inference system Adaptive resonance theory Additive smoothing Adjusted mutual information AIVA AIXI AlchemyAPI AlexNet Algorithm
Outline_of_machine_learning
Mathematical and computational problem
Logarithmic Additive Integrality Gap for Bin Packing", Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, pp. 2616–2625
Bin_packing_problem
Non-parametric regression technique
In statistics, multivariate adaptive regression splines (MARS) is a form of regression analysis introduced by Jerome H. Friedman in 1991. It is a non-parametric
Multivariate adaptive regression spline
Multivariate_adaptive_regression_spline
of SOR for symmetric matrices Backfitting algorithm — iterative procedure used to fit a generalized additive model, often equivalent to Gauss–Seidel Modified
List of numerical analysis topics
List_of_numerical_analysis_topics
Iterative design process
illustrated by the algorithm of cellular automata and daylight simulations in adaptive facade design. In addition, genetic algorithms were used with radiation
Generative_design
Telecommunication device that obscures signals
with a pre-defined initial state. The additive descrambler is just the same device as the additive scrambler. Additive scrambler/descrambler is defined by
Scrambler
Adaptive boosting based classification algorithm
AdaBoost (short for Adaptive Boosting) is a statistical classification meta-algorithm formulated by Yoav Freund and Robert Schapire in 1995, who won the
AdaBoost
Statistical model extension
are known. In general, estimation in the generalized additive model requires backfitting algorithm or smooth backfitting to account for the dependencies
Functional_additive_model
Adaptive algorithm
Constant false alarm rate (CFAR) detection is a common form of adaptive algorithm used in radar systems to detect target returns against a background of
Constant_false_alarm_rate
American scientist (born 1939)
introduced by Grossberg in 1976 into Adaptive Resonance Theory and Self-Organizing Maps for the learning of adaptive filters in these models. This learning
Stephen_Grossberg
Iterative method in conformal mapping
analysis, under the name multiplicative Schwarz method (in opposition to additive Schwarz method) as a domain decomposition method. It was first formulated
Schwarz_alternating_method
American control theorist
parameters, Krstić developed adaptive controllers. Krstic applied PDE backstepping to traffic flows with his student Yu and to additive manufacturing with his
Miroslav_Krstić
Model-free reinforcement learning algorithm
Q-learning is a reinforcement learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring
Q-learning
Category of regression analysis
smoothing (see also k-nearest neighbors algorithm) regression trees kernel regression local regression multivariate adaptive regression splines smoothing splines
Nonparametric_regression
Quantum algorithm for solving systems of linear equations
The Harrow–Hassidim–Lloyd (HHL) algorithm is a quantum algorithm for obtaining certain limited information about the solution to a system of linear equations
HHL_algorithm
Digital piano–type sound module
not based on samples, but rather on a type of early additive re-synthesis called "Structured Adaptive®" synthesis. "Munt MT-32 Emulator: LA32WaveGenerator
Roland_MKS-20
Problem of inverting exponentiation in groups
Index calculus algorithm Number field sieve Pohlig–Hellman algorithm Pollard's rho algorithm for logarithms Pollard's kangaroo algorithm (aka Pollard's
Discrete_logarithm
Mathematical modelling alogorithm
(ARIMAD) Multiplicative–Additive (MAA) Objective Computer Clusterization (OCC); Pointing Finger (PF) clusterization algorithm; Analogues Complexing (AC)
Group_method_of_data_handling
Fair division problem for discrete items
of agents with additive valuations. They present efficient algorithms to compute EFM allocations for two agents with general additive valuations, and
Fair_item_allocation
Method for nonparametric multiple regression
Jerome H. Friedman and Werner Stuetzle that extends additive models. This model adapts the additive models in that it first projects the data matrix of
Projection_pursuit_regression
Process for fairly dividing resources
not required that the preferences of the agents are represented by an additive function. The main concept in the proof is the simplex of partitions. Suppose
Envy-free_cake-cutting
American academic in the field of engineering
manufacturing automation, mechatronics, smart manufacturing, robotics, and additive manufacturing. Okwudire is known for contributions to software-based vibration
Chinedum_Okwudire
Image denoising algorithm
Non-local means is an algorithm in image processing for image denoising. Unlike "local mean" filters, which take the mean value of a group of pixels surrounding
Non-local_means
Criterion of fair item allocation
Yami presented: For additive valuations: a proof of existence for 3/4-fraction MMS-fairness. For n=4 additive agents: an algorithm for 4/5-fraction MMS-fairness
Maximin_share
Function used in computer cryptography
schemes secure against adaptive chosen-ciphertext attack Message authentication codes Digital signature schemes (secure against adaptive chosen-message attack)
One-way_function
Dependence of a gene mutation's phenotype on mutations in other genes
decelerate evolution and could represent tradeoffs for adaptive traits. The frustration of adaptive evolution by rugged fitness landscapes was recognized
Epistasis
Acquiescence bias Actuarial science Adapted process Adaptive estimator Additive Markov chain Additive model Additive smoothing Additive white Gaussian noise Adjusted
List_of_statistics_articles
Signal processing algorithm
(multidimensional EMD) is an extension of the one-dimensional (1-D) EMD algorithm to a signal encompassing multiple dimensions. The Hilbert–Huang empirical
Multidimensional empirical mode decomposition
Multidimensional_empirical_mode_decomposition
Algorithm for measuring similarity between temporal sequences
In time series analysis, dynamic time warping (DTW) is an algorithm for measuring similarity between two temporal sequences, which may vary in speed.
Dynamic_time_warping
by Holschneider et al. The basic discrete wavelet transform (DWT) algorithm is adapted to yield a stationary wavelet transform (SWT) which is independent
Stationary_wavelet_transform
Image processing software
a Belgian company specialized in additive manufacturing software and technology for medical, dental and additive manufacturing industries. Materialise
Materialise_Mimics
OPT/(1-e)+1 ≤ (1+2e)OPT+1. The algorithms differ in how they round the instance. Lueker and de-la-Vega and invented the idea of adaptive input rounding. Order
High-multiplicity_bin_packing
Measure of algorithmic complexity
any other algorithm up to an additive constant that depends on the algorithms, but not on the strings themselves. Solomonoff used this algorithm and the
Kolmogorov_complexity
Fair division class using unique allocation methods
additive valuations, its expected egalitarian and utilitarian social welfare are least 1/n of the optimal values attainable by an offline algorithm.
Online_fair_division
American academic
subsethood, additive fuzzy systems, fuzzy approximation theorems, optimal fuzzy rules, fuzzy associative memories, various neural-based adaptive fuzzy systems
Bart_Kosko
Type of plane partition
triangulation and then obtaining its dual. Direct algorithms include Fortune's algorithm, an O(n log(n)) algorithm for generating a Voronoi diagram from a set
Voronoi_diagram
Standardized means of organizing and storing digital images
the MANIAC (Meta-Adaptive Near-zero Integer Arithmetic Coding) entropy encoding algorithm, a variant of the CABAC (context-adaptive binary arithmetic
Image_file_format
Algorithm that estimates unknowns from a series of measurements over time
; Kogon, S.M. (2000). Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering, and Array Processing. McGraw-Hill
Kalman_filter
Cryptographic problem
purpose. The card-generation algorithm requires a cryptosystem with two key properties. The encryption E must be additively homomorphic, so that E(c1)*E(c2)
Mental_poker
Approach to public-key cryptography
points on the curve to the additive group of F q {\displaystyle \mathbb {F} _{q}} . Because all the fastest known algorithms that allow one to solve the
Elliptic-curve_cryptography
Monte Carlo distribution shifting technique
_{\theta }(\eta )\right|_{\eta =0}=\kappa ''(\theta ).} Repeated tilting is additive. That is, tilting first by θ 1 {\displaystyle \theta _{1}} and then θ 2
Exponential_tilting
Subfield of information theory and computer science
Algorithmic information theory (AIT) is a branch of theoretical computer science that concerns itself with the relationship between computation and information
Algorithmic information theory
Algorithmic_information_theory
Statistics and machine learning technique
multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. Unlike
Ensemble_learning
Algorithm for public key cryptography
and named after Pascal Paillier in 1999, is a probabilistic asymmetric algorithm for public key cryptography. The problem of computing n-th residue classes
Paillier_cryptosystem
Generates a forecast of future values of a time series
t = 0 {\textstyle t=0} , and the output of the exponential smoothing algorithm is commonly written as { s t } {\textstyle \{s_{t}\}} , which may be regarded
Exponential_smoothing
AI whose outputs can be understood by humans
intellectual oversight over AI algorithms. The main focus is on the reasoning behind the decisions or predictions made by the AI algorithms, to make them more understandable
Explainable artificial intelligence
Explainable_artificial_intelligence
Form of radar used to create images of landscapes
lenses of conical, cylindrical and spherical shape. The Range-Doppler algorithm is an example of a more recent approach. Synthetic-aperture radar determines
Synthetic-aperture_radar
one item, it is possible to attain fairness using the following simple algorithm (which is a variant of cut and choose): Alice says a price p that she
Fair allocation of items and money
Fair_allocation_of_items_and_money
Ambiguous term in statistics
Expected Calibration Error (ECE). Into the 2020s, variants include the Adaptive Calibration Error (ACE) and the Test-based Calibration Error (TCE), which
Calibration_(statistics)
Constructing product by means of computer
3D printing – Additive process used to make a 3D object Additive Manufacturing File Format – Standard for describing objects for additive manufacturingPages
Computer-aided_design
Method in combinatorics
constraints. Such questions arise naturally in extremal graph theory, additive combinatorics, discrete geometry, coding theory, and Ramsey theory; they
Container_method
Branch of statistics to estimate models based on measured data
samples that consists of an unknown constant A {\displaystyle A} with additive white Gaussian noise (AWGN) w [ n ] {\displaystyle w[n]} with zero mean
Estimation_theory
Use of machine learning to rank items
commonly used to judge how well an algorithm is doing on training data and to compare the performance of different MLR algorithms. Often a learning-to-rank problem
Learning_to_rank
Set of related approximation algorithms for the bin packing problem
{\displaystyle (1+\varepsilon )\mathrm {OPT} +1} . The KK algorithms were the first ones to attain an additive approximation. The input to a bin-packing problem
Karmarkar–Karp bin packing algorithms
Karmarkar–Karp_bin_packing_algorithms
Binary representation for signed numbers
1×2 + 0 = −6. Steps 2 and 3 together are a valid method to compute the additive inverse − n {\displaystyle -n} of any (positive or negative) integer n
Two's_complement
agents. Brandl, Brandt, Peters and Stricker study donor coordination with additive binary (dichotomous) preferences, represented by approval ballots. Formally
Donor_coordination
Designing products to facilitate manufacturing
systems where different types of inspection and maintenance are available. Additive manufacturing broadens the ability of a designer to optimize the design
Design_for_manufacturability
or absent. Delirium is considered present based on the CAM diagnostic algorithm: presence of (acute onset or fluctuating course -AND‐ inattention) ‐AND
Confusion_Assessment_Method
Process of mapping a continuous set to a countable set
Quantization also forms the core of essentially all lossy compression algorithms. The difference between an input value and its quantized value (such as
Quantization (signal processing)
Quantization_(signal_processing)
Engineering discipline focused on robots
require addressing complex mechanical movements, real-time control, and adaptive decision-making through software and AI. Robotics engineering combines
Robotics_engineering
Process of finding a spatial transformation that aligns two point clouds
sub-problems, where the scale TLS problem can be solved exactly using an algorithm called adaptive voting, the rotation TLS problem can relaxed to a semidefinite
Point-set_registration
Filter for nonlinear state estimation
Kalman filter is the optimal linear estimator for linear system models with additive independent white noise in both the transition and the measurement systems
Extended_Kalman_filter
Mathematical function, inverse of an exponential function
commonplace in scientific formulae, and in measurements of the complexity of algorithms and of geometric objects called fractals. They help to describe frequency
Logarithm
French mathematician (born 1944)
Abstract duality for practitioners". Convex analysis and minimization algorithms, Volume II: Advanced theory and bundle methods. Grundlehren der Mathematischen
Ivar_Ekeland
Class of pseudorandom number generators
have been accused of being unreliable. A C version of three xorshift algorithms is given here. The first has one 32-bit word of state, and period 232−1
Xorshift
Prediction of digital video quality
In digital media and the study of algorithms, the structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital
Structural similarity index measure
Structural_similarity_index_measure
Problem in computer science and operations research
the number of goods in the worst case. With additive and identical valuations: The following greedy algorithm finds an allocation whose maximum envy-ratio
Envy_minimization
Method to draw shadows in computer graphic images
http://getlab.org/publications/FIV/ ASM "Adaptive" https://www.cs.cornell.edu/~kb/publications/ASM.pdf AVSM "Adaptive Volumetric" https://web.archive
Shadow_mapping
Algorithm for generating prime numbers
In mathematics, the sieve of Pritchard is an algorithm for finding all prime numbers up to a specified bound. Like the ancient sieve of Eratosthenes,
Sieve_of_Pritchard
Collection of statistical models
the partitioning of sums of squares, experimental techniques and the additive model. Laplace was performing hypothesis testing in the 1770s. Around 1800
Analysis_of_variance
Principle relating genetic variance to fitness
effect in a natural population. Crow, J.F. (2002). "Here's to Fisher, additive genetic variance, and the fundamental theorem of natural selection". Perspective
Fisher's fundamental theorem of natural selection
Fisher's_fundamental_theorem_of_natural_selection
Equations in differential cryptanalysis
an algorithm for deriving x {\displaystyle x} was proposed and analyzed. Solution to an arbitrary set of DEA (either in batch and or in adaptive query
Differential equations of addition
Differential_equations_of_addition
Process of removing noise from a signal
Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree. Noise rejection is the ability
Noise_reduction
Form of sound synthesis
amplitude modulation[citation needed]. Yamaha's engineers began adapting Chowning's algorithm for use in a commercial digital synthesizer, adding improvements
Frequency modulation synthesis
Frequency_modulation_synthesis
Method for reducing unwanted sound
processing. Adaptive algorithms are designed to analyze the waveform of the background aural or nonaural noise, then, based on the specific algorithm, generate
Active_noise_control
Field of electrical engineering
Examples of algorithms are the fast Fourier transform (FFT), finite impulse response (FIR) filter, Infinite impulse response (IIR) filter, and adaptive filters
Signal_processing
Intelligence in machines
learning algorithms, enabling them to improve their performance over time through experience or training. Using machine learning, AI agents can adapt to new
Artificial_intelligence
Signal processing computational method
(ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that at most one subcomponent is
Independent component analysis
Independent_component_analysis
Statistical task that deconstructs a time series into several components
after the other components have been removed. Hence a time series using an additive model can be thought of as y t = T t + C t + S t + I t , {\displaystyle
Decomposition_of_time_series
Problem in social choice
time and polynomial-time algorithms when some natural paramerters are fixed. They propose an algorithm that achieves an additive approximation for restricted
Combinatorial participatory budgeting
Combinatorial_participatory_budgeting
Algorithms for matrix decomposition
processing. There are many algorithms for denoising if the noise is stationary. For example, the Wiener filter is suitable for additive Gaussian noise. However
Non-negative matrix factorization
Non-negative_matrix_factorization
American geneticist
theory for covariance between relatives in crossbred populations under additive and dominance gene action, providing the basis for genetic evaluation and
Rohan_Fernando_(geneticist)
Type of fair division
indivisible elements with positive value. The valuations of the partners are additive, i.e., when a piece is divided, the value of the piece is equal to the
Proportional_cake-cutting
Type of Monte Carlo algorithms for signal processing and statistical inference
these filtering algorithms. However, it can be mitigated by including a resampling step before the weights become uneven. Several adaptive resampling criteria
Particle_filter
System where changes of output are not proportional to changes of input
homogeneity does not follow from additivity. For example, an antilinear map is additive but not homogeneous. The conditions of additivity and homogeneity are often
Nonlinear_system
procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows
Common_spatial_pattern
Use of software to control industrial processes
impossible to machine with only three axis machines. Manufacturing portal Additive Manufacturing Computer-integrated manufacturing (CIM) Digital modeling
Computer-aided_manufacturing
notion should hold for any additive utility function that is compatible with the ranking). They show polytime algorithms for the following combinations
Temporal_fair_division
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ADAPTIVE ADDITIVE-ALGORITHM
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