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PAIRWISE TESTING

  • Pairwise testing
  • Topics referred to by the same term

    Pairwise testing may refer to: All-pairs testing Pairwise comparison Paired difference test This disambiguation page lists articles associated with the

    Pairwise testing

    Pairwise_testing

  • All-pairs testing
  • Software testing method

    In computer science, all-pairs testing or pairwise testing is a combinatorial method of software testing that, for each pair of input parameters to a

    All-pairs testing

    All-pairs_testing

  • Pairwise
  • Topics referred to by the same term

    entities to determine which is preferred All-pairs testing, also known as pairwise testing, a software testing method. This disambiguation page lists mathematics

    Pairwise

    Pairwise

  • F-test
  • Statistical hypothesis test

    particular set of comparisons "pairwise comparisons"-all possible comparisons i.e. Fisher's least significant difference (LSD) test, Tukey's honestly significant

    F-test

    F-test

    F-test

  • Concurrent testing
  • that pairwise testing from a resource usage perspective could be applied to reveal deadlocks. Software testing Scalability testing Load testing Software

    Concurrent testing

    Concurrent_testing

  • Tukey's range test
  • Statistical test for multiple comparisons

    other treatment; that is, it applies simultaneously to the set of all pairwise comparisons μ i − μ j   , {\displaystyle \mu _{i}-\mu _{j}\ ,} and identifies

    Tukey's range test

    Tukey's_range_test

  • James D. McCaffrey
  • American research software engineer

    D. and Czerwonka, J., "An Empirical Study of the Effectiveness of Pairwise Testing", Proceedings of the 2009 International Conference on Software Engineering

    James D. McCaffrey

    James_D._McCaffrey

  • Kruskal–Wallis test
  • Non-parametric method for testing whether samples originate from the same distribution

    testing. pairwise.wilcox.test(airquality$Ozone, airquality$Month, p.adjust.method = "bonferroni") Pairwise comparisons using Wilcoxon rank sum test data:

    Kruskal–Wallis test

    Kruskal–Wallis test

    Kruskal–Wallis_test

  • Bounding volume hierarchy
  • Graphics structure

    result in significant performance improvements, the same number of pairwise tests between bounding volumes are still being performed. By arranging the

    Bounding volume hierarchy

    Bounding_volume_hierarchy

  • Fisher's least significant difference
  • Post-hoc statistical test for pairwise comparisons

    rate. Pairwise comparisons: if the omnibus F-test from step 1 is significant, pairwise t-tests are conducted for all pairs of groups. These tests use a

    Fisher's least significant difference

    Fisher's_least_significant_difference

  • W-test
  • Sham and Benny Chung-Ying Zee (2016). A fast and powerful W-test for pairwise epistasis testing. Nucleic Acids Research. doi:10.1093/nar/gkw347 http://www2

    W-test

    W-test

  • Paired difference test
  • Type of location test in statistical analysis

    confounding variables by forming "artificial pairs" and performing a pairwise difference test. These artificial pairs are constructed based on additional variables

    Paired difference test

    Paired_difference_test

  • Duncan's new multiple range test
  • Multiple comparison procedure

    which has a non-significant range. The procedure consists of a series of pairwise comparisons between means. Each comparison is performed at a significance

    Duncan's new multiple range test

    Duncan's_new_multiple_range_test

  • Coprime integers
  • Two numbers without shared prime factors

    the set is said to be pairwise coprime (or pairwise relatively prime, mutually coprime or mutually relatively prime). Pairwise coprimality is a stronger

    Coprime integers

    Coprime_integers

  • Nucleic acid test
  • Group of techniques to detect a particular nucleic acid sequence

    acid (DNA and RNA) strands with corresponding sequences stick together in pairwise chains. But each node of the chain is not very sticky, so the double-stranded

    Nucleic acid test

    Nucleic acid test

    Nucleic_acid_test

  • Generalized pairwise comparisons
  • Statistical methodology

    an extension of classical pairwise comparison procedures, including the Wilcoxon rank-sum test and the Mann–Whitney U test, allowing comparisons to incorporate

    Generalized pairwise comparisons

    Generalized_pairwise_comparisons

  • Yosef Hochberg
  • Israeli statistician (1945–2013)

    Michele; Hochberg, Yosef (1 January 1987). "Sequentially rejective pairwise testing procedures". Journal of Statistical Planning and Inference. 17: 193–208

    Yosef Hochberg

    Yosef_Hochberg

  • Mann–Whitney U test
  • Nonparametric test of the null hypothesis

    of the U statistic, which corresponds to the number of wins out of all pairwise contests (see the tortoise and hare example under Examples below). For

    Mann–Whitney U test

    Mann–Whitney_U_test

  • Pairwise comparison (psychology)
  • Process of comparing two entities to determine preference

    Pairwise comparison generally is any process of comparing entities in pairs to judge which of each entity is preferred, or has a greater amount of some

    Pairwise comparison (psychology)

    Pairwise_comparison_(psychology)

  • Cochran's Q test
  • Statistical test

    rejected if the test statistic is in the critical region. If the Cochran test rejects the null hypothesis of equally effective treatments, pairwise multiple

    Cochran's Q test

    Cochran's_Q_test

  • Wilcoxon signed-rank test
  • Statistical hypothesis test

    The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based

    Wilcoxon signed-rank test

    Wilcoxon_signed-rank_test

  • Friedman test
  • Non-parametric statistical test

    Grotenhuis (2017) provide an exact test for pairwise comparison of Friedman rank sums, implemented in R. The Eisinga c.s. exact test offers a substantial improvement

    Friedman test

    Friedman_test

  • Dunnett's test
  • Statistical procedure

    of pairwise comparisons. Tukey's and Scheffé's methods allow any number of comparisons among a set of sample means. On the other hand, Dunnett's test only

    Dunnett's test

    Dunnett's_test

  • Post hoc analysis
  • Statistical analyses that were not specified before the data were seen

    categories of post hoc analyses include: Pairwise comparisons: Tests all possible pairs Trend analysis: Tests for linear or quadratic trends across ordered

    Post hoc analysis

    Post_hoc_analysis

  • Independence (probability theory)
  • When the occurrence of one event does not affect the likelihood of another

    notions of independence need to be distinguished. The events are called pairwise independent if any two events in the collection are independent of each

    Independence (probability theory)

    Independence (probability theory)

    Independence_(probability_theory)

  • Tajima's D
  • Population genetic test statistic

    difference between two measures of genetic diversity: the mean number of pairwise differences and the number of segregating sites, each scaled so that they

    Tajima's D

    Tajima's_D

  • False positive rate
  • Chance of wrongly rejecting the null hypothesis

    outcomes when testing multiple null hypotheses. Suppose we have a number m of null hypotheses, denoted by: H1, H2, ..., Hm. Using a statistical test, we reject

    False positive rate

    False_positive_rate

  • Bradley–Terry model
  • Statistical model for pairwise comparisons

    The Bradley–Terry model is a probability model for the outcome of pairwise comparisons between items, teams, or objects. Given a pair of items i and j

    Bradley–Terry model

    Bradley–Terry_model

  • Chinese remainder theorem
  • About simultaneous modular congruences

    the product of these integers, under the condition that the divisors are pairwise coprime (no two divisors share a common factor other than 1). The theorem

    Chinese remainder theorem

    Chinese remainder theorem

    Chinese_remainder_theorem

  • Omnibus test
  • Statistical test of variance

    in power. The first test in a pairwise MCP, such as that of the most disparate means in Tukey's test, is a form of omnibus test all by itself, controlling

    Omnibus test

    Omnibus_test

  • MNIST database
  • Database of handwritten digits

    half of the test set were taken from NIST's testing dataset. The original creators of the database keep a list of some of the methods tested on it. In their

    MNIST database

    MNIST database

    MNIST_database

  • Analysis of variance
  • Collection of statistical models

    hypothesis testing, the partitioning of sums of squares, experimental techniques and the additive model. Laplace was performing hypothesis testing in the

    Analysis of variance

    Analysis_of_variance

  • Family-wise error rate
  • Probability of making type I errors when performing multiple hypotheses tests

    when performing multiple hypotheses tests. FWER is a metric that quantifies the risk caused by multiple testing. It's the probability of making one or

    Family-wise error rate

    Family-wise_error_rate

  • Complementation (genetics)
  • Genetic process

    frequencies to form a genetic map of the gene. Separately, the mutants were tested in pairwise combinations to measure complementation. An analysis of the results

    Complementation (genetics)

    Complementation_(genetics)

  • Glossary of computer science
  • occurs after unit testing and before validation testing. Integration testing takes as its input modules that have been unit tested, groups them in larger

    Glossary of computer science

    Glossary_of_computer_science

  • NASA-TLX
  • Assessment tool

    task load index. Many researchers eliminate these pairwise comparisons, though, and refer to the test as "Raw TLX" then. There has been evidence evaluating

    NASA-TLX

    NASA-TLX

  • Collision detection
  • Term in computer science

    multiple objects, a naive approach would require detecting collisions for all pairwise combinations of objects. As the number of objects increases, the number

    Collision detection

    Collision_detection

  • Reinforcement learning from human feedback
  • Machine learning technique

    converting them into pairwise comparisons for prediction purposes. In the online scenario, when human feedback is collected through pairwise comparisons under

    Reinforcement learning from human feedback

    Reinforcement learning from human feedback

    Reinforcement_learning_from_human_feedback

  • Alignment-free sequence analysis
  • Methods in computational biology

    sequence analysis were based on sequence alignment either global or local, pairwise or multiple sequence alignment. Alignment-based approaches generally give

    Alignment-free sequence analysis

    Alignment-free_sequence_analysis

  • Scheffé's method
  • Multiple comparison method in statistics

    estimates of all possible contrasts among the factor level means, not just the pairwise differences considered by the Tukey–Kramer method. It works on similar

    Scheffé's method

    Scheffé's_method

  • Win statistics
  • generalised pairwise comparisons (GPC) framework, a generalisation of the theory underpinning the Finkelstein-Schoenfeld test. The Finkelstein-Schoenfeld test and

    Win statistics

    Win_statistics

  • Data dredging
  • Misuse of data analysis

    Lastly, a statistical significance test is carried out to see how likely the results are by chance alone (also called testing against the null hypothesis).

    Data dredging

    Data dredging

    Data_dredging

  • Main effect
  • main effect test is nonspecific and will not allow for a localization of specific mean pairwise comparisons (simple effects). A main effect test will merely

    Main effect

    Main_effect

  • Sequence alignment
  • Process in bioinformatics that identifies equivalent sites within molecular sequences

    to electronic processing, its practical application remains under testing. Pairwise sequence alignment methods are used to find the best-matching piecewise

    Sequence alignment

    Sequence alignment

    Sequence_alignment

  • Spearman's rank correlation coefficient
  • Nonparametric measure of rank correlation

    are incorporated). Stata implementation: spearman varlist calculates all pairwise correlation coefficients for all variables in varlist. MATLAB implementation:

    Spearman's rank correlation coefficient

    Spearman's rank correlation coefficient

    Spearman's_rank_correlation_coefficient

  • Factorization of polynomials over finite fields
  • univariate polynomial f, of degree n, over a finite field Fq, which has r ≥ 2 pairwise distinct irreducible factors f 1 , … , f r {\displaystyle f_{1},\ldots

    Factorization of polynomials over finite fields

    Factorization_of_polynomials_over_finite_fields

  • Haplotype
  • Group of genes from one parent

    parents. Normally these organisms have their DNA organized in two sets of pairwise similar chromosomes. The offspring gets one chromosome in each pair from

    Haplotype

    Haplotype

    Haplotype

  • Newman–Keuls method
  • Statistical test for multiple comparisons

    almost equivalent to two Student t tests testing μ1=μ2 and μ3=μ4 at nominal type I error rate alpha, without multiple testing procedure; therefore the FWER

    Newman–Keuls method

    Newman–Keuls_method

  • Multivariate normal distribution
  • Generalization of the one-dimensional normal distribution to higher dimensions

    independent. This implies that any two or more of its components that are pairwise independent are independent. But, as pointed out just above, it is not

    Multivariate normal distribution

    Multivariate normal distribution

    Multivariate_normal_distribution

  • Bienaymé's identity
  • Formula on random variables

    j=1i<jnCov⁡(Xi,Xj)=∑i,j=1nCov⁡(Xi,Xj). This can be simplified if X1,…,Xn are pairwise independent or just uncorrelated, integrable random variables, each with

    Bienaymé's identity

    Bienaymé's identity

    Bienaymé's_identity

  • Net treatment benefit
  • builds on the development of methods for comparing treatment outcomes using pairwise comparisons. Finkelstein and Schoenfeld (1999) proposed a method for combining

    Net treatment benefit

    Net_treatment_benefit

  • Distance matrix
  • Square matrix containing the distances between elements in a set

    square matrix (two-dimensional array) containing the distances, taken pairwise, between the elements of a set. Depending upon the application involved

    Distance matrix

    Distance_matrix

  • Greenberger–Horne–Zeilinger state
  • "Highly entangled" quantum state of 3 or more qubits

    Bouwmeester; M. Daniell; H. Weinfurter; A. Zeilinger (2000). "Experimental test of quantum nonlocality in three-photon GHZ entanglement". Nature. 403 (6769):

    Greenberger–Horne–Zeilinger state

    Greenberger–Horne–Zeilinger state

    Greenberger–Horne–Zeilinger_state

  • Pardo Brazilians
  • Ethnicity in South America

    used to infer genetic ancestry in Brazilians with an admixture model. Pairwise estimates of F(st) among the five Brazilian geopolitical regions suggested

    Pardo Brazilians

    Pardo Brazilians

    Pardo_Brazilians

  • Cophenetic correlation
  • Statistical measure of a dendrogram's faithfulness to the data

    coefficient) is a measure of how faithfully a dendrogram preserves the pairwise distances between the original unmodeled data points. Although it has been

    Cophenetic correlation

    Cophenetic_correlation

  • 2-satisfiability
  • Logic problem, AND of pairwise ORs

    for solving constraint satisfaction problems with binary variables and pairwise constraints. They apply this technique to a problem of classroom scheduling

    2-satisfiability

    2-satisfiability

  • Graph theory
  • Area of discrete mathematics

    is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices

    Graph theory

    Graph theory

    Graph_theory

  • Decision tree learning
  • Machine learning algorithm

    of regression tree can be extended to any kind of object equipped with pairwise dissimilarities such as categorical sequences. Decision trees are among

    Decision tree learning

    Decision_tree_learning

  • Whole genome sequencing
  • Sequencing all the DNA of an individual at once

    genomes was already in use in 1979, broader application benefited from pairwise end sequencing, known colloquially as double-barrel shotgun sequencing

    Whole genome sequencing

    Whole genome sequencing

    Whole_genome_sequencing

  • Arlequin (software)
  • disequilibrium, analysis of molecular variance, mismatch distribution, and pairwise difference tests. The software is designed to be able to handle different kinds

    Arlequin (software)

    Arlequin_(software)

  • Mathematical proof
  • Reasoning for mathematical statements

    are pairwise equivalent. In order to prove that the statements φ 1 , … , φ n {\displaystyle \varphi _{1},\ldots ,\varphi _{n}} are each pairwise equivalent

    Mathematical proof

    Mathematical proof

    Mathematical_proof

  • Block design
  • Structure in combinatorial mathematics

    pair of elements is found in the same number of blocks and the design is pairwise balanced. For t = 1, each element occurs in the same number of blocks (the

    Block design

    Block_design

  • Twin study
  • Type of human genetic study conducted on twins

    the newer methods allow for explicit testing of the role of different pathways and incorporation and testing of complex effects. Results of twin studies

    Twin study

    Twin study

    Twin_study

  • Analytic hierarchy process
  • Structured technique for organizing and analyzing complex decisions

    it through a series of pairwise comparisons that derive numerical scales of measurement for the nodes. The criteria are pairwise compared against the goal

    Analytic hierarchy process

    Analytic hierarchy process

    Analytic_hierarchy_process

  • Analytic hierarchy process – car example
  • Worked example of using the Analytic Hierarchy Process to choose a car

    fifteen comparisons for each of the eight covering criteria. When the pairwise comparisons are as numerous as those in our example, specialized AHP software

    Analytic hierarchy process – car example

    Analytic_hierarchy_process_–_car_example

  • Byzantine fault
  • Fault in a computer system that presents different symptoms to different observers

    using multiple general-purpose computers that would communicate through pairwise messaging in order to reach a consensus, even if some of the computers

    Byzantine fault

    Byzantine_fault

  • Multiple sequence alignment
  • Alignment of more than two molecular sequences

    Multiple sequence alignments require more sophisticated methodologies than pairwise alignments, as they are more computationally complex. Most multiple sequence

    Multiple sequence alignment

    Multiple sequence alignment

    Multiple_sequence_alignment

  • Independence of clones criterion
  • Property of electoral systems

    clones competes. The preferences would be: The Kemeny method arranges the pairwise comparison counts in the following tally table: The ranking scores of all

    Independence of clones criterion

    Independence_of_clones_criterion

  • Zipf's law
  • Probability distribution

    Toby (2011). Evaluation of the suitability of a Zipfian gap model for pairwise sequence alignment (PDF). International Conference on Bioinformatics Computational

    Zipf's law

    Zipf's law

    Zipf's_law

  • Grok (chatbot)
  • Large language model family by SpaceXAI

    silent rollout (1–14 November 2025) during which SpaceXSI reported blind pairwise evaluations on live traffic and used feedback to refine the model's behavior

    Grok (chatbot)

    Grok (chatbot)

    Grok_(chatbot)

  • Thompson sampling
  • Type of heuristic technique

    bandits, a variant of traditional MAB, where feedback comes in the form of pairwise comparison. Probability matching is a decision strategy in which predictions

    Thompson sampling

    Thompson sampling

    Thompson_sampling

  • Quantum logic gate
  • Basic circuit in quantum computing

    also with n qubits initialized to | 0 ⟩ {\displaystyle |0\rangle } and pairwise CNOT its qubits with the qubits in register A, such that for each p the

    Quantum logic gate

    Quantum logic gate

    Quantum_logic_gate

  • 1000minds
  • Paul Hansen at the University of Otago, the PAPRIKA method is based on pairwise comparisons, as illustrated in the accompanying image. An AI assistant

    1000minds

    1000minds

  • G factor (psychometrics)
  • Psychometric factor also known as "general intelligence"

    tetrad differences, demonstrated by Spearman in 1924. It states that the pairwise products of two sets of correlations are equal–that is, their difference

    G factor (psychometrics)

    G_factor_(psychometrics)

  • Coefficient of variation
  • Relative measure of dispersion expressed as the ratio of standard deviation to the mean

    relies on squared pairwise differences (making it highly sensitive to extreme outliers), the Gini coefficient relies on absolute pairwise differences, making

    Coefficient of variation

    Coefficient_of_variation

  • Kemeny method
  • Single-winner electoral system

    The Kemeny method is an electoral system that uses ranked ballots and pairwise comparison counts to identify the most popular choices in an election. It

    Kemeny method

    Kemeny_method

  • Law of comparative judgment
  • described as a model that is used to obtain measurements from any process of pairwise comparison. Examples of such processes are the comparisons of perceived

    Law of comparative judgment

    Law_of_comparative_judgment

  • Schwinger function
  • Euclidean Wightman distributions

    restricted to ordered n-tuples in R d {\displaystyle \mathbb {R} ^{d}} that are pairwise distinct. These functions are called the Schwinger functions (named after

    Schwinger function

    Schwinger_function

  • Cell lists
  • the pairwise distances computed, only about 16% will actually be less than or equal to r c {\displaystyle r_{c}} . In other words, 84% of all pairwise distance

    Cell lists

    Cell_lists

  • Scatter plot
  • Plot using the dispersal of scattered dots to show the relationship between variables

    variables (dimensions) X1, X2, ... , Xk, the scatter plot matrix shows all the pairwise scatter plots of the variables on a single view with multiple scatter plots

    Scatter plot

    Scatter plot

    Scatter_plot

  • Axiom of choice
  • Axiom of set theory

    set X, if the empty set is not an element of X and the elements of X are pairwise disjoint, then there exists a set C such that its intersection with any

    Axiom of choice

    Axiom of choice

    Axiom_of_choice

  • Semantic similarity
  • Concept in natural language processing

    Other measures calculate the similarity between ontological instances: Pairwise: measure functional similarity between two instances by combining the semantic

    Semantic similarity

    Semantic_similarity

  • Robust measures of scale
  • Statistical indicators of the deviation of a sample

    Alternatives robust estimators have also been developed, such as those based on pairwise differences and biweight midvariance. These robust statistics are particularly

    Robust measures of scale

    Robust_measures_of_scale

  • Signal (software)
  • Privacy-focused encrypted messaging app

    end-to-end encrypted group chats. The group chat protocol is a combination of a pairwise double ratchet and multicast encryption. In addition to the properties

    Signal (software)

    Signal (software)

    Signal_(software)

  • Residue number system
  • Multi-modular arithmetic

    a numeral system representing integers by their values modulo several pairwise coprime integers called the moduli. This representation is allowed by the

    Residue number system

    Residue_number_system

  • Multivariate statistics
  • Simultaneous observation and analysis of more than one outcome variable

    algorithms to determine a set of synthetic variables that best represent the pairwise distances between records. The original method is principal coordinates

    Multivariate statistics

    Multivariate_statistics

  • Exploratory causal analysis
  • Field in statistics pertaining to establishing cause and effect

    (a variant of the original PC algorithm) and in dynamical systems using pairwise asymmetric inference (a variant of convergent cross mapping). There is

    Exploratory causal analysis

    Exploratory_causal_analysis

  • 3SUM
  • Problem in computational complexity theory

    S} as a bit vector, computing the set S + S {\displaystyle S+S} of all pairwise sums as a discrete convolution using the fast Fourier transform, and finally

    3SUM

    3SUM

  • Listwise deletion
  • Statistical method for handling missing data

    any further analysis. Listwise deletion affects statistical power of the tests conducted. Statistical power relies in part on high sample size. Because

    Listwise deletion

    Listwise deletion

    Listwise_deletion

  • Isochrony
  • Rhythmic division of time in spoken language

    durations of vowels in adjacent syllables, it is possible to calculate a Pairwise Variability Index (PVI) from measured vowel durations to quantify the differences

    Isochrony

    Isochrony

  • Fast Fourier transform
  • Discrete Fourier transform algorithm

    Cooley–Tukey, have excellent numerical properties as a consequence of the pairwise summation structure of the algorithms. The upper bound on the relative

    Fast Fourier transform

    Fast Fourier transform

    Fast_Fourier_transform

  • Compact letter display
  • Convention for reporting statistical results

    multiple hypothesis testing when using the ANOVA and Tukey's range tests. CLD can also be applied following the Duncan's new multiple range test (which is similar

    Compact letter display

    Compact_letter_display

  • Receiver operating characteristic
  • Diagnostic plot of binary classifier ability

    classes are (1) average over all pairwise AUC values and (2) compute the volume under surface (VUS). To average over all pairwise classes, one computes the AUC

    Receiver operating characteristic

    Receiver operating characteristic

    Receiver_operating_characteristic

  • Epitope binning
  • Healthcare test

    protein. Antibodies against a similar target are tested against all other antibodies in the library in a pairwise fashion to see if antibodies block one another's

    Epitope binning

    Epitope_binning

  • Central limit theorem
  • Fundamental theorem in probability theory and statistics

    still, they need not be independent, nor even pairwise independent.[citation needed] By the way, pairwise independence cannot replace independence in the

    Central limit theorem

    Central limit theorem

    Central_limit_theorem

  • Distance correlation
  • Statistical measure

    compute the n by n distance matrices (aj, k) and (bj, k) containing all pairwise distances a j , k = ‖ X j − X k ‖ , j , k = 1 , 2 , … , n , b j , k = ‖

    Distance correlation

    Distance correlation

    Distance_correlation

  • Passing–Bablok regression
  • Medical statistical method

    estimator b {\displaystyle b} is the median of the absolute values of all pairwise slopes. The original algorithm is rather slow for larger data sets as its

    Passing–Bablok regression

    Passing–Bablok_regression

  • Iris flower data set
  • Statistics dataset

    with information about the data set ?iris # Create scatterplots of all pairwise combination of the 4 variables in the data set pairs(iris[1:4], main="Iris

    Iris flower data set

    Iris flower data set

    Iris_flower_data_set

  • Quantum logic
  • Theory of logic to account for observations from quantum theory

    symbols, this means that for any sequence {Si}i of pairwise-disjoint Borel subsets of R, {φ(Si)}i are pairwise-orthogonal propositions (elements of Q) and φ

    Quantum logic

    Quantum_logic

  • Galadriel
  • Character in J. R. R. Tolkien's Middle-earth

    the interactions of the characters as fitting the oppositions and other pairwise relationships of Jungian archetypes, recurring psychological symbols proposed

    Galadriel

    Galadriel

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