To account for noise, we relax the definition of similarity using the maximum weighted co-k-plex relaxation method, which allows dissimilarities among graphs up to a predetermined level. We then formulate the problem as a novel quadratic unconstrained binary optimization problem that can be solved by a quantum annealer. The context of our study is molecular similarity where the presence of noise might be due to regular errors in measuring molecular features. We develop a similarity measure and use it to predict the mutagenicity of a molecule.

Journal of Statistics and Mathematical Sciences an International journal publishing biannually Online on the aspect of Statistics and Mathematical Sciences for an effective scientific reading and public view with an aim to reach the world wide researchers. It is also the study of quantity, space, change and structure.

Statistics is a branch of applied mathematics dealing with comprehension, analysis, assimilation and collection of data. Modern mathematics is dealing with algebraic geometry in association with complex analysis, topology and number theory. The application of statistics in the field of biology is referred to as biostatistics.

Prediction and forecasting are a part of regression analysis where we study the interconnection among variables. The manuscript would be considered under the specific branches of Statistics and Mathematical Sciences Algebra, Trigonometry, Arithmetic, Geometry, Calculus Matrix, Real functions, Complex variables, Differential equations Integration, Global analysis, Probability, Stochastic processes Multivariate, Baysian inference, Regression analysis Econometrics, Statistical Tomography, Decision theory Biostatistics This is an open access journal where one can find scientific research as in form of research articles, review articles, Research papers in algebraic graph theory reports, special issues and short communications where it undergoes a series of steps to attain a standard and a unique scientific piece of research.

The Journal Statistics and Mathematical Sciences is published biannually Online and Print version emphasizing on mathematical studies. We invite researchers, academicians and worldwide scientists to share their research for the global enlightenment and benefit of academic community on an open access platform for one and all.

Biostatistics Biostatistics is the branch of statistics responsible for the proper interpretation of scientific data generated in the biology, public health and other health sciences.

It seeks to distinguish between correlation and causation, and to make valid inferences from known samples about the populations from which they were drawn. Some of our work is focused on specific applications and is done in collaboration with experimental biologists or field ecologists.

The infinitesimal conditions are therefore the result of applying the approach of differential calculus to solving a problem with constraints. There are two ways to formulate the inversion symmetry: Methods and Applications SIGMATopology and its Applications, Journal of Nonlinear and Convex Analysis Decision theory An interdisciplinary approach to determine how decisions are made given unknown variables and an uncertain decision environment framework.

The two main types are differential calculus and integral calculus. Related Journals for Trigonometry: The focus of our work is on integrated modelling, formulation, analysis and numerical algorithms for differential equations, including ODEs, PDEs, integro-differential equations and stochastic DEs.

Of particular interest is the development of innovative discretisation methods and on the approximation of spectral properties of differential operators. Research topics are varied; some examples include the use of computer algebra to analyse integrable systems, the development and analysis of geometric integrators, the design of efficient numerical schemes for multiple scale modelling, stochastic PDEs and quantum lattice dynamics.

Applications arise from diverse areas of science and engineering, including biomedical science, finance, fluid dynamics, material science, molecular dynamics, modelling of neurons, oil reservoir simulation, phase transitions and wave propagation.

Usually the numbers are real numbers. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. It may also mean solving problems where more than one dependent variable is analyzed simultaneously with other variables.

In other words, it is a function that assigns a real number to each member of its domain. Many important function spaces are defined to consist of real functions. In applications, the functions usually represent physical quantities, the derivatives represent their rates of change, and the equation defines a relationship between the two.

This is the probabilistic counterpart to a deterministic process or deterministic system. Econometrics takes economic models and tests them through statistical trials. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.Selected research papers published by 1QBit's team and collaborators.

This is a comprehensive catalog of quantum algorithms. If you notice any errors or omissions, please email me at [email protected] This is a list of important publications in mathematics, organized by field.. Some reasons why a particular publication might be regarded as important: Topic creator β A publication that created a new topic; Breakthrough β A publication that changed scientific knowledge significantly; Influence β A publication which has significantly influenced the world or has had a massive impact on.

Each vector in this sequence is 1/5 the preceding vector. The fact that there is an infinite sequence of vectors determines the shape of the group.

This article itemizes the various lists of mathematics regardbouddhiste.com of these lists link to hundreds of articles; some link only to a few. The template to the right includes links to alphabetical lists of all mathematical articles.

Algorithms, Graph Theory, and Linear Equa-tions in Laplacian Matrices Cuts in Graphs. A large amount of algorithmic research is devoted to ο¬nd-ing algorithms for partitioning the vertices and edges of graphs (see [LR99, Algorithms, Graph Theory.

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List of graph theory topics - Wikipedia