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Selection: with tag mathematics [72 articles] 

 

Percentiles

  
In NIST/SEMATECH e-Handbook of Statistical Methods (2012), 7.2.6.2

Abstract

[Excerpt: Definitions of order statistics and ranks] For a series of measurements Y1, …, YN, denote the data ordered in increasing order of magnitude by Y〈1〉, …, Y〈N〉. These ordered data are called order statistics. If Y〈j〉 is the order statistic that corresponds to the measurement Yᵢ, then the rank for Yᵢ is j; i.e., [::] Y〈j〉 ∼ Yᵢ, rᵢ=j. [Definition of percentiles] Order statistics provide a way of estimating proportions of the data that should fall above and below a ...

 

Sample quantiles in statistical packages

  
The American Statistician, Vol. 50, No. 4. (1 November 1996), pp. 361-365, https://doi.org/10.1080/00031305.1996.10473566

Abstract

There are a large number of different definitions used for sample quantiles in statistical computer packages. Often within the same package one definition will be used to compute a quantile explicitly, while other definitions may be used when producing a boxplot, a probability plot, or a QQ plot. We compare the most commonly implemented sample quantile definitions by writing them in a common notation and investigating their motivation and some of their properties. We argue that there is a need to ...

 

Detecting long-range correlations with detrended fluctuation analysis

  
Physica A: Statistical Mechanics and its Applications, Vol. 295, No. 3-4. (June 2001), pp. 441-454, https://doi.org/10.1016/s0378-4371(01)00144-3

Abstract

We examine the detrended fluctuation analysis (DFA), which is a well-established method for the detection of long-range correlations in time series. We show that deviations from scaling which appear at small time scales become stronger in higher orders of DFA, and suggest a modified DFA method to remove them. The improvement is necessary especially for short records that are affected by non-stationarities. Furthermore, we describe how crossovers in the correlation behavior can be detected reliably and determined quantitatively and show how ...

 

Statistical significance of seasonal warming/cooling trends

  
Proceedings of the National Academy of Sciences, Vol. 114, No. 15. (11 April 2017), pp. E2998-E3003, https://doi.org/10.1073/pnas.1700838114

Abstract

[Significance] The question whether a seasonal climatic trend (e.g., the increase of spring temperatures in Antarctica in the last decades) is of anthropogenic or natural origin is of great importance because seasonal climatic trends may considerably affect ecological systems, agricultural yields, and human societies. Previous studies assumed that the seasonal records can be treated as independent and are characterized by short-term memory only. Here we show that both assumptions, which may lead to a considerable overestimation of the trend significance, do not ...

 

General variational approach to the interpolation problem

  
Computers & Mathematics with Applications, Vol. 16, No. 12. (1988), pp. 983-992, https://doi.org/10.1016/0898-1221(88)90255-6

Abstract

The Talmi and Gilat variational approach to the interpolation problem in arbitrary dimension is presented together with the corresponding physical model. The connection of this approach to some known spline methods is demonstrated and new interpolation functions are derived for one-, two- and three-dimensional cases. They are designed to be flexible through the use of meaningful parameters and to give good approximations of both the function itself and its derivatives as well. ...

 

Smooth interpolation of scattered data by local thin plate splines

  
Computers & Mathematics with Applications, Vol. 8, No. 4. (1982), pp. 273-281, https://doi.org/10.1016/0898-1221(82)90009-8

Abstract

An algorithm and the corresponding computer program for solution of the scattered data interpolation problem is described. Given points (xk, yk, fk), k = 1,…,N a locally defined function F(x, y) which has the property F(xk, yk) = fk, k = 1,…,N is constructed. The algorithm is based on a weighted sum of locally defined thin plate splines, and yields an interpolation function which is differentiable. The program is available from the author. ...

 

Multivariate binary discrimination by the kernel method

  
Biometrika, Vol. 63, No. 3. (1 December 1976), pp. 413-420, https://doi.org/10.1093/biomet/63.3.413

Abstract

An extension of the kernel method of density estimation from continuous to multivariate binary spaces is described. Its simple nonparametric nature together with its consistency properties make it an attractive tool in discrimination problems, with some advantages over already proposed parametric counterparts. The method is illustrated by an application to a particular medical diagnostic problem. Simple extensions of the method to categorical data and to data of mixed binary and continuous form are indicated. ...

 

Can one take the logarithm or the sine of a dimensioned quantity or a unit? Dimensional analysis involving transcendental functions

  
Journal of Chemical Education, Vol. 88, No. 1. (1 January 2011), pp. 67-70, https://doi.org/10.1021/ed1000476

Abstract

The fate of dimensions of dimensioned quantities that are inserted into the argument of transcendental functions such as logarithms, exponentiation, trigonometric, and hyperbolic functions is discussed. Emphasis is placed on common misconceptions that are not often systematically examined in undergraduate courses of physical sciences. The argument of dimensional inhomogeneity of the terms of a Taylor expansion of a transcendental function presented in some nonpeer-reviewed popular Internet sites is shown to be false. ...

 

Globally effective questioning in the Analytic Hierarchy Process

  
European Journal of Operational Research, Vol. 48, No. 1. (September 1990), pp. 88-97, https://doi.org/10.1016/0377-2217(90)90065-j

Abstract

A drawback in the use of the Analytic Hierarchy Process (AHP) is the effort required to complete all pairwise comparisons in large hierarchies. The Incomplete Pairwise Comparison (IPC) technique developed by Harker [1,2] aims at reducing this effort by ordering the questions in decreasing informational value and by stopping the process when added value of questions decreases below a certain level. This paper proposes further opportunities for effort reduction through globally effective elicitation process. A simple example demonstrates impressive savings in ...

 

Towards a web-based collaborative weighting method in project

  
In IEEE International Conference on Systems, Man and Cybernetics (2002), 6, https://doi.org/10.1109/icsmc.2002.1173335

Abstract

For the purpose of a product design or a project in general, weighting a set of comparable criteria has been proven to be of utmost importance (e.g. weighting product functions in value analysis - VA -, and allocating a budget in a Design-To-Cost project). Moreover the weighting problem is related to basic properties in the field of Multi-Criteria Decision Analysis (MCDA) through the notions of ordinal transitivity and rationality in the designers' mind. How should designers or project agents decide in ...

 

ePiX tutorial and reference manual

  
(2008)

Abstract

[Excerpt: Introduction] ePiX, a collection of batch utilities, creates mathematically accurate figures, plots, and animations containing LATEX typography. The input syntax is easy to learn, and the user interface resembles that of LATEX itself: You prepare a scene description in a text editor, then “compile” the input file into a picture. LATEX- and web-compatible output types include a LATEX picture-like environment written with PSTricks, tikz, or eepic macros; vector images (eps, ps, and pdf); and bitmapped images and movies (png, mng, and gif). [\n] ePiX’s strengths include: [::] Quality of ...

 

Partial distance correlation with methods for dissimilarities

  
The Annals of Statistics, Vol. 42, No. 6. (December 2014), pp. 2382-2412, https://doi.org/10.1214/14-aos1255

Abstract

Distance covariance and distance correlation are scalar coefficients that characterize independence of random vectors in arbitrary dimension. Properties, extensions and applications of distance correlation have been discussed in the recent literature, but the problem of defining the partial distance correlation has remained an open question of considerable interest. The problem of partial distance correlation is more complex than partial correlation partly because the squared distance covariance is not an inner product in the usual linear space. For the definition of partial ...

 

Energy distance

  
Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 8, No. 1. (January 2016), pp. 27-38, https://doi.org/10.1002/wics.1375

Abstract

Energy distance is a metric that measures the distance between the distributions of random vectors. Energy distance is zero if and only if the distributions are identical, thus it characterizes equality of distributions and provides a theoretical foundation for statistical inference and analysis. Energy statistics are functions of distances between observations in metric spaces. As a statistic, energy distance can be applied to measure the difference between a sample and a hypothesized distribution or the difference between two or more samples ...

 

optiminterp

  
In Free Software Directory (July 2009)

Abstract

An optimal interpolation toolbox for Octave. This package provides functions to perform a n-dimensional optimal interpolations of arbitrarily distributed data points ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 20

  
(February 2014)
Keywords: inrmm-list-of-tags   liquidambar-styraciflua   liriodendron-spp   liriodendron-tulipifera   list   literate-programming   lithocarpus-densiflorus   lithocarpus-glaber   lithocarpus-spp   lithuania   litter   local   local-average-invariance   local-over-complication   local-scale   lodoicea-maldivica   logging   logic-programming   logics   logistic-regression   lognormal-distribution   long-distance-dispersal   long-distance-pollen-flow   long-lived-changes   long-range-transport   long-term   lonicera-alpigena   lonicera-caerulea   lonicera-nigra   lonicera-periclymenum   lonicera-spp   lonicera-tatarica   lonicera-xylosteum   loranthus-europaeus   lose-lose-solution   low-diversity   low-intensity-agriculture   low-intensity-cumulated-effect   low-pass-filtering   lpj-guess   lucanidae   lupinus-incana   lupinus-spp   lymantria-dispar   lymantria-monacha   lyonothamnus-floribundus   lysiloma-latisiliquum   macchia   macedonia   machine-learning   maclura-spp   macro-remains   macroclimate   macroecology   macrofossils   macropsis-glandacea   maghreb   magnolia-acuminata   magnolia-grandiflora   magnoliophyta   mahalanobis-distance   mahonia-spp   malta   malus-crescimannoi   malus-dasyphylla   malus-pumila   malus-spp   malus-sylvestris   mammals   mammea-americana   management   management-indicators   management-strategies   manganese   mangifera-indica   mangrove-forest   mangroves   manifesto   manilkara-zapota   manual   manual-cutting   maple   maple-ash   maple-decline   maple-linden   mapping   mapping-networks   maps   maquis   marchalina   marginal-populations   marine-ecosystem   marssonina-betulae   mass-extinction   mass-spectrometry   mast-fruiting   mastixioideae   mastrave-modelling-library   mathematical-reasoning   mathematics  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Corrigendum to "Modelling soil erosion at European scale: towards harmonization and reproducibility" published in Nat. Hazards Earth Syst. Sci.,15, 225-245, 2015

  
Natural Hazards and Earth System Science, Vol. 15, No. 2. (16 February 2015), pp. 291-291, https://doi.org/10.5194/nhess-15-291-2015

Abstract

[Excerpt] Two editorial mistakes were found in the article. Both refer to Eq. (2), p. 231 (whose correct version was published in the discussion paper, p. 2652). [\n] The first mistake is related to the operator Ω, which was wrongly rendered with a summation operator (Σ). The editorial notation mistake is also evident by considering the semantics of the RDS (relative distance similarity) statistics. As explained in de Rigo et al. (2013) and Bosco et al. (2013), RDS is defined in [0, 1]. Therefore, a summation operator whose arguments are quantities ...

 

A computational framework for generalized moving windows and its application to landscape pattern analysis

  
International Journal of Applied Earth Observation and Geoinformation, Vol. 44 (February 2016), pp. 205-216, https://doi.org/10.1016/j.jag.2015.09.010

Abstract

[Highlights] [::] Moving window analysis is a prominent means of analyzing the spatial variability of landscape patterns at multiple scales. [::] A new computational framework is presented that overcomes technical and computational barriers to the use and implementation of moving windows based landscape pattern analysis of raster maps. [::] For a small window of 41 × 41 pixels, computation time was reduced by a factor 600 compared to the most commonly used software. These gains will be greater for larger windows. [::] The framework facilitates ...

 

Read before you cite!

  
Complex Systems, Vol. 14, No. 3. (2003), pp. 269-274

Abstract

We report a method of estimating what percentage of people who cited a paper had actually read it. The method is based on a stochastic modeling of the citation process that explains empirical studies of misprint distributions in citations (which we show follows a Zipf law). Our estimate is only about 20% of citers read the original. ...

 

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

  
Neural Computation In Neural Computation, Vol. 10, No. 5. (1 July 1998), pp. 1299-1319, https://doi.org/10.1162/089976698300017467

Abstract

A new method for performing a nonlinear form of principal component analysis is proposed. By the use of integral operator kernel functions, one can efficiently compute principal components in high-dimensional feature spaces, related to input space by some nonlinear map - for instance, the space of all possible five-pixel products in 16 x 16 images. We give the derivation of the method and present experimental results on polynomial feature extraction for pattern recognition. A new method for performing a nonlinear form ...

 

Nonlinear principal component analysis: neural network models and applications

  

Abstract

Nonlinear principal component analysis (NLPCA) as a nonlinear generalisation of standard principal component analysis (PCA) means to generalise the principal components from straight lines to curves. This chapter aims to provide an extensive description of the autoassociative neural network approach for NLPCA. Several network architectures will be discussed including the hierarchical, the circular, and the inverse model with special emphasis to missing data. Results are shown from applications in the field of molecular biology. This includes metabolite data analysis of a ...

 

Nonlinear PCA: a new hierarchical approach

  
In Proceedings of the 10th European Symposium on Artificial Neural Networks (ESANN) (2002), pp. 439-444
 

Measuring and testing dependence by correlation of distances

  
The Annals of Statistics, Vol. 35, No. 6. (28 December 2007), pp. 2769-2794, https://doi.org/10.1214/009053607000000505

Abstract

Distance correlation is a new measure of dependence between random vectors. Distance covariance and distance correlation are analogous to product-moment covariance and correlation, but unlike the classical definition of correlation, distance correlation is zero only if the random vectors are independent. The empirical distance dependence measures are based on certain Euclidean distances between sample elements rather than sample moments, yet have a compact representation analogous to the classical covariance and correlation. Asymptotic properties and applications in testing independence are discussed. Implementation of the test and Monte Carlo results are ...

 

Brownian distance covariance

  
The Annals of Applied Statistics, Vol. 3, No. 4. (6 Oct 2010), pp. 1236-1265, https://doi.org/10.1214/09-aoas312

Abstract

Distance correlation is a new class of multivariate dependence coefficients applicable to random vectors of arbitrary and not necessarily equal dimension. Distance covariance and distance correlation are analogous to product-moment covariance and correlation, but generalize and extend these classical bivariate measures of dependence. Distance correlation characterizes independence: it is zero if and only if the random vectors are independent. The notion of covariance with respect to a stochastic process is introduced, and it is shown that population distance covariance coincides with the covariance with respect to Brownian motion; thus, ...

 

Rejoinder: brownian distance covariance

  
The Annals of Applied Statistics, Vol. 3, No. 4. (5 Oct 2010), pp. 1303-1308, https://doi.org/10.1214/09-aoas312rej

Abstract

Rejoinder to "Brownian distance covariance" by Gábor J. Székely and Maria L. Rizzo [arXiv:1010.0297] ...

 

Emergence of patterns in random processes

  
Physical Review E, Vol. 86, No. 2. (August 2012), 026103, https://doi.org/10.1103/physreve.86.026103

Abstract

Sixty years ago, it was observed that any independent and identically distributed (i.i.d.) random variable would produce a pattern of peak-to-peak sequences with, on average, three events per sequence. This outcome was employed to show that randomness could yield, as a null hypothesis for animal populations, an explanation for their apparent 3-year cycles. We show how we can explicitly obtain a universal distribution of the lengths of peak-to-peak sequences in time series and that this can be employed for long data ...

 

Twenty questions for Donald Knuth

  
INFORMIT, Vol. 2014 (2014), 2213858

Abstract

To celebrate the publication of the eBooks of The Art of Computer Programming, (TAOCP), we asked several computer scientists, contemporaries, colleagues, and well-wishers to pose one question each to author Donald E. Knuth. Here are his answers. ...

 

Clustering by fast search and find of density peaks

  
Science, Vol. 344, No. 6191. (26 June 2014), pp. 1492-1496, https://doi.org/10.1126/science.1242072

Abstract

[Abstract] Cluster analysis is aimed at classifying elements into categories on the basis of their similarity. Its applications range from astronomy to bioinformatics, bibliometrics, and pattern recognition. We propose an approach based on the idea that cluster centers are characterized by a higher density than their neighbors and by a relatively large distance from points with higher densities. This idea forms the basis of a clustering procedure in which the number of clusters arises intuitively, outliers are automatically spotted and excluded ...

 

IEEE Standard for Floating-Point Arithmetic

  
IEEE Std 754-2008 In IEEE Std 754-2008 (August 2008), pp. 1-70, https://doi.org/10.1109/ieeestd.2008.4610935
Keywords: ieee   mathematics   multiauthor   programming   standard  

Abstract

This standard specifies interchange and arithmetic formats and methods for binary and decimal floating-point arithmetic in computer programming environments. This standard specifies exception conditions and their default handling. An implementation of a floating-point system conforming to this standard may be realized entirely in software, entirely in hardware, or in any combination of software and hardware. For operations specified in the normative part of this standard, numerical results and exceptions are uniquely determined by the values of the input data, sequence of ...

 

An American National Standard- IEEE Standard for Binary Floating-Point Arithmetic

  
ANSI/IEEE Std 754-1985 In ANSI/IEEE Std 754-1985, No. Std 754-1985. (1985), 0_1, https://doi.org/10.1109/ieeestd.1985.82928
by John E. May, John P. Riganati, Sava I. Sherr, James H. Beall, Fletcher J. Buckley, Rene Castenschiold, Edward Chelotti, Edward J. Cohen, Paul G. Cummings, Donald C. Fleckenstein, Jay Forster, Daniel L. Goldberg, Kenneth D. Hendrix, Irvin N. Howell, Jack Kinn, Joseph L. Koepfinger, Irving Kolodny, R. F. Lawrence, Lawrence V. McCall, Donald T. Michael, Frank L. Rose, Clifford O. Swanson, J. Richard Weger, W. B. Wilkens, Charles J. Wylie, Andrew Allison, William Ames, Mike Arya, Janis Baron, Steve Baumel, Dileep Bhandarkar, Joel Boney, E. H. Bristol, Werner Buchholz, Jim Bunch, Ed Burdick, Gary R. Burke, Paul Clemente, W. J. Cody, Jerome T. Coonen, Jim Crapuchettes, Itzhak Davidesko, Wayne Davison, R. H. Delp, James Demmel, Donn Denman, Alvin Despain, Augustin A. Dubrulle, Tom Eggers, Philip J. Faillace, Richard Fateman, David Feign, Don Feinberg, Smart Feldman, Eugene Fisher, Paul F. Flanagan, Gordon Force, Lloyd Fosdick, Robert Fraley, Howard Fullmer, Daniel D. Gajski, David M. Gay, C. W. Gear, Martin Graham, David Gustavson, Guy K. Haas, Kenton Hanson, Chuck Hastings, David Hough, John E. Howe, Thomas E. Hull, Suren Irukulla, Richard, Paul S. Jensen, W. Kahan, Howard Kaikow, Richard Karpinski, Virginia Klema, Les Kohn, Dan Kuyper, M. Dundee Maples, Roy Martin, William H. McAllister, Colin McMaster, Dean Miller, Webb Miller, John C. Nash, Dan O'Dowd, Cash Olsen, A. Padegs, John F. Palmer, Beresford Parlett, Dave Patterson, Mary H. Payne, Tom Pittman, Lew Randall, Robert Reid, Christian Reinsch, Frederic N. Ris, Stan Schmidt, Van Shahan, Robert L. Smith, Roger Stafford, G. W. Stewart, Robert Stewart, Harold S. Stone, W. D. Strecker, Robert Swarz, George Taylor, James W. Thomas, Dar-Sun Tsien, Greg Walker, John S. Walther, Shlomo Waser, P. C. Waterman, Charles White
Keywords: ansi   ieee   mathematics   multiauthor   programming   standard  

Abstract

This standard is a product of the Floating-Point Working Group of the Microprocessor Standards Subcommittee of the Standards Committee of the IEEE Computer Society. This work was sponsored by the Technical Committee on Microprocessors and Minicomputers. Draft 8.0 of this standard was published to solicit public comments. Implementation techniques can be found in An Implementation Guide to a Proposed Standard for Floating-Point Arithmetic by J.T. Coonen, which was based on a still earlier draft of the proposal. This standard defines a ...

 

Transposition invariant string matching

  
Journal of Algorithms, Vol. 56, No. 2. (August 2005), pp. 124-153, https://doi.org/10.1016/j.jalgor.2004.07.008

Abstract

Given strings A=a1a2...am and B=b1b2...bn over an alphabet Σ⊆U, where U is some numerical universe closed under addition and subtraction, and a distance function d(A,B) that gives the score of the best (partial) matching of A and B, the transposition invariant distance is mint∈Ud(A+t,B), where A+t=(a1+t)(a2+t)...(am+t). We study the problem of computing the transposition invariant distance for various distance (and similarity) functions d, including Hamming distance, longest common subsequence (LCS), Levenshtein distance, and their versions where the exact matching condition is ...

 

Crowd-sourcing: strength in numbers

  
Nature, Vol. 506, No. 7489. (26 February 2014), pp. 422-423, https://doi.org/10.1038/506422a

Abstract

Researchers are finding that online, crowd-sourced collaboration can speed up their work if they choose the right problem. [Excerpt] [...] Yet this open approach has taken root as an ongoing crowd-sourcing project called Polymath. [...] Polymath 8 was a triumph for the collaborative approach, says Tao. If mathematicians had been attacking the problem in the standard way, with what he describes as “a flood of mini-papers”, it might have taken years to get the bound down that far. Polymath has not always ...

 

Parallel lines

  
Nature, Vol. 506, No. 7489. (26 February 2014), pp. 407-408, https://doi.org/10.1038/506407b

Abstract

A collaborative online mathematics project holds lessons for other disciplines. [Excerpt] Crowd-sourcing has reached mathematics, and at first glance it might seem as if this stereotypically solitary discipline is finally catching up with what other sciences have been doing for years. But, as we explore on page 422, the maths project Polymath, which invites participants to pitch in with ideas and results that might help to solve whatever problem the coordinator has set, is in some ways ahead of the curve. Not ...

 

Fourth class of convex equilateral polyhedron with polyhedral symmetry related to fullerenes and viruses

  
Proceedings of the National Academy of Sciences, Vol. 111, No. 8. (25 February 2014), pp. 2920-2925, https://doi.org/10.1073/pnas.1310939111
Keywords: mathematics   networks   topology  

Abstract

[Significance] The Greeks described two classes of convex equilateral polyhedron with polyhedral symmetry, the Platonic (including the tetrahedron, octahedron, and icosahedron) and the Archimedean (including the truncated icosahedron with its soccer-ball shape). Johannes Kepler discovered a third class, the rhombic polyhedra. Some carbon fullerenes, inorganic cages, icosahedral viruses, protein complexes, and geodesic structures resemble these polyhedra. Here we add a fourth class, “Goldberg polyhedra.” Their small (corner) faces are regular 3gons, 4gons, or 5gons, whereas their planar 6gonal faces are equilateral ...

 

Inefficient epidemic spreading in scale-free networks

  
Physical Review E, Vol. 77, No. 2. (Feb 2008), 026113, https://doi.org/10.1103/physreve.77.026113

Abstract

Highly heterogeneous degree distributions yield efficient spreading of simple epidemics through networks, but can be inefficient with more complex epidemiological processes. We study diseases with nonlinear force of infection whose prevalences can abruptly collapse to zero while decreasing the transmission parameters. We find that scale-free networks can be unable to support diseases that, on the contrary, are able to persist at high endemic levels in homogeneous networks with the same average degree. ...

 

On large scale forest fires propagation models

  
International Journal of Thermal Sciences, Vol. 47, No. 6. (June 2008), pp. 680-694, https://doi.org/10.1016/j.ijthermalsci.2007.06.016

Abstract

The question of the modeling of forest fires at large scales is addressed. Empirical models are compared and it is shown that Rothermel's model describing the rate of spread of a straight front is included in the envelope model which in turn is included in a Hamilton–Jacobi equation description. This result shows that the preceding models could be included in reaction diffusion systems. Then an anisotropic propagation model with a nonlocal radiative term, obtained by asymptotic expansion of a combustion modeling, ...

 

ATLAS

  
In Free Software Directory (April 2011)
edited by Janet Casey

Abstract

ATLAS (Automatically Tuned Linear Algebra Software) is a system for generating high-performance mathematical libraries. It generates a library that is specifically tuned to your processor and compiler. ATLAS's purpose is to provide portably optimal linear algebra software. In particular, ATLAS provides ANSI C and Fortran 77 interfaces to the BLAS, and a subset of LAPACK. ...

 

mcsim

  
In Free Software Directory (April 2011)
edited by Kelly Hopkins

Abstract

'MCSim' is a simulation and statistical inference tool for algebraic or differential equation systems. While other programs have been created to the same end, many of them are not optimal for performing computer intensive and sophisticated Monte Carlo analyses. MCSim was created specifically to perform Monte Carlo analyses in an optimized, and easy to maintain environment. ...

 

Mastrave

  
In Free Software Directory (October 2011), 8008

Abstract

Mastrave is a free software library written to perform vectorized scientific computing and to be as compatible as possible with both GNU Octave and Matlab computing frameworks, offering general purpose, portable and freely available features for the scientific community. Mastrave is mostly oriented to ease complex modeling tasks such as those typically needed within environmental models, even when involving irregular and heterogeneous data series. [Semantic array programming]. The Mastrave project attempts to allow a more effective, quick interoperability between GNU Octave and Matlab ...

 

MedianTracker

  
In Free Software Directory (April 2011)

Abstract

MedianTracker supports efficient median queries on and dynamic additions to a list of values. It provides both the lower and upper median of all values seen so far. Any __cmp__()-able object can be tracked, in addition to numeric types. add() takes log(n) time for a tracker with n items; lower_median() and upper_median() run in constant time. Since all values must be stored, memory usage is proportional to the number of values added (O(n)). ...

 

OptionMatrix

  
In Free Software Directory (April 2013)

Abstract

These calculators are real-time multi-model option chain pricers with analytics and interactive controls. optionmatrix is the GTK+ graphical user interface version and optionmatrix_console is the Curses version. Both programs feature: greeks, decimal date to real-date translations, real-date to decimal date translations, real-time time bleeding, configurable option expiration date engines, calendars, strike control systems, tickers and over 135 option models. optionmatrix also supports: spreads, bonds, term structures, cash flow editing, source code viewing and text exporting. ...

 

PSPP

  
In Free Software Directory (April 2011)

Abstract

PSPP is a program for statistical analysis of sampled data. It is a Free replacement for the proprietary program SPSS. ...

 

Emergent relation between surface vapor conductance and relative humidity profiles yields evaporation rates from weather data

  
Proceedings of the National Academy of Sciences, Vol. 110, No. 16. (16 April 2013), pp. 6287-6291, https://doi.org/10.1073/pnas.1215844110

Abstract

The ability to predict terrestrial evapotranspiration (E) is limited by the complexity of rate-limiting pathways as water moves through the soil, vegetation (roots, xylem, stomata), canopy air space, and the atmospheric boundary layer. The impossibility of specifying the numerous parameters required to model this process in full spatial detail has necessitated spatially upscaled models that depend on effective parameters such as the surface vapor conductance (Csurf). Csurf accounts for the biophysical and hydrological effects on diffusion through the soil and vegetation ...

 

Variations of Non-Additive Measures

  
Acta Polytechnica Hungarica, Vol. 2, No. 1. (2005)
edited by Imre J. Rudas

Abstract

General non-additive measures are investigated with the help of some related monotone measures (some types of variations and submeasures), which have some important additional properties. ...

 

Core foundations of abstract geometry

  
Proceedings of the National Academy of Sciences, Vol. 110, No. 35. (27 August 2013), pp. 14191-14195, https://doi.org/10.1073/pnas.1312640110

Abstract

Human adults from diverse cultures share intuitions about the points, lines, and figures of Euclidean geometry. Do children develop these intuitions by drawing on phylogenetically ancient and developmentally precocious geometric representations that guide their navigation and their analysis of object shape? In what way might these early-arising representations support later-developing Euclidean intuitions? To approach these questions, we investigated the relations among young children’s use of geometry in tasks assessing: navigation; visual form analysis; and the interpretation of symbolic, purely geometric maps. ...

 

Decision making by hybrid probabilistic: Possibilistic utility theory

  
Panoeconomicus, Vol. 56, No. 4. (2009), pp. 421-433, https://doi.org/10.2298/pan0904421p

Abstract

It is presented an approach to decision theory based upon nonprobabilistic uncertainty. There is an axiomatization of the hybrid probabilistic possibilistic mixtures based on a pair of triangular conorm and triangular norm satisfying restricted distributivity law, and the corresponding non-additive Smeasure. This is characterized by the families of operations involved in generalized mixtures, based upon a previous result on the characterization of the pair of continuous t-norm and t-conorm such that the former is restrictedly distributive over the latter. The obtained ...

 

The extreme vulnerability of interdependent spatially embedded networks

  
Nat Phys, Vol. 9, No. 10. (25 October 2013), pp. 667-672, https://doi.org/10.1038/nphys2727

Abstract

Recent studies show that in interdependent networks a very small failure in one network may lead to catastrophic consequences. Above a critical fraction of interdependent nodes, even a single node failure can invoke cascading failures that may abruptly fragment the system, whereas below this critical dependency a failure of a few nodes leads only to a small amount of damage to the system. So far, research has focused on interdependent random networks without space limitations. However, many real systems, such as ...

 

An a posteriori measure of network modularity

  

Abstract

Measuring modularity is important to understand the structure of networks, and has an important number of real-world implications. However, several measures exists to assess the modularity, and give both different modularity values and different modules composition. In this article, I propose an a posteriori measure of modularity, which represents the ratio of interactions between members of the same modules vs. members of different modules. I apply this measure to a large dataset of 290 ecological networks, to show that it gives ...

 

Six myths about mathematical modeling in geomorphology

  
Geophysical Monograph Series, Vol. 135 (2003), pp. 63-79, https://doi.org/10.1029/135gm06

Abstract

Geomorphologists, geologists and hydrologists have always used models. Unfortunately an artificial schism between modelers and experimentalists (or "observationalists") commonly exists in our fields. This schism is founded on bias, misinterpretation, and myth. The schism is perpetuated by misuse and misrepresentation of data and models. In this paper we have tried to address six of those myths and illustrate, mostly with our experiences, why we think mathematical models are useful and necessary tools of the trade. First we argue for a broad ...

 

The ECMWF Ensemble Prediction System: Methodology and validation

  
Q.J.R. Meteorol. Soc., Vol. 122, No. 529. (1 January 1996), pp. 73-119, https://doi.org/10.1002/qj.49712252905
Keywords: ensemble   forecast   mathematics   meteorology  

Abstract

The European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System (EPS) is described. In addition to an unperturbed (control) forecast, each ensemble comprises 32 10-day forecasts starting from initial conditions in which dynamically defined perturbations have been added to the operational analysis. The perturbations are constructed from singular vectors of a time-evolution operator linearized around the short-range-forecast trajectory. These singular vectors approximately determine the most unstable phase-space directions in the early part of the forecast period, and are estimated using ...

 

Two notes on notation

  
(1 May 1992)

Abstract

The author advocates two specific mathematical notations from his popular course and joint textbook, "Concrete Mathematics". The first of these, extending an idea of Iverson, is the notation "[ P ]" for the function which is 1 when the Boolean condition P is true and 0 otherwise. This notation can encourage and clarify the use of characteristic functions and Kronecker deltas in sums and integrals. [\n] The second notation puts Stirling numbers on the same footing as binomial coefficients. Since binomial coefficients are written on two lines in parentheses and read ...

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