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Record W281975968

Mathematica Player 6

2009· article· en· W281975968 on OpenAlexaboutno aff
H.J. Hindin

Bibliographic record

VenueMathematics and computer education · 2009
Typearticle
Languageen
FieldComputer Science
TopicSpreadsheets and End-User Computing
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceSoftwareUploadGraphicsMultimediaWorld Wide WebComputer graphics (images)Programming language
DOInot available

Abstract

fetched live from OpenAlex

MATHEMATICA PLAYER 6 www.wolfram.com Contact: Wolfram Research, Inc. 100 Trade Center Drive Champaign, IL 61820-7237, USA +1-217-398-0700, 800-WOLFRAM (965-3726; U.S. and Canada only) fax:+1-217-398-0747 Price: Free It's rare when a free software program is interesting not only to students from high school through community and four-year colleges but to industry professionals as well. Wolfram's Mathematica Player 6 is one of these unique offerings. Available as a free download from www.wolfram.com, this software can be used as an interactive player for Mathematica 6 notebooks. Not just a reader/player, Mathematica Player is embedded with the full Mathematica engine to power applets and read Mathematica notebooks. But there is also much more here for both the student and the teacher. Most importantly, the Player allows the user to access, on the Wolfram website, over four-thousand free, interactive visualization demonstrations in science, mathematics, engineering, technology, art, business, finance, and other subjects. These are contributed by students, academics, practitioners, and lay people worldwide, and the number of interactive demonstrations available increases almost daily. Checking the site can be addictive. The user of this software does not have to write applets or read and/or develop Mathematica Notebooks to appreciate and use it to good advantage. Downloading the Player and double clicking its icon allows the user to select an Interactive Demonstrations button, which allows selection of interactive demonstrations from mathematics (algebra, calculus, analysis); computation (algorithms, computer science); physical science (physics, earth science); and life sciences (biology, medicine); Moreover, for those so inclined, further interactive demonstrations may be chosen in the areas of business and social systems (economics, finance); systems, models, and methods (discrete models, networks); engineering and technology (machines, electrical engineering), our world (everyday life, geography); creative arts (art, architecture, music); kids and fun (for kids, puzzles, optical illusions); and Mathematica (short programs, 3D graphics). Demonstration content varies from the basics through advanced studies. In the algebra section, for example, content may be found that helps in the visualization of high-school algebra I, algebra II and trigonometry, and high-school precalculus, complex numbers, linear algebra, polynomials, quadratic forms, rational functions, and vector algebra. The user can vary parameters to see, in real time, what happens to the function or functions of interest, and their interactions. The applied mathematics section includes interactive material from approximation methods, numerical analysis, operations research, optimization, special functions, and wavelets. The calculus, discrete mathematics, experimental mathematics, geometry, historical mathematics, number theory, pure mathematics, recreational mathematics, and statistics sections are similarly rich. The computation group of interactive demonstrations includes algorithms for automatic reasoning, computational geometry, computer algebra, computer graphics, cryptography, data compression, image processing, and numerical analysis. The computer science section, among others, includes interactive demonstrations about data structures, finite state machines, recursion, and the theory of computation. Cellular automata and fractals are also included. As a learning tool in this section, for example, you can view how the Koch Snowflake varies as the recursion degree changes or as the basic shape for the recursion process changes though different kinds of squares and rectangles. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.728
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0050.007
Open science0.0050.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.7280.693

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.254
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreSoftware

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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