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Graphic methods.

Overview

Works:	22 works in 7 publications in 7 languages

Titles

Graph theory with applications by: (Language materials, printed)

Graph theory with applications to engineering and computer science by: (Language materials, printed)

Graphs, networks, and algorithms by: (Language materials, printed)

Graph theory, with engineering applications by: (Language materials, printed)

Data points : = visualization that means something / by: (Language materials, printed)

Uncertainty and graphing in discovery work = implications for and applications in STEM education / by: (Electronic resources)

Ggplot2 = elegrant graphics for data analysis / by: (Electronic resources)

Applications of zero-suppressed decision diagrams by: (Electronic resources)

A comprehensive guide to creating graphics with MATLAB programming by: (Electronic resources)

Numerical methods for metric graphs = Eigenvalue problems and parabolic partial differential equations / by: (Electronic resources)

Subjects

Data structures (Computer science)

Matrices.

Information visualization.

Science Education.

Appl.Mathematics/Computational Methods of Engineering.

Visualization.

- Lee, Teng-hui Addresses and me

Non-relational databases.

Logic, Symbolic and mathematical.

Programming Language.

Mathematics of Computing.

Differential Equations.

Numerical Analysis.

Statistical Theory and Methods.

Data mining.

Computer Graphics.

Database Management.

Uncertainty (Information theory)

Education.

Visual communication in science.

Algorithm Analysis and Problem Complexity.

Programming Techniques.

R (Computer program language)

Information Storage and Retrieval.

Statistical maps.

Computer Appl. in Administrative Data Processing.

Scientific illustration.

Decision making- Mathematical models.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Data Mining and Knowledge Discovery.

Charts, diagrams, etc.

Graphic methods.

Information Systems Applications (incl.Internet)

Technology- Study and teaching.

Mathematics Education.

Optimization.

MATLAB.

Differential equations, Parabolic.

Statistics.

Computer Science.

Science- Study and teaching.

Operation Research/Decision Theory.

Statistics and Computing/Statistics Programs.

Geometry.

Statistics- Graphic methods.

Decision logic tables.

Logic circuits- Design.

Computational Economics.

Eigenvalues.