Category:Shelf:Applied mathematics/all books

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This is an internally maintained category. It should be automatically populated with all books belonging to shelf Applied mathematics or to any of its descendant shelves.

Related categories

The following 3 related categories may be of interest, out of 3 total.

A

• Shelf:Machine learning/all books‎ (3 pages)
• Shelf:Mathematical physics/all books‎ (4 pages)
• Shelf:Statistics/all books‎ (9 pages)

Pages in category "Shelf:Applied mathematics/all books"

More recent additions	More recent modifications
An Introduction to Econometrics Biostatistics with R Statistical Analysis: an Introduction using R Machine Translation Artificial Neural Networks Statistics Statistics Ground Zero Why, and How, Should Geologists Use Compositional Data Analysis Parallel Spectral Numerical Methods Social Statistics	An Intuitive Guide to the Concept of Entropy Arising in Various Sectors of Science Statistics Ground Zero Calculus of Variations Applied Mathematics Statistics Cryptography Operations Research Parallel Spectral Numerical Methods Artificial Neural Networks OpenSSL

The following 29 pages are in this category, out of 29 total.

A

• Applicable Mathematics
• Applied Mathematics
• An Introduction to Econometrics
• An Intuitive Guide to the Concept of Entropy Arising in Various Sectors of Science
• Artificial Neural Networks
• Biostatistics with R
• Computational Physics
• Handbook of Descriptive Statistics
• High School Probability and Statistics
• Introduction to Mathematical Physics
• Machine Translation
• Mathematical Methods of Physics
• Mathematical Statistics
• Social Statistics
• Statistical Analysis: an Introduction using R
• Statistics
• Statistics Ground Zero
• Support Vector Machines

C

• Calculus of Variations
• Cryptography

E

• Engineering Analysis

F

• From Data to Insight

I

• Introduction to Game Theory

M

• Mathematics for Chemistry
• Modelling Theory and Practice

O

• OpenSSL
• Operations Research

P

• Parallel Spectral Numerical Methods

W

• Why, and How, Should Geologists Use Compositional Data Analysis

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