Computer Aided Mathematics
An introduction to software programs that facilitate the manipulation of mathematical expressions in symbolic form.
All categoriesBooks under this sub-category (18 books)
Scipy Lecture Notes: One document to learn numerics, science, and data with Python
Post date: 29 May 2016A self-contained introduction to everything that is needed to use Python for science, from the language itself, to numerical computing or plotting.
Publication date: 31 Dec 2015
License: Creative Commons Attribution 4.0 International
Document Type: Lecture Notes
License: Creative Commons Attribution 4.0 International
Document Type: Lecture Notes
Scipy Lecture Notes: One document to learn numerics, science, and data with Python
Post date: 29 May 2016A self-contained introduction to everything that is needed to use Python for science, from the language itself, to numerical computing or plotting.
Publication date: 31 Dec 2015
License: Creative Commons Attribution 4.0 International Document Type: Lecture Notes
License: Creative Commons Attribution 4.0 International Document Type: Lecture Notes
Shape Interrogation for Computer Aided Design and Manufacturing
Post date: 03 Oct 2022This book focuses on shape interrogation, which is the process of extraction of information from a geometric model and a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems.
Shape Interrogation for Computer Aided Design and Manufacturing
Post date: 03 Oct 2022This book focuses on shape interrogation, which is the process of extraction of information from a geometric model and a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems.
The R Reference Manual Base Package Volume 2
Post date: 11 Jun 2005The second volume of the complete reference manual for the base package of GNU R, a free software environment for statistical computing and graphics.
The R Reference Manual Base Package Volume 2
Post date: 11 Jun 2005The second volume of the complete reference manual for the base package of GNU R, a free software environment for statistical computing and graphics.
Book Categories
Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)
Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics
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Electric Circuits
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Integration and Automation
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Forth
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R
Python
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