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- A Short Introduction to Sagemath
- R, Matlab and Spss for Factor Analysis Purposes: Some Practical Considerations and an Application
- Octave/Matlab Tutorial
- R Programming
- Theta Logistic Population Model Writeup
- Dauphin: a Signal Processing Language Statistical Signal Processing Made Easy
- Matlab®To Python: a Migration Guide 6
- A Quick Tutorial on MATLAB
- An Introduction to Python Programming with Numpy, Scipy and Matplotlib/Pylab
- Getting Started with Maple Toolboxes
- MATLAB GNU Octave for Engineers Tutorial 1: Variables, Vectors, Operations and Plotting
- AD Model Builder: Using Automatic Differentiation for Statistical Inference of Highly Parameterized Complex Nonlinear Models
- « Julia, My New Optimization Friend »
- An Introduction to the Julia Programming Language
- Using Sagemath
- Introduction to Julia
- On Embedding Gretl in a Python Module
- Çevik, M., & Tabaru-Örnek, G. (2020). Comparison of MATLAB and SPSS
- The Origins of Sagemath – Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, and Matlab
- MATLAB Basic Functions Reference
- Leveraging the Power of Matlab, SPSS, EXCEL, and Minitab for Statistical Analysis and Inference
- Matlab, Python, Julia: What to Choose in Economics?
- Sage Cells: Making Sage Accessible to Students, Teachers, and Authors
- Lecture Title
- Matlabcompat.Jl: Helping Julia Understand Your Matlab/Octave Code
- Matlab Vs. Python Vs. R
- A Unified Parallel MATLAB
- Switching from Matlab to R
- Enhancing Electromagnetics Instruction Using Matlab and Mathcad
- On Line Video Based Training for Matlab, Mathcad and Maple
- Introduction to the Sagemath Software
- MATLAB/Octave
- Random Signals for Engineers Using MATLAB® and Mathcad® Series: Modern Acoustics and Signal Processing
- Julia the Tesla of Programing Languages the Sort Version
- Econometrics II, First Problem Set. Note: “Matlab” Can Be Read As “Stata”, Or
- MIDAS in Gretl
- Comparison of Solving Equations (PDF)
- The First Course of Programming: Python, Matlab, Or C?
- MATLAB GNU Octave Tutorial
- Selection of Statistical Software for Data Scientists and Teachers Ceyhun Ozgur Valparaiso University, [email protected]
- Economics 6213 1 Purpose
- Using Mathematica® & Matlab® for Cagd/Cad Research and Education
- R and MATLAB [Hiebeler 2015-06-23].Pdf
- Ilnumerics for Matlab Users (Download PDF)
- Mathematical Software Packages and MATLAB
- Gretl User's Guide
- Random Effects in AD Model Builder
- ATLAS: Interactive and Educational Linear Algebra System Containing
- (GNU Regression and Econometric Timeseries Library) 2 Using Gretl
- AD Model Builder: Using Automatic Differentiation for Statistical Inference of Highly Parameterized Complex Nonlinear Models
- A Comparison of C, MATLAB, and Python As Teaching Languages in Engineering
- Package 'R.Matlab'
- Sage for Fun and Profit
- Getting Started with Maple Toolboxes
- Comparing Computational Speed of Matlab and Mathematica Across a Set of Benchmark Number Crunching Problems
- Profiles of Software Utilization by University Mathematics Faculty
- TMB: Automatic Differentiation and Laplace Approximation
- Welcome to AD Model Builder
- Introduction to Octave/Matlab
- Rcall: Calling R from MATLAB
- Python for Matlab Users
- SPSS Data Analysis
- Chapter 1 Julia Tutorial
- Perpetual License • 1 Year Maintenance Subscription • Optional Renewals, 50% of Full Price • 1St
- Introduction to Computing in the Oxford Physics Course
- An Introduction to Matlab and Mathcad
- Performance Comparison Among:R, Matlab, Esproc, SAS, SPSS, Excel, 3/30/14 11:24 PM
- The Matlab Utilities Gretl Function Package
- Joaquim P. Marques De Sá Applied Statistics Using SPSS, STATISTICA, MATLAB and R
- Octave and Python: High-Level Scripting Languages Productivity and Performance Evaluation
- R-Matlab Interface
- Introduction to Matlab for Engineering Students