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Code covered by the BSD License Highlights from MATLAB xUnit Test Framework MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framework: ... MATLAB xUnit Test Framewor
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BOXCOUNT Box-Counting of a D-dimensional array (with D=1,2,3). The Box-counting method is useful to determine fractal properties of a 1D segment, a 2D image or a 3D array. If C is a fractal set, with fractal dimension DF < D, then the number N of boxes of size R needed to cover the set scales as R^(-DF). DF is known as the Minkowski-Bouligand dimension, or Kolmogorov capacity, or Kolmogorov dimens
Statistics and Machine Learning Toolbox™ provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from dat
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Millions of engineers and scientists worldwide use MATLAB® to analyze and design the systems and products transforming our world. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tool
SimBiology Model, simulate, and analyze biological systems SimBiology provides apps and programmatic tools for modeling, simulating, and analyzing dynamic systems, focusing on quantitative systems pharmacology (QSP), physiologically-based pharmacokinetic (PBPK), and pharmacokinetic/pharmacodynamic (PK/PD) applications. You can build models interactively using the SimBiology block diagram editor or
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MATLAB for Artificial Intelligence Design AI models and AI-driven systems
Symbolic Math Toolbox provides functions for solving, plotting, and manipulating symbolic math equations. You can create, run, and share symbolic math code. In the MATLAB Live Editor, you can get next-step suggestions for symbolic workflows. The toolbox provides functions in common mathematical areas such as calculus, linear algebra, algebraic and differential equations, equation simplification, a
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