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Search found 25 matches
- 7 years ago
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Open Calls: EMS-Simons for Africa Research Program
The African Continent is very diversified and the development of a career in mathematics faces different and sometimes difficult progression. The Committee for Developing Countries ( CDC ) of the EMS, with the support of the Simons Foundation , opens a program of research visits to foster research o...
- 7 years ago
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Re: Differential Equations as Mathematical Models-Falling bodies
I tried to simulate Example 1: Simulation helps to visualize what's real happen when the ball is thrown upward. I modified the question but mathematical concepts are the same as highlighted by gaDgeT above. I will have three patterns regarding the ball a) The ball thrown upward and bounces back on t...
- 9 years ago
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Differential Equations as Mathematical Models-Falling bodies
In this topic, we formulate and solve a number of differential equations that originate from real-world problems. Example 1 A ball of mass m is thrown straight up from the ground with an initial velocity of v_{0} . Ignoring air resistance, find the maximum height and the time the ball takes to attai...
- 9 years ago
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Solving Differential Equations in R
R is not a prominent tool for solving differential equations when compared to the historically well known proprietary tools, MATLAB, Mathematica, Maple and emerging open source software such as Octave, Sage and Scilab, but it is very powerful. R is rapidly becoming useful for both teaching and resea...
- 7 years ago
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Mean, Standard Deviation and Variance
Mean Mean is the average value. This means, mean is the value obtained by summing all the values in the dataset of your interest and divide by the number of values in the dataset. Mean is usually the central value, which divides the distribution into two equal halves. Suppose you have the following...
- 7 years ago
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- 7 years ago
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Re: Visualizing random samples from a normal (Gaussian) distribution
Normal distribution curve for 786432 random samples, 100 bins:
This means as sample becomes larger and larger, distribution behaves more normally!
This means as sample becomes larger and larger, distribution behaves more normally!
- 7 years ago
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Re: Visualizing random samples from a normal (Gaussian) distribution
PDF (probability density function) for the normal distribution:
The red curve is the standard normal distribution.
What does the variance signify, from the graphs?
The red curve is the standard normal distribution.
What does the variance signify, from the graphs?