Math Trick Trainer for Palm OS is a math/mental training program for all age groups. It is a flash card with unlimited randomly generated math quizes, correct answer is provided as you advances through the quizes
Geo-Matic Polygons, one of several modular applications in the Geo-Matic For The Palm lineup, allows the quick and easy calculation of all 8 major and secondary features of any regular polygon with three or more sides given any of 15 combinations of two input values
MCPI - This program estimates the value of PI by using a well known MonteCarlo Method.
To run the simulation, type the number of cycles you want your Palm to use to estimate PI.
There is a choice of two possible algorithms (Gaussian or area of the circle).
The final value may be quite different from the actual value of PI (3.14159)
Digits of Pi is a simple app that displays the first 100 decimal digits of pi right in the palm of your hand.
It has a simple, uncluttered screen which makes the viewing even easier.
You can view the digits of this mystical number anywhere, anytime!
It is useful for mathematicians, scientists, students, teachers, etc
Scatter Plot from Computer Logiciel is an amazing math program. Scatter Plot enables Palm OS users to give X and Y locations and see them plotted on a large grid right on their Palm Pilot screen! Scatter Plot can also save records of X and Y plots in a memo, connect the plot with a line, and more! This program is a must for any one intrested in math or for any math student
N2 Neural Network - N2 is a neural network for the Palm. N2 requires MathLib.
N2 has the following characteristics:
- Transfer Function = Sigmoid range from -0.5 to 0.5
- Momentum = 0.9
- Number of Input Units = 2
- Number of Hidden Units = 2
- Number of Output Units = 1
N2 has four training patterns. Each pattern consists of two input units and one output unit
M-5 Neural Network Computer - Simulated Neural Networks can outperform traditional computers at some tasks.
M-5 uses the classic Feed Forward Back Propagation algorithm to adjust connection strengths (weights).
It uses floating point math to provide results equivalent to or surpassing those of desktop systems costing hundreds of dollars
RatBrain uses the classic Feed Forward Back Propagation algorithm to adjust connection strengths (weights). It can have up to eight variables on the Input layer, has three neurons in the Hidden layer and an Output neuron.
It uses four Memo files . The NNtrain file contains the data to train the Neural Net.
Use the Palm 'Memo Pad' to create the files