Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
A Fourier series is a way to expand a periodic function in terms of sines and cosines. The Fourier series is named after Joseph Fourier, who introduced the series as he solved for a mathematical way to describe how heat transfers in a metal plate.

The GIFs above show the 8-term Fourier series approximations of the square wave and the sawtooth wave.

Clone of Fourier series
Insight diagram
Simulation of MTBF with controls

F(t) = 1 - e ^ -λt 
Where  
• F(t) is the probability of failure  
• λ is the failure rate in 1/time unit (1/h, for example) 
• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime, 
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life
If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life
The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.  

Wearout
The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period. 
Clone of Clone of Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
Insight diagram
The Binary Adder:

Andy Long
Spring, 2020 - Year of Covid-19​

Having constructed a working example of a finite state machine (FSM), from Gersting's 7th edition (p. 730, Example 29), I decided to create a more useful one -- a binary adder (p. 732). It works!

Subject to these rules:
  1. Your two binary numbers should start off the same length -- pad with zeros if necessary. Call this length L.
  2. Now pad your two binary numbers with three extra 0s at the end; this lets the binary-to-decimal conversion execute.
  3. numbers are entered from ones place (left to right).
  4. In Settings, choose "simulation start" as 1, your "simulation length" as L+2 -- two more than the length of your initial input number vectors. (I wish that the Settings issues could be set without having to explicitly change it each time -- maybe it can, but I don't know how.)
Be attentive to order -- start with 1s place, 2s place, 4s, place, etc., and your output answer will be read in the same order.

To understand why we need three additional inputs of 0s:
  1. For the useless first piece of output -- so n -> n+1
  2. For the possibility of adding two binary numbers and ending up with an additional place we need to force out: 111 + 111 = 0 1 1 1
  3. For the delay in computing the decimal number: it reads the preceding output to compute the decimal value.
Clone of Mat385 Finite State Machine (Binary Adder)
10 months ago
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)

Physics: OVERSHOOT GROWTH INTO TURBULENCE
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
Model showing combination of 6 simple machines
Simple Machine
Insight diagram
Problem of the sliding chain
Clone of Sliding Chain
Insight diagram
MAT375: Non-linear Exam....

This insight implements Newton's method as an InsightMaker model.

It is important to use Euler's method, with step-size of 1. That's what allows us to get away with this!:)

Fun to try a couple of different cases, so I have built four choices into this example. You can choose the function ("Function Choice" of 0, 1, 2, or 3) using the slider.

Andy Long
Spring, 2020




Clone of Newton's Method
Insight diagram
MAT375: Non-linear Exam....

This insight implements Newton's method as an InsightMaker model.

It is important to use Euler's method, with step-size of 1. That's what allows us to get away with this!:)

Fun to try a couple of different cases, so I have built four choices into this example. You can choose the function ("Function Choice" of 0, 1, 2, or 3) using the slider.

Andy Long
Spring, 2020




Clone of Newton's Method