I know the definition of differentiation is about that but why, what problem that requires the potential of knowing the tangent of a curve in order to solve it ??

also, any link or article that gives a clearer idea would be appreciated.]]>

Binary division problem from the textbook

View attachment 120610

Another binary division problem and...

Binary division]]>

eg 100011110101 this numbers of digits

extract:::: //

I tried solve example 4 but getting output 001010 but is not same as solution 001000

Suppose that the input string is x = x1x2 . ....

eg 100011110101 this numbers of digits REQUIRED be the same as number of states?]]>

A common example of time domain plot is a sine waveform of the displacement of an oscillating system (such as a pendulum) VS time.

However, what is the frequency domain? I've looked it up on line, however the explanations are theoretical and vague. So I'm interested in an explanation in your own words rather than just posting a...

What Is The Definition Of "Frequency Domain"?]]>

Right now I am using the following values for mu formula:...

NFC: Calculating the coupling coefficient using a specific formula]]>

My idea is to realize a spectrum analyzer.

If from oscilloscope image can be obtain spectrum by Fourier transform,

Why did not think about a reverse process?: From spectrum to the shape of signal.

Normally you can not, because there is no information about the "initial phase" in spectrum.

This is the problem that I think for quite a long time and I try to...

My fantasy idea: oscilloscope from spectrum analyzer]]>

Ok, I have a resistor of 25,000 ohms with 2% tolerance

The actual measured value is 26,200 which is 5% out

Brute force and online calculator told me I need about 500,000 ohms in parellel to bring that to 24,900...

How to calculate needed parallel resistor value to bring resistor in tolerance]]>

Inspired by Matt Parker’s “Parker Square” video, I decided to write my own magic square of squares bruit force program.

I realise it’s highly unlikely to succeed under any circumstance, but it was an experiment.

Obviously for a real bruit force, you wouldn’t bother drawing to screen for starters.

I’m looking for any tips though. I already think it’s probably a silly idea to use uniform distribution pseudo random numbers.

In this case it’s...

Magic Square of Squares Competition]]>

the question is

draw logic circuit whose input are boolean algebra x,y,z and the output are

1 if and only if x=y x !=z

1 if and only if x=y x=z]]>

Prove given that

Add x^2 to both sides

Complete the square

Take the square root

Subtract x

Hint: P*r***e* L**e*]]>

I need to store a short audio sample in flash memory, to be played back using a PWM DAC (lowpass and all) for a hobby microcontroller project and I thought about storing it as µ-law, given that it's a relatively plain sample-level algorithm.

On W***pedia, it says something about companding. I did a small test: I generated a file with all sample values, converted it to µ-law (using...

what do µ-law and A-law do?]]>

I have several books that discuss the Laplace Transform and how to apply it, but no proof of how it works.

As an example of a simple differential equation that can be solved using Laplace, consider the mass on a spring with damping. We know what the solutions are (equations for growing or decaying oscillations), but how does Laplace make this possible?]]>

A(B+C')(A+B')(B+C+D')

I tried simplifying this just with the help of boolean rules (without k map) and the simplest form of this expression I could get is : A(B+C'D').

So is this correct ?

And please let me know how to plot K Map for this expression .

Thank you.]]>

If I have two independent variables, each with its own mean and standard deviation, how do I compute a combination of the two?

For (a simple) example, lets say I have a population of rectangles. I compute the mean and SD of the length and height of the rectangles in a sample and I know (or determine) the two parameters are independent.

Now, I wish to choose, say 1 SD of...

Two dimensional gaussian distribution]]>

In the attachment there are two closed curves drawn. The top one is shaded, sort of poorly, so the valid curve is the outline of that shape which looks like a potato

The bottom one is not shaded so that shape is more straightforward.

The question is, is either one of these or both really ovals?

It turns out that i think the definition of an oval is a bit loose, but i think they are both ovals mostly because of the equation that describes them.

Note how the top curve is very...

Are These Ovals or Not (potato)?]]>

y = 10(cosx)^-1-10x(sech)^-1

Find Y`

I want to set this up as 10 d/dx (cosx)^-1 - 10d/dx xsech^-1

but I can't seem to come to the same answer my professor did -10 (sechx)^-1

Any tips?]]>

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