That's pretty clear, with some exercices to complete in ice or vex :)
Thank you, that's enormous !

On Wed, Aug 10, 2016 at 12:04 AM, Sebastien Sterling <
sebastien.sterl...@gmail.com> wrote:

> Dem knowledge bombs ! O-o
>
> On 9 August 2016 at 23:51, Matt Lind <speye...@hotmail.com> wrote:
>
>> A derivative is one of the key fundamental concepts of calculus.
>>
>> The derivative’s most common use is to compute the slope at a specified
>> location on a curve, but has many other purposes too.  When applied to 3
>> dimensions, a derivative of a surface is the same concept resulting in a
>> vector tangent to a surface at the specified location.
>>
>> Basically a derivative transforms an equation into another (usually
>> simpler) form to isolate certain properties.  The meaning of the properties
>> vary according to the context which the equation is defined.  If the
>> derivative is applied recursively, the equation gets further isolated
>> (simplified).....which can be good or bad depending on your needs.  You can
>> always take a derivative of an equation, but the result won't always be
>> useful.
>>
>> example:
>>
>> equation of a parabola with root at coordinate (3,4) and opening
>> upwards:
>>     y = (x-3)2 + 4
>> When you specify a value of x, you get the value of Y at that X
>> coordinate.  In this case, if x = 5, then Y = 8 meaning the curve passes
>> through point (5,8).  that’s simple Algebra.
>>
>> If you take the derivative of the equation, you get:
>>     y' = 2x - 6
>> This equation describes the slope of the curve (eg; slope of tangent
>> line) at a specified X coordinate.  If we want the slope at coordinate
>> (5,8), then insert X=5 into the equation to get a slope value of 4 which
>> indicates the tangent line rises 4 units in Y for every one unit it
>> increases in X at coordinate (5,8).  Insert a different X value, and you'll
>> likely get a different slope as a result because the shape of the curve is
>> continuously changing as you travel along it.
>>
>> Take the derivative of the slope equation and you'll get:
>>     y'' = 2
>> This equation represents the concavity of the curve.  The concavity
>> defines whether the curve is opening up or down at the specified X
>> coordinate.  Since there is no X variable in the equation anymore, it
>> reduces to a constant indicating the curve is always opening upwards
>> (because the constant is positive, and the curve is a parabola) regardless
>> of the X coordinate.  When used in conjunction with the slope equation,
>> other information can be obtained such as where the local minima and maxima
>> exist, as well as where the critical points occur (location where concavity
>> flips between opening up vs. opening down).
>>
>> Take the derivative again and you’ll get:
>>     y’’’ = 0
>> This isn’t useful.  so we stop.
>>
>> the single quote symbol is called ‘prime’ and indicates how many
>> generations of derivatives the original equation has gone through.  y’’’
>> means the derivative was applied 3 times in succession.  There are other
>> notations to indicate the same thing.  Prime is considered a shorthand
>> notation and often frowned upon by more serious mathematicians and
>> scientists as it can be ambiguous in more complicated contexts.
>>
>> the (nearly) opposite of the derivative is the integral (infinite sum)
>> and also a key fundamental concept of calculus.  Integrals are
>> significantly more difficult as they often involve fabricating
>> variables/values out of thin air and adjusting them to fit a specific
>> scenario whose rules and boundaries aren’t entirely known.
>>
>> To complete that thought, here is how the integral would be applied to
>> the above equations.  First, take the integral of the concavity equation
>> y’’=2 to get:
>>     y’ = 2x + C
>> where ‘C’ is an arbitrary constant (offset) whose value is not yet
>> known.  We must resolve X and/or Y before we can determine the value of C.
>> But I’ll skip that lesson for now and move on.
>>
>> If we apply the integral to the integrated slope equation, we get:
>>     y = x2 + C1x + C2
>> Which looks quite different from the original parabolic equation we
>> started with [y= (x-3)2 + 4].  The ‘C’ from the previous equation was
>> renamed C1 and the new ‘C’ introduced from integration was named ‘C2’.
>> Some people prefer to merge the two C’s, which is legal, but can send you
>> down a more difficult path to solution in some cases – it’s one of those
>> things you learn from experience rather than rote rules.  Keep in mind, we
>> have yet to determine ‘C’, but when we do, the equations will be rearranged
>> and proven equivalent even if the final form is different.  That’s the fun
>> of calculus.
>>
>> The above example is trivial, but real life can be quite messy,
>> complicated, and not always solvable.  Take course(s) in calculus to learn
>> more.  the concepts appear frequently in many areas of 3D animation
>> including curves, surfaces, rendering, simulations, and more.
>>
>>
>> A simple application of such information is computing paths of
>> projectiles.  The original equation defines the path of the projectile over
>> time.  The slope equation indicates the direction of travel at a given
>> point on the path.  The concavity equation can tell you which direction the
>> subject is rising (or falling) and/or which way gravity and other forces
>> are applied to the projectile.  Minima and maxima can tell you the maximum
>> or minimum height the projectile will reach.  Derivatives and integrals can
>> also tell you the velocity and acceleration of the projectile at specific
>> points in time.  And so on.  A course in calculus will teach you the
>> fundamentals of how to compute derivatives and integrals in various
>> contexts, and a few use cases.  But physics and the sciences will push you
>> to use those tools in context of something useful.
>>
>>
>> Matt
>>
>>
>>
>>
>>
>> Date: Tue, 9 Aug 2016 21:26:49 +0200
>> From: Olivier Jeannel <facialdel...@gmail.com>
>> Subject: Re: Reminiscing
>> To: "softimage@listproc autodesk. com"
>>
>>
>> Would love some clearer info though. I don't know what's a derivative for
>> a
>> vector and how to compute some. There must be tons of applications and
>> uses
>> for such knowledge for sure.
>>
>> Le 9 ao?t 2016 18:17, "Andy Nicholas" <a...@andynicholas.com> a ?crit :
>>
>>
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