Time Units Symbols and S Values S = Seconds per Time Unit |
| Symbol | Time Units | S | Distance Units |
| S | Seconds | 1 | Light Seconds |
| M | Minutes | 60 | Light Minutes |
| H | Hours | 3600 | Light Hours |
| D | Days | 86400 | Light Days |
| W | Weeks | 604800 | Light Weeks |
| Y | Years | 31557600 | Light Years |
When performing the relativistic computations, 1 standard year = 365.25 days.
If the time units selected are years, then distances must be reckoned in Light Years. If the time units used are days, then distances must be reckoned in Light Days. etc.
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Jay Tanner - https://www.PHPScienceLabs.com
Midpoint
$Length$ = Source Cardboard Length
$Width$ = Source Cardboard Width
$H^1$
$H^2$
$A ≠ 0$
$L$ = Length of Box
$W$ = Width of Box
V = Volume of Box
$x$ = Depth of Box
$V$ = Volume of Box = $(L - 2x)\times(W - 2x) \times x$
$V$ = $L~\times~W~\times~x$
$V$ = $(L - 2x)\times(W - 2x) \times x$
$V$ = $4x^3 - 2(L + W)x^2 ~+~ (L \times W)$
Box floor area = (Box Length)$\times$(Box Width)
Box floor area = $(L - 2x)\times(W - 2x)$
$x$ = Box Depth or Height
Volume = (Box Length)$\times$(Box Width)$\times$(Box Depth or Height)
Solving for the first derivative of (V) with respect to (x) gives:
$dV/dx = 12x^2 ~-~ 4(L ~+~ W)x ~+~ (L ~\times~ W)$
Solve quadratic for ($x$):
$12x^2 ~-~ 4(L ~+~ W)x ~+~ (L ~\times~ W) = 0$
$A$ = $12$
$B$ = $-4(L ~+~ W)$
$C$ = $(L ~\times~ W)$
$x = \left(\Large\frac{-B~±~{\sqrt {B^2 ~-~ 4AC}}}{2A} \right)$
$x = \left(\Large\frac{-B}{2A} \right) ± \left(±\Large\frac{{\sqrt {B^2 ~-~ 4AC}}}{2A} \right)$
$Ax^2 + Bx + C = 0$
$x = \left(\Large\frac{4(L ~+~ W)~±~{\sqrt {-4(L ~+~ W)^2 ~-~ 4~\times~12~\times~(L \times W)}}}{2~\times~12} ~\right)$
$x = \left(\Large\frac{4(L ~+~ W)~±~{\sqrt {-4(L ~+~ W)^2 ~-~ 48~\times~(L ~\times~ W)}}}{24} ~\right)$
This can be simplified by dividing through by 4, to obtain:
$x = \left(\Large\frac{{L ~+~ W ~±~ \sqrt {(L ~~+~~ W)^2 ~-~ 3(L ~\times~ W)}}}{6} ~\right)$
The general solution is to equate the first derivative of
volume (V) with respect to (
x) to zero and solve for (
x).
$$\left(\frac{t_{2}}{t_{1}}\right)^2 = ~ \left(\frac{d_{2}}{d_{1}}\right)^3$$
$$t_{1} ~ = ~ \large \frac{t_{2}}{ \sqrt{\left(\Large\frac{d_{2}}{d_{1}}\right)^3}}$$
$$t_{2} ~ = ~ {t_{1}\cdot\sqrt{\left(\frac{d_{2}}{d_{1}}\right)^3}}$$
$$d_{1} ~ = ~ \large \frac{d_{2}}{\sqrt[3]{\left(\Large\frac{t_{2}}{t_{1}}\right)^2}}$$
$$d_{2} ~ = ~ \large d_{1} \cdot {\sqrt[3]{\left(\frac{t_{2}}{t_{1}}\right)^2}}$$
$$\sqrt{\left(\frac{d_{2}}{d_{1}}\right)^3}$$
$$T = \frac{JD - 2451545}{36525}$$
$$t = \frac{JD - 2451545}{365250} = \frac{T}{10}$$
$$X = \sum_{i=0}^5 x_{i} = {x_{0}+x_{1}+x_{2}+x_{3}+x_{4}+x_{5}}$$
$$Y = \sum_{i=0}^5 y_{i} = {y_{0}+y_{1}+y_{2}+y_{3}+y_{4}+y_{5}}$$
$$Z = \sum_{i=0}^5 z_{i} = {z_{0}+z_{1}+z_{2}+z_{3}+z_{4}+z_{5}}$$
$$x_{n} = \left(\sum_{j=1}^k A_{X,n,j} \cdot {cos(B_{X,n,j} + t \cdot C_{X,n,j})}\right) \cdot t^n$$
$$y_{n} = \left(\sum_{j=1}^k A_{Y,n,j} \cdot {cos(B_{Y,n,j} + t \cdot C_{Y,n,j})}\right) \cdot t^n$$
$$z_{n} = \left(\sum_{j=1}^k A_{Z,n,j} \cdot {cos(B_{Z,n,j} + t \cdot C_{Z,n,j})}\right) \cdot t^n$$
$$X = \sum_{n=0}^5\left(\left(\sum_{j=1}^k A_{X,n,j} \cdot {cos(B_{X,n,j} + t \cdot C_{X,n,j})}\right) \cdot t^n\right)$$
$$Y = \sum_{n=0}^5\left(\left(\sum_{j=1}^k A_{Y,n,j} \cdot {cos(B_{Y,n,j} + t \cdot C_{Y,n,j})}\right) \cdot t^n\right)$$
$$Z = \sum_{n=0}^5\left(\left(\sum_{j=1}^k A_{Z,n,j} \cdot {cos(B_{Z,n,j} + t \cdot C_{Z,n,j})}\right) \cdot t^n\right)$$
$$L = \sum_{i=0}^5 l_{i} = {l_{0}+l_{1}+l_{2}+l_{3}+l_{4}+l_{5}}$$
$$B = \sum_{i=0}^5 b_{i} = {b_{0}+b_{1}+b_{2}+b_{3}+b_{4}+b_{5}}$$
$$R = \sum_{i=0}^5 r_{i} = {r_{0}+r_{1}+r_{2}+r_{3}+r_{4}+r_{5}}$$
$$l_{n} = \left(\sum_{j=1}^k A_{L,n,j} \cdot {cos(B_{L,n,j} + t \cdot C_{L,n,j})}\right) \cdot t^n$$
$$b_{n} = \left(\sum_{j=1}^k A_{B,n,j} \cdot {cos(B_{B,n,j} + t \cdot C_{B,n,j})}\right) \cdot t^n$$
$$r_{n} = \left(\sum_{j=1}^k A_{R,n,j} \cdot {cos(B_{R,n,j} + t \cdot C_{R,n,j})}\right) \cdot t^n$$
$$L = \sum_{n=0}^5\left(\left(\sum_{j=1}^k A_{L,n,j} \cdot {cos(B_{L,n,j} + t \cdot C_{L,n,j})}\right) \cdot t^n\right)$$
$$B = \sum_{n=0}^5\left(\left(\sum_{j=1}^k A_{B,n,j} \cdot {cos(B_{B,n,j} + t \cdot C_{B,n,j})}\right) \cdot t^n\right)$$
$$R = \sum_{n=0}^5\left(\left(\sum_{j=1}^k A_{R,n,j} \cdot {cos(B_{R,n,j} + t \cdot C_{R,n,j})}\right) \cdot t^n\right)$$
$$n! = \prod_{1}^n {x} = {1 \times 2 \times 3 \times \cdot\cdot\cdot \times~n}$$
$$\frac{a}{b} ± \frac{c}{d} = \frac{a \cdot d ~±~ b \cdot c}{b \cdot d}$$
$$\frac{a}{b} + \frac{c}{d} = \frac{a \cdot d ~+~ b \cdot c}{b \cdot d}$$
$$\frac{a}{b} - \frac{c}{d} = \frac{a \cdot d ~-~ b \cdot c}{b \cdot d}$$
$$\frac{a}{b} \cdot \frac{c}{d} = \frac{a \cdot c}{b \cdot d}$$
$$\frac{\left(\Large \frac{a}{b}\right)}{\left(\Large \frac{c}{d}\right)} = \frac{a \cdot d}{b \cdot c}$$
$$N_{th} ~ {Root ~of ~ (x) ~ Equation}$$
$$b ~=~ \frac{\frac{\Large x}{\left(\Large a^{\large N-1}\right)} ~+~ a \cdot (N-1)}{N}$$
$$log~{x} = \log_{10}\left({x}\right)$$
$$ln ~ x = \log_{e}\left({x}\right)$$
$$ln ~ x = \log_{e}\left({x}\right)$$
$$The~mean~of~a~population~or~sample~of~(x_{i})~values$$
$$\mu = \frac{1}{N} \cdot \sum_{i=1}^N ~ x_{i} ~=~ \frac{x_{1} ~+~ x_{2} ~+~ x_{3} ~+~ \cdot\cdot\cdot ~+~ x_{N}}{N}$$
$$\bar{x} = \frac{1}{N} \cdot \sum_{i=1}^N ~ x_{i} ~=~ \frac{x_{1} ~+~ x_{2} ~+~ x_{3} ~+~ \cdot\cdot\cdot ~+~ x_{N}}{N}$$
$$Sum~of~squares~of~differences~from~mean$$
$$\sum_{i=1}^N ~ (x_{i} - \mu)^2$$
$$\sum_{i=1}^N ~ (x_{i} - \bar{x})^2$$
$$\sum_{i=1}^N ~ (y_{i} - \mu)^2$$
$$\sum_{i=1}^N ~ (y_{i} - \bar{x})^2$$
$$\sum_{i=1}^N ~ (x_{i} - \mu)^2 ~=~ (x_{1}-\mu)^2 ~+~ (x_{2}-\mu)^2 ~+~ (x_{3}-\mu)^2 ~+~ \cdot\cdot\cdot ~+~ (x_{N}-\mu)^2$$
$$\sum_{i=1}^N ~ (x_{i} - \bar{x})^2 ~=~ (x_{1}-\bar{x})^2 ~+~ (x_{2}-\bar{x})^2 ~+~ (x_{3}-\bar{x})^2 ~+~ \cdot\cdot\cdot ~+~ (x_{N}-\bar{x})^2$$
$$Population~Standard~Deviation$$
$$\sigma = \sqrt{\frac{1}{N} \cdot \sum_{i=1}^N ~ (x_{i} - \mu)^2}$$
$$\sigma = \sqrt{\frac{1}{N} \cdot \sum_{i=1}^N ~ \left(x_{i} - \left({\frac{1}{N} \cdot \sum_{i=1}^N ~ x_{i}}\right)\right)^2}$$
$$\sigma = \sqrt{\frac{1}{N} \cdot \sum_{i=1}^N ~ \left(x_{i} - \left(\frac{x_{1} ~+~ x_{2} ~+~ x_{3} ~+~ \cdot\cdot\cdot ~+~ x_{N}}{N} \right)\right)^2}$$
$$The~mean~of~a~population~of~(y_{i})~values$$
$$\mu = \frac{1}{N} \cdot \sum_{i=1}^N ~ y_{i} ~=~ \frac{y_{1} ~+~ y_{2} ~+~ y_{3} ~+~ \cdot\cdot\cdot ~+~ y_{N}}{N}$$
$$Population~Standard~Deviation$$
$$\sigma = \sqrt{\frac{1}{N} \cdot \sum_{i=1}^N ~ (y_{i} - \mu)^2}$$
$$\sigma = \sqrt{\frac{1}{N} \cdot \sum_{i=1}^N ~ \left(y_{i} - \left({\frac{1}{N} \cdot \sum_{i=1}^N ~ y_{i}}\right)\right)^2}$$
$$\sigma = \sqrt{\frac{1}{N} \cdot \sum_{i=1}^N ~ \left(y_{i} - \left(\frac{y_{1} ~+~ y_{2} ~+~ y_{3} ~+~ \cdot\cdot\cdot ~+~ y_{N}}{N} \right)\right)^2}$$
$$P(N,R) ~=~ \frac{N!}{(N-R)!}$$
$$C(N,R) ~=~ \frac{N!}{R!(N-R)!}$$
$$y ~=~ \sum_{i~=~1}^{N}\left(y_{i} \cdot \prod_{j~=~1, ~~~ j~\ne~{i}}^{N} \left(\frac{x - x_{j}}{x_{i} - x_{j}}\right)\right)$$
$$k ~=~ \sqrt[5]{100} ~=~ 2.5118864315095801$$
$$b ~=~ (\sqrt[5]{100}) ^ {~m_{2} ~-~ m_{1}} ~=~ k ~ ^ {~(m_{2} ~-~ m_{1})}$$
$$m_{~2} ~=~ 5\times\log_{10} (\frac{d_{~2}}{d_{~1}}) + m_{~1}$$
$$m_{~1} ~=~ m_{~2} ~-~ 5\times\log_{10} (\frac{d_{~2}}{d_{~1}})$$
$$m_{~2} ~-~ m_{~1} ~=~ 5\times\log_{10} (\frac{d_{~2}}{d_{~1}})$$
$$\frac{1}{5} \times (m_{~2} ~-~ m_{~1}) ~=~ \log_{10} (\frac{d_{~2}}{d_{~1}})$$
$${10 ^ {\frac{1}{5} \times (m_{~2} ~-~ m_{~1})}} ~=~ \frac{d_{~2}}{d_{~1}}$$
$$d_{2} ~=~ d_{1} \times {10^{\frac{1}{5} \times (m_{~2} ~-~ m_{~1})}}$$
$$d_{1} ~=~ \frac{d_{2}}{10^{\frac{1}{5} \times (m_{~2} ~-~ m_{~1})}}$$
$${\large 10 ^ {\frac{1}{5} \cdot (m_{~2} ~-~ m_{~1})}} ~=~ \frac{d_{~2}}{d_{~1}}$$
$$m ~=~ 5\cdot\log_{10} (d_{AU}) ~-~ 26.74$$
$$m ~=~ 5\cdot\log_{10} (d_{LY}) ~-~ 2.735$$
$$m ~=~ 5\cdot\log_{10} (d_{pc}) ~-~ 0.1679$$
$M$
$$r ~=~ \frac{d}{\frac{\Large 1}{\Large sin(\LARGE\frac{a}{2})} ~-~ 1}$$
$$d ~=~ r ~\cdot~ \left(\frac{1}{sin(\Large\frac{a}{2})} ~-~ 1 \right)$$
$$y = \sum_{i=0}^{n-1}\left(y_{i} \cdot \prod_{j=0, ~~ j\ne{i}}^{n-1} \left(\frac{x - x_{j}}{x_{i} - x_{j}}\right)\right)$$
$$\alpha = 2 \times tan{^{-1}}\left( \frac{{R}}{D} \right) $$
$$Where:~~ R > 0 ~~and~~ D > R$$
$\alpha = 2 \times cos{^{-1}}\left(\frac{{\sqrt {D~^2 ~-~ R~^2}}}{D} \right)$
$Where:~~ R > 0 ~~and~~ D > R$