There are 25.4 mm in 1 inch, therefore 5 mm = .2" (actually a hair less)

Direct Conversion Formula5 mm*

1 in

25.4 mm

=

0.1968503937 in

Minnesota won the NIT tournament in the year 2014.

Simple harmonic motion is a type of periodic motion where the restoring force is directly proportional to the displacement from equilibrium. Practical examples include a swinging pendulum or a mass-spring system. Periodic motion, on the other hand, refers to any repeated motion that follows the same path at regular intervals, such as the motion of a wheel rotating. So, while all simple harmonic motion is periodic, not all periodic motion is necessarily simple harmonic.

An inch is 2.54 centimeters, so 7.6 centimeters converts to 2.99 inches.

3 inches is equal to 7.62 centimeters.

One centimeter is approximately equal to 0.3937 inches. Therefore, 10 centimeters is roughly equal to 3.937 inches.

8x - 9 = 9x - 5

8x - 8x - 9 = 9x - 8x - 5

-9 = x - 5

-9 + 5 = x - 5 + 5

-4 = x

ax - b = c

Add 'b' to both sides

ax = c + b

Divide both sides by 'a'

x = (c + b) / a

The answer!!!!!

Newton was outraged because he believed that Leibniz had stolen his ideas on calculus. Newton and Leibniz both independently developed calculus, but Newton felt that Leibniz had plagiarized his work. This led to a bitter dispute between the two mathematicians known as the "calculus priority dispute."

Linearly 100 cm = 1 m

Area = 100cm X 100 cm = 1 m x 1m

=>

10000 cm^(2) = 1 m^(2)

So 1000 cm^(2) does NOT equal 1 m^(2)

1 cubic meter = 1000 liter = 10 6 cubic centimeter
1 liter = 1000 milliliter

1 cubic meter = 10 6 milliliter

8000 meters multiplied by 20 meters equals 160,000 square meters.

Limits were developed in mathematics to describe the behavior of functions as they approach specific values or points. They allow us to analyze and understand the behavior of functions at points where they may not be defined or may have discontinuities. Limits are fundamental in calculus for defining concepts like derivatives and integrals.

Y*Y would equal y2 in algebra, however there is no specific value to the variable y. If that question also said "Y=2," then 2*2 would equal 22 or 4.

3/8 + 1/2 =

3/8 + 4/8 =

7/8

-14

It is 2400000.

This appears to be a homeopathic remedy formulation containing Avena sativa, Ferrum phosphoricum, Magnesia phosphorica, Natrum phosphoricum, and Calcarea phosphorica in low potencies. Gum Arabic and lactose are used as inactive ingredients. Passiflora incarnata is included as an active ingredient known for its calming properties, often used for conditions like anxiety and insomnia. Always consult with a healthcare provider before taking any new supplement or homeopathic remedy.

The square roots are -19 and +19.

It depends on the relationship between x and y.

Finite math is a branch of mathematics that focuses on mathematical concepts that have finite, specific values or elements. It typically includes topics such as logic, set theory, probability, statistics, and linear algebra, which are applied to real-world problems with a limited number of possibilities. Finite math is often used in business, social sciences, and computer science to model practical situations.

Say you have a function of a single variable, f(x). Then there is no ambiguity about what you are taking the derivative with respect to (it is always with respect to x).

But what if I have a function of a few variables, f(x,y,z)? Now, I can take the derivative with respect to x, y, or z. These are "partial" derivatives, because we are only interested in how the function varies w.r.t. a single variable, assuming that the other variables are independent and "frozen".

e.g., Question: how does f vary with respect to y? Answer: (partial f/partial y)

Now, what if our function again depends on a few variables, but these variables themselves depend on time: x(t), y(t), z(t) --> f(x(t),y(t),z(t))? Again, we might ask how f varies w.r.t. one of the variables x,y,z, in which case we would use partial derivatives. If we ask how f varies with respect to t, we would do the following:

df/dt = (partial f/partial x)*dx/dt + (partial f/partial y)*dy/dt + (partial f/partial z)*dz/dt

df/dt is known as the "total" derivative, which essentially uses the chain rule to drop the assumption that the other variables are "frozen" while taking the derivative.

This framework is especially useful in physical problems where I might want to consider spatial variations of a function (partial derivatives), as well as the total variation in time (total derivative).

The angle of refraction can be calculated using Snell's Law: n₁sin(θ₁) = n₂sin(θ₂), where n₁ is the refractive index of air (1.00), θ₁ is the angle of incidence (35 degrees), n₂ is the refractive index of the plastic (1.49), and θ₂ is the angle of refraction. Plugging in the values gives: (1.00)sin(35) = (1.49)sin(θ₂). Solving for θ₂ gives an angle of refraction of approximately 23.6 degrees.