Here is qn excellent article that explains step by step:
http://MasteringElectronicsDesign.com/how-to-derive-the-instrumentation-amplifier-transfer-function/
Vo=(R2/R1)(V2-V1)
Note that this is about maximum power transfer, NOT about maximum efficiency.The source resistance is assumed to be constant; the load resistant variable. If you know about calculus, you can derive the maximum power transferred by writing an expression for the power as a function of the variable load. You need no advanced calculus for this - just derivatives, which are used to get the maximum or minimum of a function (as well as high school algebra, of course). You can find the derivation (for the simplified case of a purely resistive circuit) in the Wikipedia article on "Maximum power transfer theorem", as well as a link to the more general case.
AC RMS Value x 1.414
the Taylor series of sinx
Virtual Functions and Pure Virtual Functions are relevant in the context of class inheritance.Unlike Virtual Functions, Pure Virtual Functions do not require a body. This implies that when a base class defining such a function is inherited, the derived class must implement that function. Furthermore, the base class becomes abstract; meaning you cannot create an instance of the base class even if a body is implemented for the function. You are expected to derive from abstract classes; only the derived classes that implement all the inherited Pure Virtual functions can be instantiated.Here are some examples of Virtual and Pure Virtual function signatures:- Virtual Function: E.g. virtual void myFunction();- Pure Virtual Function: E.g. virtual void myFunction() = 0;
Vo=(R2/R1)(V2-V1)
here we r going to see about the derivation of the reset gain... the instrumentation amplifier which has got two stages that is gain stage and differential stage
derive cost function from production function mathematically, usually done by utilizing mathematical optimization methods.
To derive a cost function from a production function, you can use the concept of input prices and the production technology. By determining the optimal combination of inputs that minimizes cost for a given level of output, you can derive the cost function. This involves analyzing the relationship between input quantities, input prices, and output levels to find the most cost-effective way to produce goods or services.
To derive the Marshallian demand function from a utility function, you can use the concept of marginal utility and the budget constraint. By maximizing utility subject to the budget constraint, you can find the quantities of goods that a consumer will demand at different prices. This process involves taking partial derivatives and solving for the demand functions for each good.
In math, the derivative of a function is the graph of the function's slope, or the rate of change of a function at a given point. In other senses, it means something that is derived, or comes from, something else.
In statistics, the ogive curve is an approximation to the cumulative distribution function. It can be used to obtain various percentiles quickly as well as to derive the probability density function.
To derive the moment generating function of an exponential distribution, you can use the definition of the moment generating function E(e^(tX)) where X is an exponential random variable with parameter λ. Substitute the probability density function of the exponential distribution into the moment generating function formula and simplify the expression to obtain the final moment generating function for the exponential distribution, which is M(t) = λ / (λ - t) for t < λ.
The kinematic equations can be derived by integrating the acceleration function to find the velocity function, and then integrating the velocity function to find the position function. These equations describe the motion of an object in terms of its position, velocity, and acceleration over time.
Gametes do not eat as they are reproductive cells with the sole function of fertilizing to form a zygote. They derive nutrients from the organism they belong to.
To derive the kinematic equations for motion in one dimension, start with the definitions of velocity and acceleration. Then, integrate the acceleration function to find the velocity function, and integrate the velocity function to find the position function. This process will lead to the kinematic equations: (v u at), (s ut frac12at2), and (v2 u2 2as), where (v) is final velocity, (u) is initial velocity, (a) is acceleration, (t) is time, and (s) is displacement.
Average cost = Total cost / number of units of a good produced. So Total cost = Average cost X No. of units of a good produced