
Mathematical Modeling – Introduction and early examples
... number of nickels and y= number of dimes. The natural next step is to create a system of two equations with two unknowns: the first one describing the fact that there are 11 coins all together: x + y = 11 and the second one describing the fact that the value of x many coins worth 5 cents each and th ...
... number of nickels and y= number of dimes. The natural next step is to create a system of two equations with two unknowns: the first one describing the fact that there are 11 coins all together: x + y = 11 and the second one describing the fact that the value of x many coins worth 5 cents each and th ...
Problem 1 - Dartmouth Math Home
... (a) Find the exponential form of the Fourier series of f by evaluating the integrals giving the coefficients of the series. (b) By grouping the terms in the series of part (a) appropriately, find the trigonometric form of the Fourier series of f . (You can check your work by observing that any funct ...
... (a) Find the exponential form of the Fourier series of f by evaluating the integrals giving the coefficients of the series. (b) By grouping the terms in the series of part (a) appropriately, find the trigonometric form of the Fourier series of f . (You can check your work by observing that any funct ...
Mathematical optimization

In mathematics, computer science and operations research, mathematical optimization (alternatively, optimization or mathematical programming) is the selection of a best element (with regard to some criteria) from some set of available alternatives.In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations comprises a large area of applied mathematics. More generally, optimization includes finding ""best available"" values of some objective function given a defined domain (or a set of constraints), including a variety of different types of objective functions and different types of domains.