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Simultaneous linear equation solver supports up to 4 variables; Polynomial equation solver supports up to 4th degree equations and inequalities; Engineering symbols display and entry previously found in MS / W / S / D-series calculators; Periodic table mode with atomic weight information (fx-JP900, fx-991CE X and fx-991RS X only) [9] Models:
Fermat's theorem (stationary points) In mathematics, Fermat's theorem (also known as interior extremum theorem) is a method to find local maxima and minima of differentiable functions on open sets by showing that every local extremum of the function is a stationary point (the function's derivative is zero at that point).
In mathematics, a limit is the value that a function (or sequence) approaches as the argument (or index) approaches some value. [1] Limits of functions are essential to calculus and mathematical analysis, and are used to define continuity, derivatives, and integrals. The concept of a limit of a sequence is further generalized to the concept of ...
A series of linear programming constraints on two variables produce a region of possible values for those variables. Solvable two-variable problems will have a feasible region in the shape of a convex simple polygon if it is bounded. In an algorithm that tests feasible points sequentially, each tested point is in turn a candidate solution.
In particular, one can no longer talk about the limit of a function at a point, but rather a limit or the set of limits at a point. A function is continuous at a limit point p of and in its domain if and only if f(p) is the (or, in the general case, a) limit of f(x) as x tends to p. There is another type of limit of a function, namely the ...
An algebraic Riccati equation is a type of nonlinear equation that arises in the context of infinite-horizon optimal control problems in continuous time or discrete time. A typical algebraic Riccati equation is similar to one of the following: the continuous time algebraic Riccati equation (CARE): or the discrete time algebraic Riccati equation ...
Numerical integration has roots in the geometrical problem of finding a square with the same area as a given plane figure (quadrature or squaring), as in the quadrature of the circle. The term is also sometimes used to describe the numerical solution of differential equations.
The symbol dx, called the differential of the variable x, indicates that the variable of integration is x. The function f(x) is called the integrand, the points a and b are called the limits (or bounds) of integration, and the integral is said to be over the interval [a, b], called the interval of integration. [18]