Section 5-4 Trigonometric Functions
... Assuming a trigonometric function is defined, it can be evaluated exactly without the use of a calculator (which is different from finding approximate values using a calculator) for any integer multiple of 30°, 45°, 60°, 90°, /6, /4, /3, or /2. With a little practice you will be able to determin ...
... Assuming a trigonometric function is defined, it can be evaluated exactly without the use of a calculator (which is different from finding approximate values using a calculator) for any integer multiple of 30°, 45°, 60°, 90°, /6, /4, /3, or /2. With a little practice you will be able to determin ...
NUMERICAL OPTION PRICING IN THE PRESENCE OF BUBBLES
... to the corresponding Black-Scholes equation, compare [1], [3] and [4]. For a discussion on existence and uniqueness of solutions to the Black-Scholes equation in one-dimensional diffusion models with bubbles, see [2]. Numerically, it is not clear how to determine the solution corresponding to the ris ...
... to the corresponding Black-Scholes equation, compare [1], [3] and [4]. For a discussion on existence and uniqueness of solutions to the Black-Scholes equation in one-dimensional diffusion models with bubbles, see [2]. Numerically, it is not clear how to determine the solution corresponding to the ris ...
i + 2 - UBC Math
... y = g(x) = 1 + x2 , and the y-axis. (Hint: what do we mean by ”between” ? Where does this region begin and where does it end?) This problem should be set up in the form of a sum of areas of rectangular strips. You should NOT use previous familiarity with integration techniques to solve it. Solution: ...
... y = g(x) = 1 + x2 , and the y-axis. (Hint: what do we mean by ”between” ? Where does this region begin and where does it end?) This problem should be set up in the form of a sum of areas of rectangular strips. You should NOT use previous familiarity with integration techniques to solve it. Solution: ...
Solving Exponential Equations
... When asked to solve an exponential equation such as 2 x + 6 = 32 or 5 2x – 3 = 18, the first thing we need to do is to decide which way is the “best” way to solve the problem. Some exponential equations can be solved by rewriting each side of the equation using the same base. Other exponential e ...
... When asked to solve an exponential equation such as 2 x + 6 = 32 or 5 2x – 3 = 18, the first thing we need to do is to decide which way is the “best” way to solve the problem. Some exponential equations can be solved by rewriting each side of the equation using the same base. Other exponential e ...
The Robustness-Performance Tradeoff in Markov Decision Processes
... In many decision problems the parameters of the problem are inherently uncertain. This uncertainty, termed parameter uncertainty, can be the result of estimating the parameters from a finite sample or a specification of the parameters that itself includes uncertainty. The standard approach in decisi ...
... In many decision problems the parameters of the problem are inherently uncertain. This uncertainty, termed parameter uncertainty, can be the result of estimating the parameters from a finite sample or a specification of the parameters that itself includes uncertainty. The standard approach in decisi ...
Higher
... calculate an angle in a rightangled triangle. ● Find angles of elevation and angles of depression. ● Use trigonometric ratios to solve problems. ● Know the exact values of the sine, cosine and tangent of some angles. ...
... calculate an angle in a rightangled triangle. ● Find angles of elevation and angles of depression. ● Use trigonometric ratios to solve problems. ● Know the exact values of the sine, cosine and tangent of some angles. ...
Weber problem
In geometry, the Weber problem, named after Alfred Weber, is one of the most famous problems in location theory. It requires finding a point in the plane that minimizes the sum of the transportation costs from this point to n destination points, where different destination points are associated with different costs per unit distance.The Weber problem generalizes the geometric median, which assumes transportation costs per unit distance are the same for all destination points, and the problem of computing the Fermat point, the geometric median of three points. For this reason it is sometimes called the Fermat–Weber problem, although the same name has also been used for the unweighted geometric median problem. The Weber problem is in turn generalized by the attraction–repulsion problem, which allows some of the costs to be negative, so that greater distance from some points is better.