X2

Julia’s Food Booth Case Problem Assignment 3 Max Z =Profit1x1+ Profit2x2+ Profit3x3 A - Formulation of the LP model x1 - number of pizza slice x2 - number of hot dogs x3 - number of barbecue sandwiches Constraints Cost Maximum fund available for food = $1500 Cost per pizza $6 ÷08 (slices) = $0.75 Cost for a hot dog = $0.45 Cost for a barbecue sandwich = $0.90 Constraint: 0.75x1+0.45x2+0.90x3 ≤1500 Oven space Space available 16.3.4.2 = 384ft^2 384

KEY WORDS: Fuzzy set, anti S-fuzzy subsemiring, pseudo anti S-fuzzy coset. INTRODUCTION: There are many concepts of universal algebras generalizing an associative ring ( R ; + ; . ). Some of them in particular, nearrings and several kinds of semirings have been proven very useful. Semirings (called also halfrings) are algebras ( R ; + ; . ) share the same properties as a ring except that ( R ; + ) is assumed to be a semigroup rather than a commutative group. Semirings appear in a natural

Fruit Flies: A Genetic Analysis of Inheritance in Drosophila melanogaster Introduction Mendelian Genetics Gregor Mendel, the father of genetics, discovered principles of inheritance through breeding peas of different color and texture. He crossed several types of peas to investigate dominance relationships, variability, and genetic probability. Through his experiments, he laid down the foundation of inheritance that geneticists use to this day (Griffiths, 2015). From these crosses, Mendel pioneered

MAT101 Case 4 Revised March 2014 (Dr. Rensvold) INSTRUCTIONS: Read the references found on the Background Info page. Study the examples there, and the ones given below. Work out the problems, showing all the computational steps. This is particularly important for those problems for which the answers are given. On those problems, the correct procedure is the only thing that counts toward the assignment grade. SOLVING QUADRATIC EQUATIONS BY FACTORING. References: Waner, 2007 Examples: E1: x

Drosophila Autosomal and Sex-Linked Cross The idea of the project was to experiment breeding Drosophila Melanogaster (fruit fly) to figure out if certain genes of that species were sex linked or not (autosomal). A mono-hybrid cross and di-hybrid cross was performed. For the mono-hybrid cross, white eyed female and red eyed male were placed in one vial for them to reproduce. For the di-hybrid cross, red eyed and normal winged flies and sepia eyed and vestigial winged flies were placed in their vial

Slope: the amount X2 increases given one unit increase of X1 Intercept: the point where the line intersects with X2 axis. Use above for Slope – great formula Redundant Constraints – if removed will not affect the feasible region Feasible Region – The set of all points that satisfy all constraints of the model

Simplify the rational expression. m 2 - 5m - 50 43) 40 - 4m A) - x2 10x - 16 2 - 64 x x2 - 64 -16 s-t D) 8 s-t 3 6 + x x-7 A) 3(3x - 7) x(x - 7) B) 3(3x + 7) x(x - 7) C) 9 x(x - 7) D) 9 2x - 7 Simplify the complex rational expression. 1 1 4 x2 50) 1 1 + 2 x A) x-2 2x B) x+2 2x C) 2x x+2 D) 2x x-2 Solve the equation. 1 20 51) 1 + = x x2 Solve. 56) If 5 apples cost $2.50, how much would 20 apples cost

details, Category X1 X2 ≥ 0 Z 2.25 3.1 Maximum Cotton 5 7.5 ≤ 6500 Processing Time 3 3.2 ≤ 3000 Demand 0 1 ≤ 510 Intercepts X1 X2 Cotton 0 866.6667 6500 1300 0 6500 Processing Time 0 937.5 3000 1000 0 3000 Demand 0 510 510 Now plot the line for cotton using scatter plot for 0, 1300 and 866.6, 0, processing time of 0, 1000 and 0, 510, and Demand of 0,510. The variable X1 can be calculated using simple formula = =MMULT (MINVERSE (B5:C6), E5:E6) which gives X1=456 and X2 =510. We profit under

Nash Arbitration Methods: Game Theory for students without calculus William P. Fox Naval Postgraduate School Abstract We illustrate a method to obtain the solution to Nash arbitration using only methods involving college algebra. A necessary component of the Nash arbitration is the status quo point which is usually the security levels found from the Prudential Strategies. We use linear programming to find these security levels using the SimplexLP of the Solver. We show how golden section search

eight-floor buildings. The complex contains 200 units of equal size (approximately 500 square feet each). Variables • Dependent variable 1. Sale price: Y • Independent variables 1. Floor height: x1 2. Distance from elevator: x2 3. View of the ocean: x3 4. End unit: x4 5. Furniture: x5 Issues identified • To build a regression model that accurately predicts the sale price of a condominium unit sold at