Associate Program Material Appendix H Repetition and Decision Control Structures In one of the week 3 discussion questions we discussed the algorithm that would be required to make a peanut butter sandwich. In this CheckPoint you will need to take that one step further and create a program design to make a peanut butter sandwiches. Below you will find a partial program design; you need to complete it by adding the pseudocode in the required areas. You need to add one repetition (loop) control
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CheckPoint: Don’t Count on it IT 205 Joel Balkum The FDCA project is an evolution into the technology age for the U.S. Census Bureau. Implementing handheld electronic devices improves the effectiveness of the collection process because it cuts down the use of paper for recording data‚ it replaces hardcopy maps that collectors would carry to find their way around‚ saves time and money‚ and makes staying organized easier to do which improves data quality and credibility. The problems that the
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b)h a cross section h h lengt b Volume of cone = 1 r2h 3 Curved surface area of cone = rl Volume of sphere = 4 r3 3 Surface area of sphere = 4 r2 r l h r In any triangle ABC b A Sine Rule The Quadratic Equation The solutions of ax2 + bx + c = 0 where a ≠ 0‚ are given by C a B c x= −b ± (b 2 − 4ac) 2a
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What are the strengths and weaknesses of the rational choice approach to understanding the political? Whilst people all around the world debate over which political system is the most effective‚ social scientists are still in debate over which is the best way to analyse politics. Without the correct analysis of political objects how is one supposed to decide which political system or party is the most effective? It is for this reason that the way in which we analyse political objects is
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SENIOR CERTIFICATE EXAMINATION FUNCTIONAL MATHEMATICS P1 STANDARD GRADE 2011 MEMORANDUM MARKS: 150 This memorandum consists of 8 pages. Copyright reserved Please turn over Functional Mathematics/SG/P1 2 SCE – Memorandum DBE/2011 VRAAG 1/QUESTION 1 1.1.1 5 3x + 2 25 2x – 1 .5 x-3 .5 1.1.4 4 - 81 + 1250 1 1 2(-) 4() =2 –3 +1 = 2– 1 – 3 3 + 1 1 = – 27 + 1 1 = – 25 1 1.2.1 4.3x = 36 (5) ∴4.3x = 36 4 4 ∴3x = 9 1 ∴3x = 32 1 ∴x = 2 1 1.2.2 16-x
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Without knowing something about differential equations and methods of solving them‚ it is difficult to appreciate the history of this important branch of mathematics. Further‚ the development of differential equations is intimately interwoven with the general development of mathematics and cannot be separated from it. Nevertheless‚ to provide some historical perspective‚ we indicate here some of the major trends in the history of the subject‚ and identify the most prominent early contributors. Other
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in the social sciences assume that humans can be reasonably approximated or described as "rational" entities (see for example rational choice theory). Many economics models assume that people are on average rational‚ and can in large enough quantities be approximated to act according to their preferences. The concept of bounded rationality revises this assumption to account for the fact that perfectly rational decisions are often not feasible in practice due to the finite computational resources available
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FINANCIAL MATHEMATICS 1. RATE OF RETURN 2. SIMPLE INTEREST 3. COMPOUND INTEREST 4. MULTIPLE CASH FLOWS 5. ANNUITIES 6. LOAN REPAYMENT SCHEDULES Financial Math Support Materials Page 1 of 85 (1) RATE OF RETURN FINANCIAL MATHEMATICS CONCERNS THE ANALYSIS OF CASH FLOWS BETWEEN PARTIES TO A CONTRACT. IF MONEY IS BORROWED THERE IS AN INTIAL CASH INFLOW TO THE BORROWER BUT AFTERWARDS THERE WILL BE A CASH OUTFLOW IN THE FORM OF REPAYMENTS. A person
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variables will ______ result in a(n) _____ solution to the integer linear programming problem. A) always‚ optimal B) always‚ non-optimal C) never‚ non-optimal D) sometimes‚ optimal E) never‚ optimal 5. The branch and bound method of solving linear integer programming problems is an enumeration method. TRUE/FALSE 6. In a mixed integer model‚ all decision variables have integer solution values. TRUE/FALSE 7. For a maximization integer linear programming problem‚ feasible solution
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2 1. Add and subtract rational expressions. 2 3 x x 6 9 x2 4 x x 1 (2) 2 25 x x 5 9x 2 7 (3) 2 2 3x 2 x 8 3x x 4 3x 2 (4) 2 2 2x 9x 5 6x x 2 (1) 2 2. Simplify complex rational expressions. 3 2 (1) x 4 4 x 2 2 x 1 x4 2 6 (2) x 2 x 7 4 x 13 2 x 9 x 15 2 5 3 2 2 y xy x (3) 2 7 3 2 2 y xy x 1 xy 1 (4) 2 2 x y 1 3. Solve rational equations. x 1 2 2 2 x
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