Equations: 7x+4y = 9 and 2x+3y = 1
Multiply all terms in the 1st equation by 2 and all terms in the 2nd equation by 7
So: 14x+8y = 18 and 14x+21y = 7
Subtract the 1st equation from the 2nd equation: 13y = -11 => y = -11/13
By substituting y = -11/13 into any of the equations x = 23/13
Therefore the solutions are: x = 23/13 and y = -11/13
Eqn (A): => 2x + 5y = 16 Eqn (B): => 5x + 2y = -2 5*Eqn (A) - 2*Eqn (B): 21y = 84 => y = 4 Substituting for y in Eqn (a): x = -2
If: y = 3x+4 and y = 2-7x Then: 3x+4 = 2-7x So: 3x+7x = 2-4 => 10x = -2 => x = -1/5 By substitution: y = 17/5 Solution: x = -1/5 and y = 17/5
To solve ordinary differential equations (ODEs) using two-stage semi-implicit inverse Runge-Kutta schemes, you first discretize the time variable into small steps. In each time step, you compute intermediate stages that incorporate both explicit and implicit evaluations of the ODE, allowing for the treatment of stiff terms. Specifically, the scheme involves solving a system of equations derived from the implicit stages to update the solution at each time step. This method provides better stability properties for stiff problems compared to explicit methods.
The five stages of the problem-solving process are: 1) Identifying the Problem - clearly defining the issue at hand, 2) Analyzing the Problem - gathering relevant information and understanding the root causes, 3) Generating Solutions - brainstorming possible solutions or alternatives, 4) Evaluating Solutions - assessing the feasibility and potential impact of each option, and 5) Implementing and Monitoring - putting the chosen solution into action and evaluating its effectiveness over time. This structured approach helps ensure thorough consideration and effective resolution of problems.
Operations research typically involves several key stages: problem definition, where the issue is clearly identified and formulated; model formulation, where a mathematical model representing the problem is developed; solution methods, where algorithms or techniques are applied to find optimal solutions; and implementation, where the results are put into practice and monitored for effectiveness. Finally, there's often a feedback stage for refining the model based on real-world outcomes.
Eqn (A): => 2x + 5y = 16 Eqn (B): => 5x + 2y = -2 5*Eqn (A) - 2*Eqn (B): 21y = 84 => y = 4 Substituting for y in Eqn (a): x = -2
1 If: 2x+5y = 16 and -5x-2y = 2 2 Then: 2*(2x+5y =16) and 5*(-5x-2y = 2) is equvalent to the above equations 3 Thus: 4x+10y = 32 and -25x-10y = 10 4 Adding both equations: -21x = 42 or x = -2 5 Solutions by substitution: x = -2 and y = 4
identify the problem, determine options, implement solutions
Waterfall is one of the software development life cycle model. Waterfall model has five stages.
If: y = 3x+4 and y = 2-7x Then: 3x+4 = 2-7x So: 3x+7x = 2-4 => 10x = -2 => x = -1/5 By substitution: y = 17/5 Solution: x = -1/5 and y = 17/5
Points: (7, 5) Equation: 3x+4y-16 = 0 Perpendicular equation: 4x-3y-13 = 0 Equations intersect at: (4, 1) Length of perpendicular line: 5
identifying a problem thinking of possible solutions deciding on the best solution communicating implement evaluate (:
The stages in the route to enquiry typically include awareness (identifying a problem or need), consideration (researching potential solutions), evaluation (comparing options), decision (making a choice), and post-purchase evaluation (reflecting on the experience).
Equation: 3x+4y-16 = 0 Perpendicular equation: 4x-3y-13 = 0 Both equations intersect at: (4, 1) Perpendicular distance: square root of (7-4)2+(5-1)2 = 5
Simultaneous product development, or concurrent engineering, offers several advantages, including reduced time-to-market by overlapping different stages of the development process. It enhances collaboration among cross-functional teams, leading to improved communication and faster problem-solving. Additionally, it allows for early identification of potential issues, which can minimize costs and resource wastage. Overall, this approach fosters innovation and adaptability in response to market demands.
Points: (4, -2) Equation: 2x-y-5 = 0 Perpendicular equation: x+2y = 0 Equations intersect at: (2, -1) Perpendicular distance is the square root of: (2-4)2+(-1--2)2 = 5 Distance = square root of 5
To solve ordinary differential equations (ODEs) using two-stage semi-implicit inverse Runge-Kutta schemes, you first discretize the time variable into small steps. In each time step, you compute intermediate stages that incorporate both explicit and implicit evaluations of the ODE, allowing for the treatment of stiff terms. Specifically, the scheme involves solving a system of equations derived from the implicit stages to update the solution at each time step. This method provides better stability properties for stiff problems compared to explicit methods.