What are the dimensions of a parcel with 2322m3 volume and minimal string usage?

In summary, optimisation problem solving is a process that involves finding the best solution for a given problem while considering all the constraints and limitations. The steps involved include problem identification, formulation, data collection and analysis, model building, solution implementation, and evaluation. Some common techniques used include linear programming, dynamic programming, gradient descent, simulated annealing, and genetic algorithms. The key factors to consider are the objective, constraints, available resources, and potential trade-offs. This approach is widely used in various fields of science, such as engineering, economics, computer science, and operations research, to solve real-world problems.
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A rectangular parcel with square ends is tied up with string, which passes once around the parcel lengthwise and once crosswise. If the volume of the parcel is 2322m3, find its dimensions if the length of string used to tie it is to be minimised.

V = lwh = 2322

Let D be the dimensions function

D = 2l + 2h + 4w

I am a bit stuck here now because there are three variables and I can't use simultaneous equations to then make D with respect to l or h or w.

Did I interpret the question wrong?
 
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"A rectangular parcel with square ends" ...
 

Related to What are the dimensions of a parcel with 2322m3 volume and minimal string usage?

1. What is optimisation problem solving?

Optimisation problem solving is a process of finding the best solution for a given problem, considering all the constraints and limitations. It involves identifying the most efficient or effective way to achieve a specific goal or objective.

2. What are the steps involved in optimisation problem solving?

The steps involved in optimisation problem solving typically include problem identification, formulation, data collection and analysis, model building, solution implementation, and evaluation. These steps may vary depending on the specific problem and approach used.

3. What are some common techniques used in optimisation problem solving?

Some common techniques used in optimisation problem solving include linear programming, dynamic programming, gradient descent, simulated annealing, and genetic algorithms. These techniques use mathematical and computational methods to find the best solution for a problem.

4. What are the key factors to consider in optimisation problem solving?

The key factors to consider in optimisation problem solving include the objective or goal to be achieved, constraints and limitations, available resources, and potential trade-offs. It is important to also consider the practicality and feasibility of the solution in real-world scenarios.

5. How is optimisation problem solving used in different fields of science?

Optimisation problem solving is widely used in various fields of science, including engineering, economics, computer science, and operations research. It can be applied to solve problems related to resource allocation, production planning, scheduling, and many other real-world challenges.

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