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hindsmaths Adapting the cost matrix to allow it to be used to maximise costs (like profit) before using the Hungarian algorithm 0:00 ... hindsmaths Adapting a cost matrix to deal with incomplete data, before using the Hungarian algorithm to minimise or maximise ...

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  • If you are preparing for your D2 examination (A2 mathematics/further mathematics) you may find this useful.

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Image Reference Set

2.5 Linear programming (Decision 2 - Chapter 2: Allocation problems)
2.3 Maximum profit allocation (Decision 2 - Chapter 2: Allocation problems)
The Allocation Problem 2
Linear Programming Optimization (2 Word Problems)
Linear Programming (Optimization) 2 Examples Minimize & Maximize
2.2 Using a dummy  (Decision 2 - Chapter 2: Allocation problems)
Linear Programming
2.1 The Hungarian algorithm  (Decision 2 - Chapter 2: Allocation problems)
D2 Linear Programming Formulation of Allocation
2.4 Managing incomplete data (Decision 2 - Chapter 2: Allocation problems)
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2.5 Linear programming (Decision 2 - Chapter 2: Allocation problems)

2.5 Linear programming (Decision 2 - Chapter 2: Allocation problems)

Read more details and related context about 2.5 Linear programming (Decision 2 - Chapter 2: Allocation problems).

2.3 Maximum profit allocation (Decision 2 - Chapter 2: Allocation problems)

2.3 Maximum profit allocation (Decision 2 - Chapter 2: Allocation problems)

hindsmaths Adapting the cost matrix to allow it to be used to maximise costs (like profit) before using the Hungarian algorithm 0:00 ...

The Allocation Problem 2

The Allocation Problem 2

Read more details and related context about The Allocation Problem 2.

Linear Programming Optimization (2 Word Problems)

Linear Programming Optimization (2 Word Problems)

Read more details and related context about Linear Programming Optimization (2 Word Problems).

Linear Programming (Optimization) 2 Examples Minimize & Maximize

Linear Programming (Optimization) 2 Examples Minimize & Maximize

Read more details and related context about Linear Programming (Optimization) 2 Examples Minimize & Maximize.

2.2 Using a dummy  (Decision 2 - Chapter 2: Allocation problems)

2.2 Using a dummy (Decision 2 - Chapter 2: Allocation problems)

Read more details and related context about 2.2 Using a dummy (Decision 2 - Chapter 2: Allocation problems).

Linear Programming

Linear Programming

This precalculus video tutorial provides a basic introduction into

2.1 The Hungarian algorithm  (Decision 2 - Chapter 2: Allocation problems)

2.1 The Hungarian algorithm (Decision 2 - Chapter 2: Allocation problems)

Read more details and related context about 2.1 The Hungarian algorithm (Decision 2 - Chapter 2: Allocation problems).

D2 Linear Programming Formulation of Allocation

D2 Linear Programming Formulation of Allocation

If you are preparing for your D2 examination (A2 mathematics/further mathematics) you may find this useful.

2.4 Managing incomplete data (Decision 2 - Chapter 2: Allocation problems)

2.4 Managing incomplete data (Decision 2 - Chapter 2: Allocation problems)

hindsmaths Adapting a cost matrix to deal with incomplete data, before using the Hungarian algorithm to minimise or maximise ...