2025-01-14 08:38:50
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{"algorithm":{"algorithm":{"currentFile":{"count":1,"lastUpdated":1736360369637}}},"computing":{"computing":{"currentFile":{"count":2,"lastUpdated":1736427522780}}},"tasks":{"tasks":{"currentFile":{"count":1,"lastUpdated":1736428160890}}},"parallelization":{"parallelization":{"currentFile":{"count":1,"lastUpdated":1736428239757}}},"Implicit":{"Implicit":{"currentFile":{"count":1,"lastUpdated":1736429811730}}},"Semi-implicit":{"Semi-implicit":{"currentFile":{"count":1,"lastUpdated":1736429857427}}},"Agent":{"Agent":{"currentFile":{"count":1,"lastUpdated":1736527234430}}},"Agents":{"Agents":{"currentFile":{"count":3,"lastUpdated":1736528265726}}},"actions":{"actions":{"currentFile":{"count":1,"lastUpdated":1736527553391}}},"successful":{"successful":{"currentFile":{"count":1,"lastUpdated":1736527687166}}},"agents":{"agents":{"currentFile":{"count":3,"lastUpdated":1736529446424}}},"environment":{"environment":{"currentFile":{"count":2,"lastUpdated":1736528276442}}},"actuators":{"actuators":{"currentFile":{"count":1,"lastUpdated":1736528278631}}},"Sensors":{"Sensors":{"currentFile":{"count":1,"lastUpdated":1736528280975}}},"state":{"state":{"currentFile":{"count":1,"lastUpdated":1736529437831}}},"types":{"types":{"currentFile":{"count":1,"lastUpdated":1736529458373}}},"Operatiosn":{"Operatiosn":{"currentFile":{"count":1,"lastUpdated":1736530551849}}}}
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{"algorithm":{"algorithm":{"currentFile":{"count":1,"lastUpdated":1736360369637}}},"computing":{"computing":{"currentFile":{"count":2,"lastUpdated":1736427522780}}},"tasks":{"tasks":{"currentFile":{"count":1,"lastUpdated":1736428160890}}},"parallelization":{"parallelization":{"currentFile":{"count":1,"lastUpdated":1736428239757}}},"Implicit":{"Implicit":{"currentFile":{"count":1,"lastUpdated":1736429811730}}},"Semi-implicit":{"Semi-implicit":{"currentFile":{"count":1,"lastUpdated":1736429857427}}},"Agent":{"Agent":{"currentFile":{"count":1,"lastUpdated":1736527234430}}},"Agents":{"Agents":{"currentFile":{"count":3,"lastUpdated":1736528265726}}},"actions":{"actions":{"currentFile":{"count":1,"lastUpdated":1736527553391}}},"successful":{"successful":{"currentFile":{"count":1,"lastUpdated":1736527687166}}},"agents":{"agents":{"currentFile":{"count":3,"lastUpdated":1736529446424}}},"environment":{"environment":{"currentFile":{"count":2,"lastUpdated":1736528276442}}},"actuators":{"actuators":{"currentFile":{"count":1,"lastUpdated":1736528278631}}},"Sensors":{"Sensors":{"currentFile":{"count":1,"lastUpdated":1736528280975}}},"state":{"state":{"currentFile":{"count":1,"lastUpdated":1736529437831}}},"types":{"types":{"currentFile":{"count":1,"lastUpdated":1736529458373}}},"Operatiosn":{"Operatiosn":{"currentFile":{"count":1,"lastUpdated":1736530551849}}},"Algorithms":{"Algorithms":{"currentFile":{"count":1,"lastUpdated":1736792441945}}},"Problem":{"Problem":{"currentFile":{"count":1,"lastUpdated":1736792504102}}}}
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@ -18,3 +18,12 @@ Looking at the number of times n is used, in the worst case scenario, we can see
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### Relatives of Big O,
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- Big Omega
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- Big Theta - If this is n squared, it means big omega and big o are also n squared.
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## GO over slides for Jan 13th as I missed first half
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### Greedy Algorithms
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Greedy algorithms always optimize for the current best chest, ignoring any possible better outcomes in the future.
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This can work in cases where a problem has a greedy property.
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### Making Change Problem
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In the case where the denominations are always larger/equal to 2 of the smaller denominations then it makes sense when giving change, to simply give the largest coin available.
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