This week we will talk about "exploring" the space of heuristics, which is the part of an optimization problem that has
no analytical solution. Specifically, we will talk about Dynamic Programming. We will talk about a graphical notation for some of the most important cases.
We will also talk about how to extend these cases to solve further cases, using the so called "Tree search".
During the week I will be updating the description of the examples to better explain them.
You can find the following book online:
Computer Algorithms: Introduction to Design and Analysis, Second edition.
Sara Baase. Computer Algorithms: Introduction to Design and Analysis. Second edition. Addison-Wesley, 1988. View PDF
This week we will talk about "exploring" the space of heuristics, which is the part of an optimization problem that has
no analytical solution. Specifically, we will talk about Dynamic Programming. We will talk about a graphical notation for some of the most important cases.
We will also talk about how to extend these cases to solve further cases, using the so called "Tree search".
During the week I will be updating the description of the examples to better explain them.
You can find the following book online:
Computer Algorithms: Introduction to Design and Analysis, Second edition.
Sara Baase. Computer Algorithms: Introduction to Design and Analysis. Second edition. Addison-Wesley, 1988. View PDF
This week we will talk about "exploring" the space of heuristics, which is the part of an optimization problem that has
no analytical solution. Specifically, we will talk about Dynamic Programming. We will talk about a graphical notation for some of the most important cases.
We will also talk about how to extend these cases to solve further cases, using the so called "Tree search".
During the week I will be updating the description of the examples to better explain them.
You can find the following book online:
Computer Algorithms: Introduction to Design and Analysis, Second edition.
Sara Baase. Computer Algorithms: Introduction to Design and Analysis. Second edition. Addison-Wesley, 1988. View PDF
This week we will talk about "exploring" the space of heuristics, which is the part of an optimization problem that has
no analytical solution. Specifically, 01e38acffe
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