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Commit 293d2182 authored by Brady James Garvin's avatar Brady James Garvin
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Recorded work from Tuesday.

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...@@ -4,6 +4,8 @@ Please clone the starter code linked from Canvas (with `git clone --recursive` s ...@@ -4,6 +4,8 @@ Please clone the starter code linked from Canvas (with `git clone --recursive` s
In the weighted directed graph to the right, what is the shortest path from `a` to `d`? In the weighted directed graph to the right, what is the shortest path from `a` to `d`?
* `a``c``e``f``d` (length 14)
# Problem 2: # Problem 2:
For a certain puzzle played on a string of digits, each move may slide any digit `x` left `x` places or right `x` places, as long as there is room. For example, the `4` in `123456789` can move right four spots: For a certain puzzle played on a string of digits, each move may slide any digit `x` left `x` places or right `x` places, as long as there is room. For example, the `4` in `123456789` can move right four spots:
...@@ -22,6 +24,9 @@ but it cannot move left, because trying would move it past the end of the string ...@@ -22,6 +24,9 @@ but it cannot move left, because trying would move it past the end of the string
How many moves does it take to reverse the string `123`? How many moves does it take to reverse the string `123`?
* Four moves: `123``213``231``312``321`
* Four moves: `123``213``132``312``321`
--------------------------------------------------------------------- ---------------------------------------------------------------------
# Worklist Algorithms for Graph Search # Worklist Algorithms for Graph Search
...@@ -31,45 +36,70 @@ How many moves does it take to reverse the string `123`? ...@@ -31,45 +36,70 @@ How many moves does it take to reverse the string `123`?
## Depth-First Search (DFS) ## Depth-First Search (DFS)
* Worklist: * Worklist: Stack
* Guaranteed to find a path if one exists * Guaranteed to find a path if one exists
* Not guaranteed to find a good path * Not guaranteed to find a good path
* Can be made very memory efficient (topic for a later class) * Can be made very memory efficient (topic for a later class)
Worklist Backpointers Worklist Backpointers
-------- ------------ -------- ------------
(⊥, a) (⊥, a) ✓ a → (⊥, a)
(a, c) ✓ c → (a, c)
(c, e) b → (c, b)
(c, b) ✓ e → (b, e)
(b, e) ✓ f → (e, f)
(b, a) ✓ d → (f, d)
(e, d)
(e, f) ✓
(f, c)
(f, d) ✓
Reversed Path Reversed Path
---- ----
d ← f ← e ← b ← c ← a
## Breadth-First Search (BFS) ## Breadth-First Search (BFS)
* Worklist: * Worklist: Queue
* Guaranteed to find a path with the fewest edges * Guaranteed to find a path with the fewest edges
Worklist Backpointers Worklist Backpointers
-------- ------------ -------- ------------
(⊥, a) (⊥, a) ✓ a → (⊥, a)
(a, c) ✓ c → (a, c)
(c, e) ✓ e → (c, e)
(c, b) ✓ b → (c, b)
(e, d) ✓ d → (e, d)
(e, f)
(b, e)
(b, a)
Reversed Path Reversed Path
---- ----
d ← e ← c ← a
## Dijkstra's Algorithm ## Dijkstra's Algorithm
* Worklist: * Worklist: Priority Queue
* Priority: * Priority: Distance traveled from the source
* Guaranteed to find a path with least weight * Guaranteed to find a path with least weight
Worklist Backpointers Worklist Backpointers
------------ -------------- ------------ --------------
(⊥, a, 0) (⊥, a, 0) ✓ a → (⊥, a, 0)
(a, c, 7) ✓ c → (a, c, 7)
(c, e, 12) ✓ b → (c, b, 8)
(c, b, 8) ✓ e → (c, e, 12)
(b, e, 17) f → (e, f, 14)
(b, a, 12) ✓ d → (f, d, 14)
(e, d, 15)
(e, f, 14) ✓
(f, c, 22)
(f, d, 14) ✓
Reversed Path Reversed Path
---- ----
d ← f ← e ← c ← a
## Best-First Search ## Best-First Search
......
...@@ -9,33 +9,86 @@ class Edge { ...@@ -9,33 +9,86 @@ class Edge {
} }
export function dfs(graph, source, destination) { export function dfs(graph, source, destination) {
// // SEARCH: // SEARCH:
// // base case const backpointers = new Map();
// // initiation const worklist = [];
// while (…) { // termination condition worklist.push(new Edge(undefined, source));
// // consecution (part i) while (worklist.length > 0) {
// // action const workitem = worklist.pop();
// if (…) { // early termination conditional if (backpointers.has(workitem.to)) {
// // POSTPROCESSING: continue;
// // base case }
// for(…; // initiation backpointers.set(workitem.to, workitem);
// …; // termination condition if (workitem.to === destination) {
// …) { // consecution // POSTPROCESSING:
// // action const reversedPath = [];
// } for (let current = workitem.to;
// return …; current !== undefined;
// } current = backpointers.get(current).from) {
// // consecution (part ii) reversedPath.push(current);
// } }
return undefined; // TODO: stub return reversedPath.reverse();
}
for (const incidence of graph.getIncidences(workitem.to)) {
worklist.push(new Edge(workitem.to, incidence.destination));
}
}
return undefined;
} }
export function bfs(graph, source, destination) { export function bfs(graph, source, destination) {
return undefined; // TODO: stub const backpointers = new Map();
const worklist = new Queue();
worklist.insert(new Edge(undefined, source));
while (worklist.size > 0) {
const workitem = worklist.remove();
if (backpointers.has(workitem.to)) {
continue;
}
backpointers.set(workitem.to, workitem);
if (workitem.to === destination) {
const reversedPath = [];
for (let current = workitem.to;
current !== undefined;
current = backpointers.get(current).from) {
reversedPath.push(current);
}
return reversedPath.reverse();
}
for (const incidence of graph.getIncidences(workitem.to)) {
worklist.insert(new Edge(workitem.to, incidence.destination));
}
}
return undefined;
} }
export function dijkstras(graph, source, destination) { export function dijkstras(graph, source, destination) {
return undefined; // TODO: stub const backpointers = new Map();
const worklist = new PriorityQueue();
worklist.insert(new Edge(undefined, source, 0), 0);
while (worklist.size > 0) {
const workitem = worklist.remove();
if (backpointers.has(workitem.to)) {
continue;
}
backpointers.set(workitem.to, workitem);
if (workitem.to === destination) {
const reversedPath = [];
for (let current = destination;
current !== undefined;
current = backpointers.get(current).from) {
reversedPath.push(current);
}
return reversedPath.reverse();
}
for (const incidence of graph.getIncidences(workitem.to)) {
worklist.insert(
new Edge(workitem.to, incidence.destination, workitem.distance + incidence.weight),
workitem.distance + incidence.weight,
);
}
}
return undefined;
} }
function heuristic(vertex, destination) { function heuristic(vertex, destination) {
......
...@@ -29,7 +29,7 @@ function formatSolution(solution) { ...@@ -29,7 +29,7 @@ function formatSolution(solution) {
} }
export function Solution(props) { export function Solution(props) {
const search = dfs; const search = dijkstras;
const firstSolution = search(firstExample, 'a', 'd'); const firstSolution = search(firstExample, 'a', 'd');
const secondSolution = search(secondExample, '123', '321'); const secondSolution = search(secondExample, '123', '321');
return ( return (
......
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