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PrimalDual

Struct PrimalDual 

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pub struct PrimalDual<'a> {
    graph: &'a BidirectionalSparseGraph,
    capacities: Vec<u64>,
    costs: Vec<i64>,
    potential: Vec<i64>,
    dist: Vec<i64>,
    prev_vertex: Vec<usize>,
    prev_edge: Vec<usize>,
    has_negedge: bool,
    queue: BinaryHeap<(Reverse<i64>, usize)>,
}

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§graph: &'a BidirectionalSparseGraph§capacities: Vec<u64>§costs: Vec<i64>§potential: Vec<i64>§dist: Vec<i64>§prev_vertex: Vec<usize>§prev_edge: Vec<usize>§has_negedge: bool§queue: BinaryHeap<(Reverse<i64>, usize)>

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impl PrimalDual<'_>

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pub fn builder(vsize: usize, esize_expect: usize) -> PrimalDualBuilder

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fn bellman_ford(&mut self, s: usize)

Examples found in repository?
crates/competitive/src/graph/minimum_cost_flow.rs (line 140)
136    pub fn minimum_cost_flow_limited(&mut self, s: usize, t: usize, limit: u64) -> (u64, i64) {
137        let mut flow = 0;
138        let mut cost = 0;
139        if self.has_negedge {
140            self.bellman_ford(s);
141        }
142        while flow < limit && self.dijkstra(s, t) {
143            let shortest = self.dist[t];
144            for (p, d) in self.potential.iter_mut().zip(self.dist.iter()) {
145                *p = p.saturating_add((*d).min(shortest));
146            }
147            let mut f = limit - flow;
148            let mut v = t;
149            while v != s {
150                f = f.min(self.capacities[self.prev_edge[v]]);
151                v = self.prev_vertex[v];
152            }
153            flow += f;
154            cost += f as i64 * (self.potential[t] - self.potential[s]);
155            let mut v = t;
156            while v != s {
157                self.capacities[self.prev_edge[v]] -= f;
158                self.capacities[self.prev_edge[v] ^ 1] += f;
159                v = self.prev_vertex[v];
160            }
161        }
162        (flow, cost)
163    }
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fn dijkstra(&mut self, s: usize, t: usize) -> bool

Examples found in repository?
crates/competitive/src/graph/minimum_cost_flow.rs (line 142)
136    pub fn minimum_cost_flow_limited(&mut self, s: usize, t: usize, limit: u64) -> (u64, i64) {
137        let mut flow = 0;
138        let mut cost = 0;
139        if self.has_negedge {
140            self.bellman_ford(s);
141        }
142        while flow < limit && self.dijkstra(s, t) {
143            let shortest = self.dist[t];
144            for (p, d) in self.potential.iter_mut().zip(self.dist.iter()) {
145                *p = p.saturating_add((*d).min(shortest));
146            }
147            let mut f = limit - flow;
148            let mut v = t;
149            while v != s {
150                f = f.min(self.capacities[self.prev_edge[v]]);
151                v = self.prev_vertex[v];
152            }
153            flow += f;
154            cost += f as i64 * (self.potential[t] - self.potential[s]);
155            let mut v = t;
156            while v != s {
157                self.capacities[self.prev_edge[v]] -= f;
158                self.capacities[self.prev_edge[v] ^ 1] += f;
159                v = self.prev_vertex[v];
160            }
161        }
162        (flow, cost)
163    }
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pub fn minimum_cost_flow_limited( &mut self, s: usize, t: usize, limit: u64, ) -> (u64, i64)

Return (flow, cost).

Examples found in repository?
crates/competitive/src/graph/minimum_cost_flow.rs (line 166)
165    pub fn minimum_cost_flow(&mut self, s: usize, t: usize) -> (u64, i64) {
166        self.minimum_cost_flow_limited(s, t, u64::MAX)
167    }
More examples
Hide additional examples
crates/aizu_online_judge/src/grl/grl_6_b.rs (line 12)
5pub fn grl_6_b(reader: impl Read, writer: impl Write) {
6    prepare_io!(reader, writer);
7    sc!(vs, es, f: u64, edges: [(usize, usize, u64, i64); iter es]);
8    let mut builder = PrimalDualBuilder::new(vs, es);
9    builder.extend(edges);
10    let graph = builder.gen_graph();
11    let mut pd = builder.build(&graph);
12    let (flow, cost) = pd.minimum_cost_flow_limited(0, vs - 1, f);
13    pp!(if flow < f { -1 } else { cost });
14}
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pub fn minimum_cost_flow(&mut self, s: usize, t: usize) -> (u64, i64)

Return (flow, cost).

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pub fn get_flow(&self, eid: usize) -> u64

Trait Implementations§

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impl<'a> Debug for PrimalDual<'a>

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl<'a> Freeze for PrimalDual<'a>

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impl<'a> RefUnwindSafe for PrimalDual<'a>

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impl<'a> Send for PrimalDual<'a>

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impl<'a> Sync for PrimalDual<'a>

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impl<'a> Unpin for PrimalDual<'a>

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impl<'a> UnsafeUnpin for PrimalDual<'a>

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impl<'a> UnwindSafe for PrimalDual<'a>

Blanket Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> ToArrayVecScalar for T

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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = !

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, !>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.