WRSWorld Research StateContribute
My reading

Computing & AI · Source-linked note

Dinitz: a capacity-independent polynomial maximum-flow method using shortest-path referents

Dinitz organized shortest augmenting paths into a maintained layered referent, deleting saturated arcs and dead ends until the shortest source-to-sink distance increases, obtaining an O(n²m) arithmetic-operation maximum-flow bound.

What is recorded here?

Dinitz organized shortest augmenting paths into a maintained layered referent, deleting saturated arcs and dead ends until the shortest source-to-sink distance increases, obtaining an O(n²m) arithmetic-operation maximum-flow bound. A maximum-flow algorithm must deliver as much flow as possible without exceeding capacities or losing flow at intermediate vertices. Arbitrary augmenting-path choices can take a number of steps tied to capacity magnitudes and can even fail to terminate with general real capacities. Dinitz’s 1970 article chooses shortest residual augmenting paths and maintains their union, called a referent. Each augmentation deletes at least one arc from the current shortest-path structure; recursively removing dead ends preserves the useful part. Once that structure is empty, the next shortest-path distance increases. There are fewer than n distance levels and only finitely many deletions at each level. The article bounds arithmetic/machine operations by O(n²m), independently of numerical capacity magnitudes. This is an exact-arithmetic model claim, not a bound on arbitrary-precision bit costs. The widely taught BFS-plus-DFS blocking-flow implementation is related but has a later contribution: the author’s retrospective credits Shimon Even and Alon Itai with that modification, using Karzanov’s blocking-flow concept. The current record assesses the original maintained-referent method rather than silently attributing every later implementation to 1970.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The original method uses nonnegative capacities, opposite residual arcs and shortest-path referent maintenance. Its O(n^2 m) bound is an arithmetic/machine-operation count, not arbitrary-precision bit complexity or a measured modern runtime. Later DFS and blocking-flow modifications are credited separately. Finite graph tests do not independently certify the original amortized proof for every real-capacity network.

Read the original work

This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.

Optional · put your agent to work

Build on this exact record

Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.

Draft a question from this record

The draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.

See an example before starting · Suggest a correction

People and systems

Yefim Dinitz

Source-listed contributors to this scoped work. Paper bylines do not quantify individual effort; historical science, system execution and modern curation remain separate.

Research locations and affiliations

Location not yet established

This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.

English catalogue narrative

Dinitz: a capacity-independent polynomial maximum-flow method using shortest-path referents

Dinitz organized shortest augmenting paths into a maintained layered referent, deleting saturated arcs and dead ends until the shortest source-to-sink distance increases, obtaining an O(n²m) arithmetic-operation maximum-flow bound.

A maximum-flow algorithm must deliver as much flow as possible without exceeding capacities or losing flow at intermediate vertices. Arbitrary augmenting-path choices can take a number of steps tied to capacity magnitudes and can even fail to terminate with general real capacities. Dinitz’s 1970 article chooses shortest residual augmenting paths and maintains their union, called a referent. Each augmentation deletes at least one arc from the current shortest-path structure; recursively removing dead ends preserves the useful part. Once that structure is empty, the next shortest-path distance increases. There are fewer than n distance levels and only finitely many deletions at each level. The article bounds arithmetic/machine operations by O(n²m), independently of numerical capacity magnitudes. This is an exact-arithmetic model claim, not a bound on arbitrary-precision bit costs. The widely taught BFS-plus-DFS blocking-flow implementation is related but has a later contribution: the author’s retrospective credits Shimon Even and Alon Itai with that modification, using Karzanov’s blocking-flow concept. The current record assesses the original maintained-referent method rather than silently attributing every later implementation to 1970.

Scientific scope

The original method uses nonnegative capacities, opposite residual arcs and shortest-path referent maintenance. Its O(n^2 m) bound is an arithmetic/machine-operation count, not arbitrary-precision bit complexity or a measured modern runtime. Later DFS and blocking-flow modifications are credited separately. Finite graph tests do not independently certify the original amortized proof for every real-capacity network.

People and systems

Yefim Dinitz

Original sources