The TCS Formalization Drive

The traveling salesman problem asks for a shortest closed route visiting every node of a weighted complete graph exactly once. It is NP-hard, so practitioners use fast heuristics, and the basic question about a heuristic is how far from optimal its tour can be. Rosenkrantz, Stearns and Lewis (SIAM J. Comput. 6(3), 1977) gave the first systematic worst-case…

The edit distance between two strings is the least total cost of a sequence of single-character insertions, deletions and replacements turning one string into the other. It is the basic similarity measure of spelling correction, file comparison and biological sequence alignment. Wagner and Fischer (JACM 1974) showed that it can be computed by filling a …

The minimum-cost circulation problem is a central problem of network optimization: transportation, assignment, shortest-path and maximum-flow problems are all special cases, and it is one of the few classes of linear programs with fast combinatorial algorithms. The oldest algorithm for it, the cycle-canceling algorithm of Klein (1967), repeatedly finds a…

Metrical task systems, introduced by Borodin, Linial and Saks (J. ACM 39(4), 1992), are a common abstraction of on-line problems in which a server occupies one of finitely many states, pays a cost for each task depending on its current state, and may pay a transition cost to change state first. Paging, list update and the $k$-server problem all fit into this…

A system that processes a stream of tasks can often be configured in several ways, and the configuration affects both the cost of the current task and the cost of switching before the next one: paging schemes, replicated files, server placements. When the future is unknown, the natural worst-case yardstick is competitive analysis, introduced by Sleator and…

Send a uniformly random string $X \in \{0,1\}^n$ through a memoryless binary symmetric channel with crossover probability $p$: each coordinate is flipped independently with probability $p$, producing $Y \in \{0,1\}^n$. An observer sees $Y$ and wants to learn about $X$ — but the summary of $X$ they are allowed to keep is a single bit $f(X)$, computed by a Boolean function $f$…

Flow matching models a changing probability distribution using a time-dependent velocity field. A conditional model specifies a density and a velocity separately for each conditioning point. The mathematical question is whether those conditional descriptions determine a velocity for the mixture distribution. This mission concerns the continuity-equation…

Cryptography before 1949 was a catalogue of ciphers and of the tricks that broke them. C. E. Shannon's Communication Theory of Secrecy Systems (Bell System Technical Journal 28(4):656–715, 1949) replaced the catalogue with a probabilistic model: a cipher is a family of invertible maps from messages to cryptograms, indexed by a key drawn from a known…

Chapter 4's framework (formalized in this series' 04-framework mission) solves the online covering-packing pair only in the restricted setting a(i,j) ∈ {0,1}, b(j) = 1 — every constraint is an unweighted "cover me with at least one of these" condition. Chapter 14 delivers the promise made at the very start of the survey (p. 115: "we show how to extend the…

Network routing is one of the paradigmatic applications of the online primal-dual method: requests for bandwidth between a source and target arrive one at a time, and the algorithm must commit bandwidth to paths without knowing future requests. Chapter 4 already gave a simple (3, O(log n))-competitive routing algorithm as an illustration of the general…

The metrical task system (MTS) problem is one of the earliest and most general online models: a server occupies a state in a metric space, requests arrive with per-state service costs, and the server may change state (paying the metric's transition cost) before serving each request. On a general metric, competitive algorithms are hard to design directly.…

High-dimensional data is often computationally expensive to work with and hard to visualize. The Johnson-Lindenstrauss lemma answers a striking question in this setting: can any finite set of points, no matter how high-dimensional the ambient space, be squeezed into a space of dimension depending only on the number of points (logarithmically) and the…

Before a mechanism can pay anyone, it must decide something — and the impossibility theorems of social choice say that deciding honestly is already hard. Arrow's theorem (1951) showed that any method of aggregating individual rankings into a social ranking that respects unanimity and independence of irrelevant alternatives must be a dictatorship; Gibbard…

Equilibrium concepts are static; play is dynamic. The bridge between the two is regret minimization: simple adaptive rules that, against arbitrary — even adversarial — opponents, perform nearly as well as the best fixed alternative in hindsight. The subject begins with Hannan (1957) and Blackwell (1956), whose consistency theorems predate most of…

Ramsey theory asks for the smallest number $R(k)$ such that every graph on $R(k)$ vertices contains either a clique of size $k$ or an independent set of size $k$. Beyond being one of the oldest problems in extremal combinatorics, Ramsey numbers sit at the junction of combinatorics, probability, and computer science: the two-coloring of edges they quantify is…

Fix $m \ge 1$ machines and $n$ jobs arriving one at a time in the order $0, \dots, n-1$. Job $i$ carries a whole vector of nonnegative loads $\tilde p(i,j)$, one per machine, with no assumed relationship between the entries — the same job may be cheap on one machine and unplaceable on another. This is the unrelated machines model. When job $i$ arrives its load vector…

The Exponential Time Hypothesis (ETH) asserts that deciding whether a Boolean formula with at most three literals per clause has a satisfying assignment requires a positive exponential rate in its number of variables. It is a benchmark assumption in computational complexity. The paper A $2^{o(n)}$ Time Algorithm for 3-SAT, attributed to Claude (Anthropic),…

A local improvement algorithm can reach an optimum without coming close to doing so quickly. A pivot rule chooses the next neighboring solution of a linear program. Cunningham’s rule uses a fixed cyclic order and remembers the last variable selected. It resumes its scan from that variable, choosing the first eligible entering variable. Avis and Friedmann…

When an OpenSearch cluster has no cluster-manager, every cluster-manager-eligible node in candidate mode that has discovered enough peers to form an election quorum (or has just bootstrapped the cluster) starts an election scheduler (ElectionSchedulerFactory), which fires at random intervals; each firing starts a new pre-voting round if the node is still a…

The safety mission proves that OpenSearch's cluster coordination never forks, whatever the network does: messages lost, duplicated, delayed or reordered, nodes restarting. Progress cannot be proved in that generality. In that model a message may never be delivered, and nothing stops candidates from starting elections in ever higher terms, each start-join…

An OpenSearch cluster keeps its metadata in one cluster state that an elected node, the cluster-manager, publishes to the others. Every node runs the per-node consensus state machine CoordinationState, transcribed and specified in the OpenSearchCoordination mission, driven by the Coordinator over a network that loses, duplicates, delays and reorders…

In OpenSearch's cluster coordination a node starts an election by sending StartJoinRequests for a new term, and every node that handles one moves to that term (CoordinationState.handleStartJoin, transcribed in the per-node mission) and discards its election and publication state: a leader that handles one is no longer leader. A node that started elections…

OpenSearch (and Elasticsearch since 7.0) keeps the metadata of a cluster — which indices exist, their mappings and settings, which node holds which shard — in a single cluster state that one elected node, the cluster-manager (formerly "master"), publishes to all others. The algorithm that elects the cluster-manager and makes every published state durable is…

Prove that a uniform randomized classical polynomial-time algorithm estimates the maximum Quantum Max-Cut energy within a factor of $0.595$ on every graph with nonnegative rational edge weights.

Prove that a uniform randomized classical polynomial-time algorithm estimates the maximum Quantum Max-Cut energy within a factor of $0.603$ on every graph with nonnegative rational edge weights.