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The TCS Formalization Drive

A coordinated effort to formalize the mathematics of theoretical computer science in Lean 4.

Scope: missions in computational complexity, algorithms and optimization, data structures, automata and computability, randomized and approximation algorithms, cryptography, learning theory, information theory, algorithmic game theory, combinatorics, computational geometry, and distributed computing.

582 missions

Missions

376–400 of 582
Open104Completed478All582
🏆Completed
Algorithmic Game TheoryOperations ResearchTheoretical Computer Science·Captain: mikedeng1

Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Nonstochastic Inputs III: Under a Consistent Allocation Rule, (α, β)-Balanced Prices Are Closed Under Maxima of ValuationsResearch Paper

Posted prices turn an offline allocation problem into a sequential choice process: each agent sees a menu of outcomes and prices, then chooses an outcome without revealing its full valuation. The balanced prices framework of Dütting, Feldman, Kesselheim, and Lucier gives welfare guarantees by comparing the revenue collected from an allocation with the…

7 thms2 active usersReviewed
🏆Completed
Linear algebraNumerical AnalysisOptimization+1·Captain: mikedeng1

Low Rank Approximation and Regression in Input Sparsity Time 2: Sketched Multiple-Response Regression Is (1 + 4ε)-Optimal in Squared Error If the Sketch Embeds the Subspace and Approximates ProductsResearch Paper

Least-squares regression, min⁡X∥AX−B∥F\min_X\|AX-B\|_FminX​∥AX−B∥F​ for a tall matrix A∈Rn×dA\in\mathbb R^{n\times d}A∈Rn×d with n≫dn\gg dn≫d, is among the most frequently solved problems in numerical computation. Direct methods (QR or SVD) cost O(nd2)O(nd^2)O(nd2) time, which is prohibitive when nnn is in the millions. Sketching replaces the problem by a much smaller one: choose a matrix S∈Rt×nS\in\mathbb R^{t\times n}S∈Rt×n…

7 thms2 active usersReviewed
Linear algebraNumerical AnalysisProbability+1·Captain: mikedeng1

Low Rank Approximation and Regression in Input Sparsity Time 1: A Sparse Embedding Matrix with O((r/ε)⁴ log²(r/ε)) Rows Is a (1 ± ε) Subspace Embedding for a Rank-r Matrix with Probability 9/10Research Paper

Many matrix algorithms spend most of their time reading their input. A matrix with few nonzero entries should admit routines whose cost scales with that number, rather than with the product of its dimensions. Clarkson and Woodruff study random maps that compress a matrix before a regression or low rank approximation calculation while retaining the geometric…

9 thms2 active usersReviewed
CombinatoricsGraph TheoryTheoretical Computer Science·Captain: mikedeng1

Twin-width I: Tractable FO Model Checking 4: Every K_t-Minor-Free Graph Has Twin-width at Most 4c_g(t)·2^(4c_g(t)+2), a Triple-Exponential Bound in tResearch Paper

Many graph classes are defined by excluding a fixed graph as a minor. A minor can be formed by deleting vertices, deleting edges, and contracting edges. Planar graphs, for example, exclude K5K_5K5​ as a minor. Édouard Bonnet, Eun Jung Kim, Stéphan Thomassé, and Rémi Watrigant proved that every class excluding a fixed clique minor has bounded twin-width, a graph…

17 thms2 active usersReviewed
🏆Completed
CombinatoricsGraph TheoryTheoretical Computer Science·Captain: mikedeng1

A c^k n 5-Approximation Algorithm for Treewidth 2: X Is a Balanced S-Separator iff V(G)∖X Splits into Three Mutually Non-Adjacent Parts Each Holding at Most |S|/2 Vertices of SResearch Paper

The paper of Bodlaender, Drange, Dregi, Fomin, Lokshtanov and Pilipczuk (2016) has an algorithmic headline. This mission concerns one of its finite graph lemmas, Lemma 2.9. The lemma translates a condition phrased separately for every connected component into a condition on three vertex sets. A reader of graph decompositions encounters both forms:…

6 thms2 active usersReviewed
🏆Completed
AlgebraTheoretical Computer Science·Captain: mikedeng1

Fast Polynomial Factorization and Modular Composition 3: The Frobenius Lift φ and Projection π Recover f(α) from the Kronecker Substitution f*(Y) = f(Y, Y^h, …, Y^{h^{m−1}})Research Paper

Multivariate multipoint evaluation asks for the values f(α0),…,f(αN−1)f(\alpha_0), \dots, f(\alpha_{N-1})f(α0​),…,f(αN−1​) of one polynomial f∈Fq[X0,…,Xm−1]f \in \mathbb F_q[X_0, \dots, X_{m-1}]f∈Fq​[X0​,…,Xm−1​] at NNN points of Fqm\mathbb F_q^mFqm​. Kedlaya and Umans showed that this problem is equivalent to modular composition, the computation of f(g(X)) mod h(X)f(g(X)) \bmod h(X)f(g(X))modh(X) for univariate polynomials, and that fast algorithms for it…

8 thms2 active usersReviewed
🏆Completed
AlgebraNumber TheoryTheoretical Computer Science·Captain: mikedeng1

Fast Polynomial Factorization and Modular Composition 2: Multimodular Reduction with Primes up to 16 log N and Kronecker Lifting Correctly Evaluate Multivariate Polynomials over (ℤ/rℤ)[Z]/(E(Z))Research Paper

Multivariate multipoint evaluation asks for the values f(α0),…,f(αN−1)f(\alpha_0),\dots,f(\alpha_{N-1})f(α0​),…,f(αN−1​) of a polynomial f(X0,…,Xm−1)f(X_0,\dots,X_{m-1})f(X0​,…,Xm−1​) over a ring RRR, with individual degrees at most d−1d-1d−1, at NNN given points of RmR^mRm. Kedlaya and Umans showed that, over finite fields and rings (Z/rZ)[Z]/(E(Z))(\mathbb Z/r\mathbb Z)[Z]/(E(Z))(Z/rZ)[Z]/(E(Z)), this problem can be solved in time nearly linear in the input…

14 thms2 active users
🏆Completed
Linear OptimizationOperations ResearchTheoretical Computer Science·Captain: mikedeng1

Online Primal-Dual Algorithms for Covering and Packing 2: The Phased Online Fractional Covering Scheme Covers Every Constraint to 1/B at Cost at Most 8 log(2n)/B Times the OptimumResearch Paper

Online covering models decisions that must be made as requirements arrive. A planner knows the cost of each available resource, but learns the requirements one at a time and cannot undo an allocation already made. This occurs, for example, when requests for network service or elements needing coverage appear over time. The central question is how much more…

7 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: mikedeng1

A c^k n 5-Approximation Algorithm for Treewidth 3: A Rooted Tree with a Measure μ ≥ 1, Superadditive over Children and Shrinking by C < 1 Along Each Edge, Has at Most (1+1/(1−C))μ(r)−1 NodesResearch Paper

Treewidth measures how closely a graph resembles a tree. Bodlaender, Drange, Dregi, Fomin, Lokshtanov and Pilipczuk (SIAM J. Comput. 45(2), 2016) study an algorithm for producing tree decompositions. Its headline result is algorithmic; this mission formalizes one combinatorial lemma used in its analysis.

8 thms2 active usersReviewed
🏆Completed
AlgebraComplexity TheoryLinear algebra+1·Captain: mikedeng1

Most Tensor Problems Are NP-Hard 4: A Rational 2×2×2 Tensor Has Smaller Rank over the Reals Than over the RationalsResearch Paper

The rank of a matrix does not depend on the field in which its entries are read: a rational matrix has the same rank over Q\mathbb QQ, R\mathbb RR and C\mathbb CC, because rank is computed by Gaussian elimination, which never leaves the field of the entries. For 3-tensors, arrays A=[ ⁣[aijk] ⁣]\mathcal A = [\![a_{ijk}]\!]A=[[aijk​]] with three indices, this fails. Tensor rank governs the…

8 thms2 active usersReviewed
Complexity TheoryGraph TheoryLinear algebra+2·Captain: mikedeng1

Most Tensor Problems Are NP-Hard 3: The Clique Number Is the Unique l for Which an Explicit Graph Tensor Has Spectral Norm 1Research Paper

The spectral norm of a matrix, its largest singular value, is computable in polynomial time to any accuracy. Its analogue for 3-tensors appears in the analysis of multilinear systems, in the best rank-1 approximation of a data array, in quantum information (the geometric measure of entanglement), and in the injective norm of tensor products. Hillar and Lim, …

11 thms2 active usersReviewed
🏆Completed
CombinatoricsGraph TheoryTheoretical Computer Science·Captain: mikedeng1

Generation and Properties of Snarks 1: Inserting an Edge Between Two Edges of One Bicoloured Cycle of a 3-Edge-Coloured Cubic Graph Yields a 3-Edge-Colourable GraphResearch Paper

A snark is an uncolourable, cyclically 4-edge-connected cubic graph of girth at least 5: a cubic graph whose edges cannot be properly coloured with three colours, and which is not reducible to a smaller such graph by an elementary operation. Snarks are the critical cases for several of the central conjectures of graph theory, among them the cycle double…

8 thms2 active usersReviewed
🏆Completed
Machine LearningProbabilityTheoretical Computer Science·Captain: mikedeng1

A Learning Theory Approach to Non-Interactive Database Privacy 3: No Differentially Private Mechanism Is Useful for Interval Queries over Real-Valued DatabasesResearch Paper

Differential privacy (Dwork, McSherry, Nissim, Smith 2006) asks that a randomized algorithm run on a database behave almost identically whether or not any single record is changed. A central question for data curators is non-interactive release: publish, once, a sanitized object (ideally a synthetic database) from which analysts can answer many statistical…

4 thms2 active usersReviewed
🏆Completed
Machine LearningProbabilityTheoretical Computer Science·Captain: mikedeng1

A Learning Theory Approach to Non-Interactive Database Privacy 4: (ε, β)-Distributional Privacy with β = o(1/n²) Implies ε-Differential PrivacyResearch Paper

Differential privacy (Dwork, McSherry, Nissim and Smith 2006) is the standard guarantee for releasing statistics about a sensitive database: replacing one record changes the probability of any outcome by at most a factor eεe^{\varepsilon}eε. In their paper on non-interactive database privacy, Blum, Ligett and Roth propose an alternative motivated by learning…

3 thms2 active usersReviewed
🏆Completed
CombinatoricsTheoretical Computer Science·Captain: xuanji

Deterministic APSP in O(n^2.995561) time on a Word RAMResearch Paper

All-pairs shortest paths (APSP) asks for the exact distance between every ordered pair of vertices in an nnn-vertex weighted directed graph. Floyd–Warshall solves it in O(n3)O(n^3)O(n3) time, and for decades no algorithm beat n3−δn^{3-\delta}n3−δ for any constant δ>0\delta>0δ>0 on graphs with polynomially bounded integer weights. In 2026, Alman and Vassilevska Williams (arXiv:2610.06…

5 thms2 active usersReviewed
🏆Completed
Complexity TheoryProbabilityTheoretical Computer Science·Captain: mikedeng1

New Techniques for Noninteractive Zero-Knowledge 2: On a Perfectly Hiding Key the Circuit-SAT Proof from a Homomorphic Proof Commitment Is Perfect Zero-KnowledgeResearch Paper

A non-interactive zero-knowledge (NIZK) proof lets a prover convince a verifier that a statement is true by sending a single message, computed from a common reference string σ\sigmaσ that both parties share, without revealing anything beyond the truth of the statement. NIZK proofs were introduced by Blum, Feldman and Micali (STOC 1988) and are a building…

10 thms2 active usersReviewed
🏆Completed
Operations ResearchProbabilityTheoretical Computer Science·Captain: mikedeng1

Matroid Prophet Inequalities 3: Stopping at the First Value Above E[max X_i]/2 Earns at Least Half the Prophet's Expected MaximumResearch Paper

A prophet inequality compares two players facing the same random sequence of rewards X1,X2,…,XnX_1, X_2, \dots, X_nX1​,X2​,…,Xn​. The gambler sees the values one at a time and must decide, as each value arrives, whether to stop and collect it; a value passed over is lost. The prophet knows the whole sequence in advance and simply takes its maximum. In 1978 Krengel, Sucheston and…

5 thms2 active usersReviewed
🏆Completed
CombinatoricsGraph TheoryOperations Research+1·Captain: mikedeng1

Hardness of Approximating Flow and Job Shop Scheduling Problems 2: Coloring Reduction Gap: Makespan 2L·lb if G Is L-Colorable, Independent Set of Size n/(8L) if Half the Jobs Finish by L·lbResearch Paper

In the job shop problem, jobs are sequences of operations, each to be processed on a given machine for a given time, and the goal is a schedule of minimum makespan (the time at which the last job finishes). Two numbers bound the optimum from below: the longest job and the most loaded machine. Their maximum is written lb\mathrm{lb}lb. The best approximation…

12 thms2 active usersReviewed
🏆Completed
Complexity TheoryTheoretical Computer Science·Captain: mikedeng1

New Techniques for Noninteractive Zero-Knowledge 1: The Circuit-SAT Proof from a Homomorphic Proof Commitment Is Perfectly Complete, Perfectly Sound and a Perfect Proof of Knowledge on Binding KeysResearch Paper

A non-interactive zero-knowledge (NIZK) proof lets a prover convince a verifier that a statement is true by sending a single message, computed from a common reference string σ\sigmaσ that both parties share, without revealing why the statement is true. NIZK proofs were introduced by Blum, Feldman and Micali (STOC 1988). They are a basic component of…

9 thms2 active usersReviewed
🏆Completed
Graph TheoryLinear algebraTheoretical Computer Science·Captain: mikedeng1

Graph Sparsification by Effective Resistances 2: Approximate Laplacian Solves Preserve Effective-Resistance Sketches up to (1±ε)²Research Paper

The effective resistance between two vertices of a weighted graph is the voltage difference that appears between them when the graph is viewed as an electrical network, edge weights being conductances, and one unit of current is injected at one vertex and extracted at the other. Effective resistances drive the spectral sparsification algorithm of Spielman…

5 thms2 active usersReviewed
🏆Completed
Complexity TheoryQuantum InformationTheoretical Computer Science·Captain: wurtle

Product-projection localization and the QAC0 parity lower boundResearch Paper

Parity, PARITYn(x)=x1⊕⋯⊕xn\mathrm{PARITY}_n(x)=x_1\oplus\cdots\oplus x_nPARITYn​(x)=x1​⊕⋯⊕xn​, is the standard test of whether a shallow circuit can aggregate information from all of its inputs. Classically, constant-depth circuits with unbounded fan-in AND/OR gates (AC0\mathsf{AC}^0AC0) cannot compute it: Furst, Saxe and Sipser (Math. Systems Theory 1984) and Ajtai (APAL 1983) proved superpolynomial…

32 thms2 active usersReviewed
🏆Completed
Mathematical LogicTheoretical Computer Science·Captain: wurtle

Weak and strong normalization in pure type systemsResearch Paper

Pure type systems (PTSs) are a uniform framework covering the simply typed λ-calculus, System F, the calculus of constructions and the type theories behind proof assistants such as Coq and Lean. A system is specified by its sorts (like ∗\ast∗ and □\square□), axioms (∗:□\ast:\square∗:□) and product rules (which dependent function types may be formed). Normalization is…

4 thms2 active usersReviewed
🏆Completed
Complexity TheoryMathematical LogicTheoretical Computer Science·Captain: wurtle

Witnessed symmetric choice is strictly stronger than choiceless polynomial time with countingResearch Paper

A logic for unordered finite structures (graphs, databases, relational inputs given up to isomorphism) must give answers that do not depend on how the input elements are named. Many polynomial-time algorithms nevertheless make arbitrary intermediate choices, for example the pivot in Gaussian elimination, without changing their final answer. Choiceless…

4 thms2 active usersReviewed
🏆Completed
Complexity TheoryMathematical LogicTheoretical Computer Science·Captain: wurtle

Choiceless polynomial time with counting does not capture polynomial timeResearch Paper

Descriptive complexity asks whether complexity classes can be characterized by logics, without reference to machines. Immerman and Vardi (1982) showed that on ordered finite structures, first-order logic with a least fixed-point operator expresses exactly the polynomial-time queries. On unordered structures, such as graphs given only up to isomorphism, an…

4 thms2 active usersReviewed
🏆Completed
CombinatoricsProbabilityTheoretical Computer Science·Captain: wurtle

Variance of the Random k-SAT Hitting TimeResearch Paper

Add random clauses one at a time to a Boolean formula on nnn variables until it first becomes unsatisfiable. The index HnH_nHn​ of that first failure is the satisfiability hitting time of random kkk-SAT. Its mean, divided by nnn, converges to the satisfiability threshold; its variance measures the width of the transition window. Friedgut's sharp-threshold theorem…

32 thms2 active usersReviewed
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